Data

This dataset contains Landsat-derived images of Evaporative Fraction (ETf), Reference Evapotranspiration (ETo), and Actual Evapotranspiration (ETa) over a portion of California’s Central Valley for 15 dates in 2016. Each of the 15 images used in this study had three corresponding Tif files representing ETf, ETo, and ETa. Data used in this project was sourced from Landsat 8 Surface...

This data release contains spatial data on the location, number, size and extent of energy-related surface disturbances on the Colorado Plateau of Utah, Colorado, and New Mexico as of 2016. The database includes: 1) polygons of oil and gas pads generated from automated and manual classification of aerial imagery, and 2) polylines of roads derived from the U.S. Census Bureau TIGER/Line...

We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands...

This data release publishes datasets of historical aerial photograph orthomosaics covering areas within and surrounding Lassen Volcanic National Park, California. The historical imagery provides a high-resolution, spatially contiguous record of the park’s landscape across six dates ranging from 1941-2004. A total of 990 hard-copy aerial photographs taken in 1941, 1952, 1966, 1973, 1998...

Socioeconomic impact estimates of community exposure to shoreline change hazards are presented for communities along the coast of California, U.S. The provided data were generated using the Hazard Exposure Reporting and Analytics (HERA) web application (www.usgs.gov/apps/hera/). HERA uses geospatial analysis of socioeconomic indicators (population, economic, land cover, and...

We developed this spatial database of historic and current floodplains to analyze trends in vegetation conditions, identify areas more at risk of degradation, and assess the relationship between riparian vegetation dynamics and climate conditions.Our study area is the riparian areas along the San Carlos River and Gila River within the San Carlos Apache Reservation and the Upper Gila...

These datasets support the conclusions in the journal article entitled "Current and future sinkhole susceptibility in karst and pseudokarst areas of the conterminous United States" as described in the abstract below: Sinkholes in karst and pseudokarst regions threaten infrastructure, property, and lives. We mapped closed depressions in karst and pseudokarst regions of the conterminous...

Code for implementation of the Dynamic Surface Water Extent algorithm in Google Earth Engine. Multiple scripts allow the creation of single-scene or composited Dynamic Surface Water Extent (DSWE) images from Landsat and MODIS data. All code is written for use in the JavaScript API.

These datasets support the conclusions in the journal article entitled "Modeling non-structural strategies to reduce pedestrian evacuation times for mitigating local tsunami threats in Guam" as described in the abstract below: Reducing the potential for loss of life from local tsunamis is challenging for emergency managers given the need for self-protective behavior within brief windows...

We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The vegetation is characterized using a series of remote sensing vegetation indices...

This data release includes 9 GeoTIFF rasters that represent percent cover of intertidal microbial biofilm on the mudflats of South San Francisco Bay, CA between June 2020, and June 2022. Rasters follow the naming scheme biofilmPC_YYYYMMDD_10m.tif, where “biofilmPC” describes the dataset, YYYYMMDD is the date of the image, and 10m is the spatial resolution of the raster. Raster data...

This data release contains a shapefile of riparian vegetation communities attributed with information on trends in satellite-estimates of vegetation productivity for the period from 2000-2020. Cloud-masked Landsat data were processed from 2000 to 2020 to generate a 21-year growing season (June, July, and August) time series combining data from Landsat 5 (2000-2011), Landsat 7 (2012), and...