Baseline for the coast of Puerto Rico's main island generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023)

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States' coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Baseline, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, All tags... Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Puerto Rico, Puerto Rico Shoreline Change, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, United States, University of Puerto Rico, University of Puerto Rico Graduate School of Planning, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags

Puerto Rico shoreline change: A GIS compilation of shorelines, baselines, intersects, and change rates calculated using the digital shoreline analysis system version 5.1 (ver. 2.0, March 2023)

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...

Tags: Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, Coastal and Marine Geology Program, All tags... Culebra, DSAS, Digital Shoreline Analysis System, Historical Shorelines, Puerto Rico, Puerto Rico Shoreline Change, Shoreline intersects, Shorelines, Transect, U.S. Geological Survey, USGS, United States, University of Puerto Rico, University of Puerto Rico Graduate School of Planning, Vieques, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags

Baseline for the islands of of Vieques and Culebra, Puerto Rico, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Baseline, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, All tags... Coastal and Marine Geology Program, Culebra, DSAS, Digital Shoreline Analysis System, Puerto Rico, Puerto Rico Shoreline Change, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, United States, University of Puerto Rico, University of Puerto Rico Graduate School of Planning, Vieques, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags

Shorelines for Vieques, Culebra, and the main island of Puerto Rico from the 1900s to 2018 (ver. 2.0, March 2023)

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, Coastal and Marine Geology Program, All tags... Culebra, DSAS, Digital Shoreline Analysis System, FEMA, Federal Emergency Management Agency, HWL, High Water Line, Historical Shorelines, MHW, Mean High Water, NGS, NOAA, NOS, National Geodetic Survey, National Ocean Service, National Oceanic and Atmospheric Administration, PRDC, PRDRN, Puerto Rico, Puerto Rico Departamento de Carreteras, Puerto Rico Departamento de Recursos Naturales, Puerto Rico Shoreline Change, Shoreline intersects, Shorelines, Transect, U.S. Department of Agriculture - Soil Conservation Service, U.S. Geological Survey, US Army Corps of Engineers, USACE, USDA-SCS, USGS, United States, University of Puerto Rico, University of Puerto Rico Graduate School of Planning, Vieques, WDL, WHCMSC, Wet Dry Line, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags

Shoreline intersects for the coast of Puerto Rico's main island generated by the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023)

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, Coastal and Marine Geology Program, All tags... DSAS, Digital Shoreline Analysis System, Historical Shorelines, Puerto Rico, Puerto Rico Shoreline Change, Shoreline intersects, Shorelines, Transect, U.S. Geological Survey, USGS, United States, University of Puerto Rico, University of Puerto Rico Graduate School of Planning, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags

Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024 (ver. 5.0, May 2024)

These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory,...

Tags: Arizona, California, Colorado, Field Brome, Great Basin, All tags... Harmonized Landsat Sentinel, Idaho, Kansas, Montana, NDVI, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Poa secunda, South Dakota, Texas, Texas brome, United States, Utah, Washington, Wyoming, annual grass, annual herbaceous, cheatgrass, exotic, https://doi.org/10.5066/P1Y5TZBM, invasive species, medusahead, nonindigenous species, noxious, perennial grass, red brome, remote sensing, rye brome, sagebrush, soft brome, western United States, Fewer tags

Shoreline change rates for the coast of Puerto Rico's main island calculated using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023)

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, All tags... Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Erosion, Historical Shoreline, LRR, Linear Regression Rate, Long-term shoreline change rate, Puerto Rico, Puerto Rico Shoreline Change, Shoreline change rate, Shorelines, Short-term shoreline change rate, Transect, U.S. Geological Survey, USGS, United States, University of Puerto Rico, University of Puerto Rico Graduate School of Planning, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags

Shoreline change rates for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, All tags... Coastal and Marine Geology Program, Culebra, DSAS, Digital Shoreline Analysis System, Erosion, Historical Shoreline, LRR, Linear Regression Rate, Long-term shoreline change rate, Puerto Rico, Puerto Rico Shoreline Change, Shoreline change rate, Shorelines, Short-term shoreline change rate, Transect, U.S. Geological Survey, USGS, United States, University of Puerto Rico, University of Puerto Rico Graduate School of Planning, Vieques, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags

Shoreline intersects for the islands of Vieques and Culebra, Puerto Rico, calculated using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, Coastal and Marine Geology Program, All tags... Culebra, DSAS, Digital Shoreline Analysis System, Historical Shorelines, Puerto Rico, Puerto Rico Shoreline Change, Shoreline intersects, Shorelines, Transect, U.S. Geological Survey, USGS, United States, University of Puerto Rico, University of Puerto Rico Graduate School of Planning, Vieques, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags