These metadata describe bathymetric data collected during a September 2021 SWATHPlus survey of Whiskeytown Lake, California. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) during fieldwork activity number 2018-686-FA. The bathymetric data are provided as a GeoTIFF image.

These metadata describe bathymetric data collected during a May 2019 SWATHPlus survey of Whiskeytown Lake, California. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) during fieldwork activity number 2018-686-FA. The bathymetric data are provided as a GeoTIFF image.

These metadata describe bathymetric data collected during a December 2018 SWATHPlus survey of Whiskeytown Lake, California. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) during fieldwork activity number 2018-686-FA. The bathymetric data are provided as a GeoTIFF image.

These metadata describe high-resolution chirp sub-bottom data collected in May 2019 in Whiskeytown Lake, California. Data were collected and processed by the the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) with fieldwork activity number 2018-686-FA. The chirp sub-bottom data are provided in SEG-Y format.

In February 2016 the U.S. Geological Survey, Pacific Coastal and Marine Science Center in cooperation with North Carolina State University and the National Park Service collected multibeam bathymetry and acoustic-backscatter data in Lake Crescent located in Olympic National Park, Washington. Data were collected using a Reson 7111 multibeam echosounder pole-mounted to the 36-foot USGS R/V Parke Snavely. These metadata describe the multibeam bathymetry raster data file that is included in "LakeCrescent_bathy ...

In February 2016 the U.S. Geological Survey, Pacific Coastal and Marine Science Center in cooperation with North Carolina State University and the National Park Service collected multibeam bathymetry and acoustic backscatter data in Lake Crescent located in Olympic National Park, Washington. Data were collected using a Reson 7111 multibeam echosounder pole-mounted to the 36-foot USGS R/V Parke Snavely. These metadata describe the multibeam acoustic-backscatter data file that is included in "LakeCrescent ...

Underwater images were collected near Dollar Point, Lake Tahoe, CA, using a recently developed towed-surface vehicle with multiple downward-looking underwater cameras. The images are organized in zipped files grouped by survey line. The SQUID-5 system records images as TIFF (.tif) format to maintain the highest resolution and bit depth. Each image includes EXIF metadata, containing GNSS date, time, and latitude and longitude of the GNSS antenna mounted on the towed surface vehicle, copyright, keywords, and ...

This text file (2021-607-FA_Image_Locations.txt) provides the GNSS antenna location for underwater images collected near Dollar Point, Lake Tahoe, CA, using a recently developed towed-surface vehicle with multiple downward-looking underwater cameras. The GNSS antenna location for the time of each image capture is presented with greater precision than is stored in the individual image’s EXIF header due to decimal place limitations of the EXIF format.

Three-dimensional point clouds (LAZ format) were developed from underwater images collected near Dollar Point in Lake Tahoe, California, and processed using Structure-from-Motion (SfM) photogrammetry techniques. Point cloud data include x,y,z positions, RGB colors, Metashape-computed confidence values, and a two-class classification ('unclassified' and 'high noise') derived from the confidence values. LAZ is an open format developed for the efficient use of point cloud lidar data. A description of the LAZ ...

Lakebed orthoimagery was developed from underwater images collected near Dollar Point in Lake Tahoe, California, and processed using Structure-from-Motion (SfM) photogrammetry techniques. The orthoimages were developed using both image-mosaic and image-averaging methods, which were then output as 5-mm resolution rasters. In general, the "Mosaic" product is somewhat sharper in resolution but will include some distinct seam lines and noticeable differences in image quality across the image. The "Average" ...

Underwater images collected near Dollar Point in Lake Tahoe, California, were processed using Structure-from-Motion (SfM) photogrammetry techniques into a classified 3D point cloud. The DEM was derived in Metashape (ver. 1.6.4) from the point cloud, but it excludes the 'high noise' class. The DEM data were output as a geoTIFF raster at 25-mm resolution.

This portion of the USGS data release presents acoustic-backscatter data collected during surveys performed in Floras Lake, Oregon in June 2018 (USGS Field Activity Number 2018-636-FA). Lake bed backscatter data were collected using a personal watercraft (PWC) equipped with a sidescan sonar system and global navigation satellite system (GNSS) receivers. The sonar system consisted of a Tritech Starfish 990F with a 1-MHz transducer and a 0.3-degree horizontal beam width. Output from the GNSS receivers and ...

Chirp sub-bottom data were collected by the U.S. Geological Survey in August of 2019 in Lake Crescent, Washington.

Coast Train is a library of images of coastal environments, annotations, and corresponding thematic label masks (or ‘label images’) collated for the purposes of training and evaluating machine learning (ML), deep learning, and other models for image segmentation. It includes image sets from both geospatial satellite, aerial, and UAV imagery and orthomosaics, as well as non-geospatial oblique and nadir imagery. Images include a diverse range of coastal environments from the U.S. Pacific, Gulf of Mexico, ...

More than 1,000 line-km of sub-bottom chirp data were collected with an Edgetech 0.5-16 kHz subscan system by Scripps Institution of Oceanography between 2006 and 2008 in the Salton Sea, California, with assistance from the U.S. Geological Survey (USGS). Data were subsequently donated by Scripps to the USGS for public release (USGS field activity identifier 2006-603-DD).