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Data

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Landuse / Landcover Map of Los Planes Watershed, Baja California Sur, Mexico

This landuse / landcover (LULC) map displays a basic depiction of the Los Planes watershed in Baja California Sur, Mexico. This simplified, 7-class LULC map displays classes that are useful for hydrologic modeling and broad vegetation mapping in the region. It was created from analysis of six Sentinel-2 satellite images and other existing geospatial datasets. These satellite images are provided at

Intertidal biofilm presence, quantity, nutritional quality, and composition maps derived from AVIRIS-Next Generation 3.7-meter airborne imagery, South San Francisco Bay, California

Microbial biofilm communities are composed of fungi, bacteria, and phytoplankton taxonomic groups (e.g., cyanobacteria, diatoms, and chlorophytes), which inhabit the surface of intertidal mudflats. Such biofilms have critical roles in shorebird diets, mudflat stabilization, primary productivity, and carbon storage. These raster datasets represent the presence, nutritional quality, quantity, pigmen

Classification of crop types in central California from 2005 - 2020

This dataset is support materials for the publication "Crop type classification, trends, and patterns of central California agricultural fields from 2005 – 2020". This data release is comprised of two child datasets. The first dataset, 'Labeled_CropType_Points', is a shapefile that consists of randomly selected point locations in which crop types were verified using high resolution imagery for eac

Monthly Ensemble Mean Evapotranspiration (EMET) Product for the Los Planes basin in Baja California Sur, Mexico from January 2006 through December 2021: U.S. Geological Survey Data Release

Estimates of actual evapotranspiration (ETa) are valuable for effective monitoring and management of water resources. In areas that lack a ground-based monitoring network, remote sensing allows for accurate and consistent estimates of ETa across a large spatial extent – though each algorithm has limitations (i.e., ground-based validation, temporal consistency, spatial resolution). We developed an

Data Supporting Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA

This data release documents the steps performed to create classified cropland fallow maps for the Northern Great Plains region of the United States from the years 2010 to 2019. The data release consists of the following: (i) an XML metadata file, (ii) a table of reference data (iii) two decision tree models, and (iv) 10 single band GeoTIFFs. The XML file named ‘Metadata.xml’ describes steps that w

Projected future groundwater balance for California Central Coast under different scenarios of land-use and climate change

Tabular data output from a series of groundwater modeling simulations for five counties along the Central Coast of California, USA. We used a spatially explicit state-and-transition simulation model with stocks and flows that integrates climate, land-use change, human water use, and groundwater gain-loss to examine the impact of future climate and land use change on groundwater balance and water d

Community Exposure in U.S. American Samoa to Future Coastal Flooding Hazards, reference year 2020

The data set contains information on potential population, economic, land cover, and infrastructure exposure to coastal hazards for coastal communities of the territory of American Samoa, USA. The type of information includes U.S. Census Bureau data on the number of residents, land cover estimates from the National Oceanic and Atmospheric Administration (NOAA), and infrastructure data on roads an

Community Exposure in U.S. Hawaiian Islands to Future Coastal Flooding Hazards, reference year 2020

Socioeconomic impact estimates of community exposure to coastal flooding hazards are presented for communities along the coast of the U.S. Hawaiian Islands. 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 infrastructu

Community Exposure in U.S. Northern Mariana Islands to Future Coastal Flooding Hazards, reference year 2020

Socioeconomic impact estimates of community exposure to coastal flooding hazards are presented for communities along the coast of the U.S. Northern Mariana Islands. 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 infr

Community Exposure in U.S. Guam to Future Coastal Flooding Hazards, reference year 2020

Socioeconomic impact estimates of community exposure to coastal flooding hazards are presented for communities along the coast of U.S. Guam. 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 infrastructure) in combinati

Data Release of Final Report to Bureau of Reclamation: Case Study Using KINEROS Model to Assess Potential Hydrologic and Geomorphic Impacts of Installing Gabions in a Developing Subwatershed near Buckeye, Arizona, USA

This data release provides results from a watershed modelling effort to depict the use of natural infrastructure in dryland streams (NIDS), i.e., gabions, as a low-tech and low-cost, nature-based solution for increased water availability in the Buckeye area, west of the White Tank mountains and northwest of Phoenix, AZ, USA. Our goal was to identify impacts of current management and hypothetical i

Crop Specific Landsat Derived Reference Evapotranspiration, Evaporative Fraction, and Actual Evapotranspiration for 2016 in the California Central Valley

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 Reflectance Tier
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