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Federal
EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for Alaska (1981–2010)
U.S. Environmental Protection Agency —
This annual data was accessed from the PRISM project website (https://prism.oregonstate.edu/normals_other/public/alaska/grids/) and has a spatial resolution of 30... -
Federal
Sorption of heavy metals by hydrochar
U.S. Environmental Protection Agency —
Heavy metal sorption data. Material characterization using scanning electron microscopy (SEM, Hitachi SU8020, Japan) and energy spectrometry (EDS), Fourier transform... -
Federal
Improved mapping of coastal salt marsh habitat change at Barnegat Bay (NJ, USA) using object-based image analysis of high-resolution aerial imagery_data
U.S. Environmental Protection Agency —
Data for the classification of coastal land-cover of Barnegat Bay (Fig. 1) were downloaded from the USGS Earth Resources Observation and Science (EROS) Center via the... -
Federal
NLCD 2016 Land Cover Reference Data, Conterminous United States NGDA
U.S. Environmental Protection Agency —
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the... -
Federal
National seagrass
U.S. Environmental Protection Agency —
Using WorldView-2 and WorldView-3 imagery to classify seagrass in coastal ecosystems. This dataset is associated with the following publication: Coffer, M., D.... -
Federal
EnviroAtlas -- Cyanobacteria Index for the Continental United States
U.S. Environmental Protection Agency —
This dataset shows the temporal frequency and spatial extent of cyanobacteria cells in large, freshwater lakes and reservoirs across the continental United States... -
Federal
EnviroAtlas - Average Annual Sediment Delivery Ratio (Scaled) - Existing Land Use / Land Cover Scenario for the Conterminous United States
U.S. Environmental Protection Agency —
This EnviroAtlas national dataset shows the average sediment delivery ratio (SDR) - the percentage of soil eroding from a pixel that is transported to a downstream... -
Federal
EnviroAtlas -- Los Angeles County, CA -- Meter-Scale Urban Land Cover (MULC) Data (2016)
U.S. Environmental Protection Agency —
The Los Angeles County, CA Meter Urban Land Cover (MULC) dataset was generated from sub-meter image pixel resolution data created by the University of Vermont Spatial... -
Federal
High-Resolution (1 Meter) Land Cover for 98 counties in West Virginia (2020), Virginia (2021), and Pennsylvania (2022); providing complete coverage for EPA Region 3 when combined with 2021 - 2022 Chesapeake Bay Program Land Use / Land Cover data.
U.S. Environmental Protection Agency —
This map shows high-resolution (1 meter) land cover in the EPA Region 3, covering the parts of West Virginia, Virginia, and Pennsylvania outside of the Chesapeake Bay... -
Federal
EnviroAtlas -- Tacoma, WA -- Meter-Scale Urban Land Cover (MULC) Data (2011)
U.S. Environmental Protection Agency —
The Tacoma, WA Meter Urban Land Cover (MULC) dataset was generated from 1-meter image pixel resolution data sourced from 2011 USDA National Agricultural Imagery... -
Federal
AllMissions_SO_CTD
U.S. Environmental Protection Agency —
Data from underwater oil detection technologies are provided (1) A Remote Environmental Monitoring UnitS (REMUS-600) AUV equipped with fluorescence and backscatter... -
Federal
EnviroAtlas - Average annual soil loss and sediment yield to waterbodies by 12-digit HUC for the Conterminous United States
U.S. Environmental Protection Agency —
This EnviroAtlas national dataset shows the average annual soil loss and sediment yield to waterbodies by 12-digit HUC subwatershed for the conterminous United States... -
Federal
2018_extent_CI_data
U.S. Environmental Protection Agency —
Full resolution (300m), weekly MERIS data were obtained over the contiguous United States for 2008 through 2011. Seven day composite images were created by retaining... -
Federal
EnviroAtlas - Average Annual Soil Loss (Scaled) - Natural Vegetation Removal Scenario for the Conterminous United States
U.S. Environmental Protection Agency —
This EnviroAtlas national dataset shows the average annual soil loss from each pixel in metric tons per hectare*10,000 for the conterminous United States for 2011... -
Federal
US EPA EnviroAtlas Meter-Scale Urban Land Cover (MULC) Data Characteristics
U.S. Environmental Protection Agency —
Meter-scale Urban Land Cover (MULC), a unique, high resolution (one meter2 per pixel) land cover dataset, has been developed for 30 US communities for the United... -
Federal
Thematic accuracy assessment of the National Land Cover Database (NLCD2021) for the conterminous United States
U.S. Environmental Protection Agency —
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has now developed and released seven National Land Cover Database (NLCD) products:... -
Federal
Willis PM 10-2.5 Precision Results, pdf has summary table and SEM images
U.S. Environmental Protection Agency —
Precision data from the SEM and SEM images from the samples. This dataset is associated with the following publication: Peters, T., E. Sawvel, R. Willis, R. West, and... -
Federal
EnviroAtlas - Average Annual Sediment Delivery Ratio (Scaled) - Natural Vegetation Removal Scenario for the Conterminous United States
U.S. Environmental Protection Agency —
This EnviroAtlas national dataset shows the average sediment delivery ratio (SDR) - the percentage of soil eroding from a pixel that is transported to a downstream... -
Federal
EnviroAtlas -- Salt Lake City, UT -- Meter-Scale Urban Land Cover (MULC) Data (2014)
U.S. Environmental Protection Agency —
These Salt Lake City, Utah MULC data were created using 2014, leaf-on United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP)... -
Federal
Puerto Rico Above Ground Biomass Map, 2000
U.S. Environmental Protection Agency —
This image dataset details the U.S. Commonwealth of Puerto Rico above-ground forest biomass (AGB) (baseline 2000) developed by the United States (US) Environmental...