Single-beam bathymetric surveys were conducted on July 27-29, 2010 along 37 cross-shore transects offshore from Cape Canaveral, Fla. The transects were spaced 500 meters (m) apart in the alongshore direction and each was approximately five kilometers (km) long in the cross-shore.

On August 02, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on South Hutchinson Beach, Florida. This dataset, SouthHutchinson_20220802.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and ...

On August 03, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210803.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On August 03, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on South Hutchinson Beach, Florida. This dataset, SouthHutchinson_20220803.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and ...

On August 04, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210804.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On August 05, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20210805.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On August 06, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20210806.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On August 07, 2018, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20180807.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On August 08, 2018, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20180808.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On August 10, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210810.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On August 11, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210811.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On August 20, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190820.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On August 21, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190821.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On August 27, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20190827.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On August 28, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20190828.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On July 12, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on South Hutchinson Beach, Florida. This dataset, SouthHutchinson_20220712.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and ...

On July 13, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210713.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On July 13, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on South Hutchinson Beach, Florida. This dataset, SouthHutchinson_20220713.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and ...

On July 14, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210714.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On July 15, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20210715.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On July 16, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190716.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On July 16, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20210716.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On July 17, 2018, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20180717.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On July 17, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190717.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On July 18, 2018, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20180718.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On July 19, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20220719.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On July 20, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210720.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On July 20, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20220720.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On July 21, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210721.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On July 21, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20220721.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On July 22, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20220722.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On July 23, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20190723.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On July 24, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20190724.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On July 25, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20190725.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On July 26, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20190726.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 12, 2018, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20180612.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 13, 2018, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20180613.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On June 14, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20220614.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 15, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210615.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On June 15, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20220615.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 16, 2020, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20200616.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 16, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210616.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On June 16, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20220616.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On June 17, 2020, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20200617.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 17, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20220617.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On June 18, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190618.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On June 19, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190619.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On June 22, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210622.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 22, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on South Hutchinson Beach, Florida. This dataset, SouthHutchinson_20220622.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and ...

On June 23, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210623.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 23, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on South Hutchinson Beach, Florida. This dataset, SouthHutchinson_20220623.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and ...

On June 24, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20210624.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On June 24, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on South Hutchinson Beach, Florida. This dataset, SouthHutchinson_20220624.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and ...

On June 25, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20190625.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 25, 2020, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20200625.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On June 25, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20210625.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On June 26, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20190626.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 26, 2020, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20200626.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On June 27, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20190627.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On June 28, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20190628.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On May 08, 2018, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20180508.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On May 09, 2018, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20180509.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On May 18, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210518.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On May 19, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210519.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On May 19, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on South Hutchinson Beach, Florida. This dataset, SouthHutchinson_20220519.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and ...

On May 20, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20190520.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On May 20, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20210520.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On May 20, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on South Hutchinson Beach, Florida. This dataset, SouthHutchinson_20220520.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and ...

On May 21, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20190521.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On May 21, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20210521.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On May 22, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20190522.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On May 23, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20190523.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On May 24, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20220524.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On May 25, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210525.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On May 25, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20220525.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown ...

On May 26, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210526.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On May 26, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20220526.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On May 27, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Juno Beach, Florida. This dataset, Juno_20220527.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and ...

On May 30, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190530.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On May 31, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190531.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; ...

On September 01, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on South Hutchinson Beach, Florida. This dataset, SouthHutchinson_20220901.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson ...

On September 08, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210908.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, ...

On September 09, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210909.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, ...

On September 10, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190910.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, ...

On September 11, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190911.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset contains information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 100-meter (m) section of the Puerto Rico coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are ...

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Gulf of Mexico coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to ...

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Mid-Atlantic coast for category 1-4 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-4 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to ...

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Southeast Atlantic coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are ...

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Mid-Atlantic coast for category 1-4 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-4 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to ...

This dataset contains information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Gulf of Mexico coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to ...

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave propagation equations to predict flow, sediment transport, and bottom changes for varying spectral wave and flow boundary conditions (Roelvink and others, 2009 ). The XBeach model setup requires the input of a merged topographic and bathymetric DEM, and inputs ...

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave propagation equations to predict flow, sediment transport, and bottom changes for varying spectral wave and flow boundary conditions (Roelvink and others, 2009 ). The XBeach model setup requires the input of a merged topographic and bathymetric DEM, and inputs ...

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave propagation equations to predict flow, sediment transport, and bottom changes for varying spectral wave and flow boundary conditions (Roelvink and others, 2009 ). The XBeach model setup requires the input of a merged topographic and bathymetric DEM, and inputs ...

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave propagation equations to predict flow, sediment transport, and bottom changes for varying spectral wave and flow boundary conditions (Roelvink and others, 2009 ). The XBeach model setup requires the input of a merged topographic and bathymetric DEM, and inputs ...

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave propagation equations to predict flow, sediment transport, and bottom changes for varying spectral wave and flow boundary conditions (Roelvink and others, 2009 ). The XBeach model setup requires the input of a merged topographic and bathymetric DEM, and inputs ...

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave propagation equations to predict flow, sediment transport, and bottom changes for varying spectral wave and flow boundary conditions (Roelvink and others, 2009 ). The XBeach model setup requires the input of a merged topographic and bathymetric DEM, and inputs ...

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave propagation equations to predict flow, sediment transport, and bottom changes for varying spectral wave and flow boundary conditions (Roelvink and others, 2009 ). The XBeach model setup requires the input of a merged topographic and bathymetric DEM, and inputs ...

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave propagation equations to predict flow, sediment transport, and bottom changes for varying spectral wave and flow boundary conditions (Roelvink and others, 2009 ). The XBeach model setup requires the input of a merged topographic and bathymetric DEM, and inputs ...

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave propagation equations to predict flow, sediment transport, and bottom changes for varying spectral wave and flow boundary conditions (Roelvink and others, 2009 ). The XBeach model setup requires the input of a merged topographic and bathymetric DEM, and inputs ...

The numerical model XBeach (version 4937) was used to investigate how different storm scenarios impact the sediment berm constructed offshore of the Chandeleur Islands and adjacent areas. The XBeach model solves coupled 2-dimensional, horizontal wave propagation equations to predict flow, sediment transport, and bottom changes for varying spectral wave and flow boundary conditions (Roelvink and others, 2009 ). The XBeach model setup requires the input of a merged topographic and bathymetric DEM, and inputs ...

This dataset defines hurricane-induced coastal erosion hazards for the Delaware, Maryland, New Jersey, New York, and Virginia coastline. The analysis was based on a storm-impact scaling model that used observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast would respond to the direct landfall of Hurricane Sandy in October 2012. Hurricane-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

Using the Delft3D 4 Suite (Lesser and others, 2004), sediment transport and morphologic change was simulated at Little Dauphin Island, Alabama (AL) for 5-year simulations of restoration alternatives as described in Passeri and others (2025). The two-dimensional Delft3D model can be applied to coastal systems to solve for time-dependent bed level elevations. The Delft3D model setup requires the input of bathymetric elevations at each grid cell. Model inputs and outputs in the form of elevation at each grid ...

Using the Delft3D 4 Suite (Lesser and others, 2004), sediment transport and morphologic change was simulated at Little Dauphin Island, Alabama (AL) for 5-year simulations of restoration alternatives as described in Passeri and others (2025). The two-dimensional Delft3D model can be applied to coastal systems to solve for time-dependent bed level elevations. The Delft3D model setup requires the input of bathymetric elevations at each grid cell. Model inputs and outputs in the form of elevation at each grid ...

Using the Delft3D 4 Suite (Lesser and others, 2004), sediment transport and morphologic change was simulated at Little Dauphin Island, Alabama (AL) for 5-year simulations of restoration alternatives as described in Passeri and others (2025). The two-dimensional Delft3D model can be applied to coastal systems to solve for time-dependent bed level elevations. The Delft3D model setup requires the input of bathymetric elevations at each grid cell. Model inputs and outputs in the form of elevation at each grid ...

Using the Delft3D 4 Suite (Lesser and others, 2004), sediment transport and morphologic change was simulated at Little Dauphin Island, Alabama (AL) for 5-year simulations of restoration alternatives as described in Passeri and others (2025). The two-dimensional Delft3D model can be applied to coastal systems to solve for time-dependent bed level elevations. The Delft3D model setup requires the input of bathymetric elevations at each grid cell. Model inputs and outputs in the form of elevation at each grid ...

Using the Delft3D 4 Suite (Lesser and others, 2004), sediment transport and morphologic change was simulated at Little Dauphin Island, Alabama (AL) for 5-year simulations of restoration alternatives as described in Passeri and others (2025). The two-dimensional Delft3D model can be applied to coastal systems to solve for time-dependent bed level elevations. The Delft3D model setup requires the input of bathymetric elevations at each grid cell. Model inputs and outputs in the form of elevation at each grid ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Little Dauphin Island, Alabama (AL) under different storm scenarios and restoration alternatives as described in Passeri and others (2025). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent elevations (topography and bathymetry). The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

The U.S. Geological Survey has developed a method for estimating the mobility and potential alongshore transport of heavier-than-water sand and oil agglomerates (tarballs or surface residual balls, SRBs). During the Deepwater Horizon spill, some oil that reached the surf zone of the northern Gulf of Mexico mixed with suspended sediment and sank to form sub-tidal mats. If not removed, these mats can break apart to form SRBs and subsequently re-oil the beach. A method was developed for estimating SRB ...

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Northeast Atlantic coast for category 1-4 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-4 hurricanes. Hurricane-induced water levels, due to both surge and waves, are ...

This data set contains information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the United States coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The numerical model Delft3D (developed by Deltares) was developed to evaluate the potential effects of proposed navigation channel deepening and widening in Mobile Harbor, Alabama (AL). The Delft3D model setup requires the input of a merged topographic and bathymetric elevations, a wave climate based on significant wave heights, peak wave period and mean wave direction, and a tidal-time series. The model was validated by comparing model outputs from deterministic runs with observations of water levels and ...

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

The model output of bathymetry and topography values resulting from a deterministic simulation at Dauphin Island, Alabama, as described in USGS Open-File Report 2019–1139 (https://doi.org/10.3133/ofr20191139), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry refer to Mickey and others (2020).

The model input for the bathymetry and topography values resulting from a deterministic simulation at Dauphin Island, Alabama, as described in U.S. Geological Survey (USGS) Open-File Report 2019-1139 (https://doi.org/10.3133/ofr20191139), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry refer to Mickey and others (2020).

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

The model input and output of topography and bathymetry values resulting from forecast simulations of coupled modeling scenarios occurring between 2015 and 2025 at Dauphin Island, Alabama, and described in U.S. Geological Survey (USGS) Open-File Report 2020–1001 (https://doi.org/10.3133/ofr20201001), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Mickey and others (2020).

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

The effects of interior headland restoration on estuarine sediment transport processes are assessed through process-based numerical modeling. Three proposed interior headland restoration scenarios in the Grand Bay estuary (Mississippi/Alabama) are modeled using Delft3D (developed by Deltares) to understand impacts on suspended sediment concentrations, bed level morphology and sediment fluxes under present-day conditions and a sea level rise of 0.5 meters (m). Delft3D model output of suspended sediment ...

The effects of interior headland restoration on estuarine sediment transport processes are assessed through process-based numerical modeling. Three proposed interior headland restoration scenarios in the Grand Bay estuary (Mississippi/Alabama) are modeled using Delft3D (developed by Deltares) to understand impacts on suspended sediment concentrations, bed level morphology and sediment fluxes under present-day conditions and a sea level rise of 0.5 meters (m). Delft3D model output of suspended sediment ...

The effects of interior headland restoration on estuarine sediment transport processes are assessed through process-based numerical modeling. Three proposed interior headland restoration scenarios in the Grand Bay estuary (Mississippi/Alabama) are modeled using Delft3D (developed by Deltares) to understand impacts on suspended sediment concentrations, bed level morphology and sediment fluxes under present-day conditions and a sea level rise of 0.5 meters (m). Delft3D model output of suspended sediment ...

The effects of interior headland restoration on estuarine sediment transport processes are assessed through process-based numerical modeling. Three proposed interior headland restoration scenarios in the Grand Bay estuary (Mississippi/Alabama) are modeled using Delft3D (developed by Deltares) to understand impacts on suspended sediment concentrations, bed level morphology and sediment fluxes under present-day conditions and a sea level rise of 0.5 meters (m). Delft3D model output of suspended sediment ...

The effects of interior headland restoration on estuarine sediment transport processes are assessed through process-based numerical modeling. Three proposed interior headland restoration scenarios in the Grand Bay estuary (Mississippi/Alabama) are modeled using Delft3D (developed by Deltares to understand impacts on suspended sediment concentrations, bed level morphology and sediment fluxes under present-day conditions and a sea level rise of 0.5 meters (m). Delft3D model output of suspended sediment ...

The effects of interior headland restoration on estuarine sediment transport processes are assessed through process-based numerical modeling. Three proposed interior headland restoration scenarios in the Grand Bay estuary (Mississippi/Alabama) are modeled using Delft3D (developed by Deltares) to understand impacts on suspended sediment concentrations, bed level morphology and sediment fluxes under present-day conditions and a sea level rise of 0.5 meters (m). Delft3D model output of suspended sediment ...

The effects of interior headland restoration on estuarine sediment transport processes are assessed through process-based numerical modeling. Three proposed interior headland restoration scenarios in the Grand Bay estuary (Mississippi/Alabama) are modeled using Delft3D (developed by Deltares) to understand impacts on suspended sediment concentrations, bed level morphology and sediment fluxes under present-day conditions and a sea level rise of 0.5 meters (m). Delft3D model output of suspended sediment ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 ...

An Ellipsoidally Referenced Survey (ERS) using two Teledyne Reson SeaBat T50-P multibeam echosounders, in dual-head configuration, was conducted by the U.S Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) nearshore Madeira Beach, Florida February 13-17, 2017. This dataset, Madeira_Beach_2017_MBES_1m_xyz.zip, includes the processed elevation point data (x,y,z), as derived from a 1-meter (m) bathymetric grid.

In February 2017, the United States Geological Survey Saint Petersburg Coastal and Marine Science Center (USGS SPCMSC) conducted multibeam and single-beam bathymetric surveys of the nearshore waters off Madeira Beach, Florida. These data were collected as part of a regional study designed to better understand coastal processes on barrier islands and sandy beaches. Results from this study will be incorporated with observations from other regional studies in order to validate operational water level and ...

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted nearshore geophysical surveys around the northern Chandeleur Islands, Louisiana, in July and August of 2013. The objective of the study is to better understand barrier-island geomorphic evolution, particularly storm-related depositional and erosional processes that shape the islands over annual to interannual timescales (1‒5 years). ...

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted nearshore geophysical surveys around the northern Chandeleur Islands, Louisiana, in July and August of 2013. The objective of the study is to better understand barrier-island geomorphic evolution, particularly storm-related depositional and erosional processes that shape the islands over annual to interannual timescales (1‒5 years). ...

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted nearshore geophysical surveys around the northern Chandeleur Islands, Louisiana, in July and August of 2013. The objective of the study is to better understand barrier-island geomorphic evolution, particularly storm-related depositional and erosional processes that shape the islands over annual to interannual timescales (1‒5 years). ...

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted nearshore geophysical surveys around the northern Chandeleur Islands, Louisiana, in July and August of 2013. The objective of the study is to better understand barrier-island geomorphic evolution, particularly storm-related depositional and erosional processes that shape the islands over annual to interannual timescales (1‒5 years). ...

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted nearshore geophysical surveys around the northern Chandeleur Islands, Louisiana, in July and August of 2013. The objective of the study is to better understand barrier-island geomorphic evolution, particularly storm-related depositional and erosional processes that shape the islands over annual to interannual timescales (1‒5 years). ...

This dataset contains information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-kilometer (km) section of the United States [Gulf of Mexico and Atlantic] coast for category 1-5 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-5 hurricanes. Hurricane-induced water levels, due ...