The lifespans of salt marshes in Atlantic-facing Eastern Shore of Virginia are calculated based on estimated sediment supply and sea-level rise (SLR) predictions, following the methodology of Ganju and others (2020). The salt marsh delineations are from Ackerman and others (2023). The SLR predictions are local estimates corresponding to increases of 0.3, 0.5 and 1.0 meter in global mean sea level (GMSL) by 2100, as projected by Sweet and others (2022). This work has been a part of the USGS’s effort to expand the national assessment of coastal change hazards and forecast products to coastal wetlands. The aim is to equip federal, state and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. (The data release containing lifespan estimates for the Chesapeake Bay-facing portion of the Eastern Shore of Virginia is found here: https://doi.org/10.5066/P9FSPWSF.)

The lifespans of salt marshes in Connecticut are calculated based on estimated sediment supply and sea-level rise (SLR) predictions, following the methodology of Ganju and others (2020). The salt marsh delineations are from Ackerman and others (2023). The SLR predictions are local estimates corresponding to increases of 0.3, 0.5 and 1.0 meter in global mean sea level (GMSL) by 2100, as projected by Sweet and others (2022). This work has been a part of the USGS’s effort to expand the national assessment of coastal change hazards and forecast products to coastal wetlands. The aim is to equip federal, state and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. This project has been funded in part by the United States Environmental Protection Agency under assistance agreement DW-014-92531201-1 to N. Ganju.

This data release contains the estimated lifespans of salt marshes in E.B. Forsythe National Wildlife Refuge (EBFNWR) and Atlantic-facing New Jersey. The lifespans are calculated based on estimated sediment supply and sea-level rise (SLR) predictions, following the methodology of Ganju and others (2020). The salt marsh delineations are from Ackerman and others (2024) and Defne and Ganju (2016). The SLR predictions are local estimates corresponding to increases of 0.3, 0.5 and 1.0 meter in global mean sea level (GMSL) by 2100, as projected by Sweet and others (2022). This work has been a part of the USGS’s effort to expand the national assessment of coastal change hazards and forecast products to coastal wetlands. The aim is to equip federal, state and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. References: Ackerman, K.V., Defne, Z., and Ganju, N.K., 2024, Geospatial characterization of Atlantic-facing New Jersey salt marshes: U.S. Geological Survey data release, https://doi.org/10.5066/P1NN2QYM. Defne, Z., and Ganju, N.K. 2016, Conceptual salt marsh units for wetland synthesis: Edwin B. Forsythe National Wildlife Refuge, New Jersey: U.S. Geological Survey data release, https://doi.org/10.5066/F7QV3JPG. Ganju, N.K., Defne, Z., and Fagherazzi, S., 2020, Are elevation and open-water conversion of salt marshes connected?, Geophysical Research Letters, https://doi.org/10.1029/2019GL086703. Sweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean Projections and Extreme Water Level Probabilities Along U.S. Coastlines. NOAA Technical Report NOS 01. National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp. https://sealevel.globalchange.gov/internal_resources/756/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Little Diomede Island, Alaska. The TBDEM contains best available multi-source topographic and bathymetric elevation data collected between the years 2010 and 2021. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Elim, Alaska. The TBDEM contains best available multi-source topographic and bathymetric elevation data collected between the years 2015 and 2019. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Elim, Alaska. The TBDEM contains best available multi-source topographic and bathymetric elevation data collected between the years 2019 and 2021. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Golovin, Alaska. The TBDEM contains best available multi-source topographic and bathymetric elevation data collected between the years 2012 and 2024. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Shaktoolik, Alaska. The TBDEM contains best available multi-source topographic and bathymetric elevation data collected between the years 1900 and 2021. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Shaktoolik, Alaska. The TBDEM contains best available multi-source topographic and bathymetric elevation data collected between the years 1900 and 2022. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Teller, Brevig Mission, and Port Clarence, Alaska. The TBDEM contains best available multi-source topographic and bathymetric elevation data collected between the years 1900 to 2023. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Unalakleet, Alaska. The TBDEM contains best available multi-source topographic and bathymetric elevation data collected between the years 1900 and 2019. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Utqiaġvik, Alaska. The TBDEM contains best available (at the time of processing in 2023) multi-source topographic and bathymetric elevation data collected between the years 1945 and 2022. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains nearshore bathymetry measurements collected at Point Barrow, Alaska. The data were collected in July 2022 using a single beam echosounder and global navigation satellite system receiver and subsequently processed by the U.S. Geological Survey, Pacific Coastal and Marine Science Center. Results are provided in a comma-separated value format (csv).

This dataset contains nearshore bathymetry measurements collected at the entrance to Golovnin Lagoon, Alaska. The data were collected in September 2024 and subsequently processed by the U.S. Geological Survey, Pacific Coastal and Marine Science Center. Results are provided in a comma-separated value format (csv).

This dataset contains nearshore bathymetry measurements collected at the mouth of the Koyuk River in Alaska. The data were collected in June 2024 and subsequently processed by the U.S. Geological Survey, Pacific Coastal and Marine Science Center. Results are provided in a comma-separated value format (csv).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Kivalina, Alaska. The TBDEM contains best available (at the time of processing) multi-source topographic and bathymetric elevation data collected between the years 2011 and 2024. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Nelson Lagoon, Alaska. The TBDEM contains best available (at the time of processing) multi-source topographic and bathymetric elevation data collected between the years 1959 and 2024. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Nome, Alaska. The TBDEM contains best available (at the time of processing) multi-source topographic and bathymetric elevation data collected between the years 2008 and 2023. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains a 1-meter resolution, seamless topobathymetric digital elevation model (TBDEM) and associated spatial metadata for Wales, Alaska. The TBDEM contains best available (at the time of processing) multi-source topographic and bathymetric elevation data collected between the years 1950 and 2015. Processing was done by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) and results are provided as a Cloud Optimized GeoTIFF (COG).

This dataset contains nearshore and inland bathymetry near Kotzebue, Alaska. The data were collected on July 10, 2024, and subsequently processed by the U.S. Geological Survey, Pacific Coastal and Marine Science Center. Results are provided in a comma-separated value format (csv).