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Found 2964 dataset(s) matching "Pre".
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Post-fire vegetation status and condition have multiple implications. They are indicative of burn severity and the lasting impacts of fire the land; they also help inform post-fire debris flow...
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This dataset contains environmental and remote sensing data used to assess dune vegetation and morphology changes along Florida’s central east coast in response to Hurricane Ian (September 2022)...
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A raster identifying areas that met the criteria to be priority habitat for Greater sage-grouse before a fire disturbance occurred. This file is binary, a value of 1 indicates the pixel represents...
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These data were compiled for/to estimate predicted pre-fire burn severity for estimating hazard of post-fire debris flow for conservation populations of blue-lineage Colorado River Cutthroat...
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**THIS NEWER 2016 DIGITAL MAP REPLACES THE OLDER 2014 VERSION OF THE GRI GATE Geomorphological-GIS data. The Unpublished Digital Pre-Hurricane Sandy Geomorphological-GIS Map of the Sandy Hook...
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**THIS NEWER 2016 DIGITAL MAP REPLACES THE OLDER 2014 VERSION OF THE GRI GATE Geomorphological-GIS data. The Unpublished Digital Pre-Hurricane Sandy Geomorphological-GIS Map of the Jamaica Bay...
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**THIS NEWER 2016 DIGITAL MAP REPLACES THE OLDER 2014 VERSION OF THE GRI GATE Geomorphological-GIS data. The Unpublished Digital Pre-Hurricane Sandy Geomorphological-GIS Map of the Staten Island...
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**THIS NEWER 2016 DIGITAL MAP REPLACES THE OLDER 2014 VERSION OF THE GRI GATE Geomorphological-GIS data. The Unpublished Digital Pre-Hurricane Sandy Geomorphological-GIS Map of the Gateway...
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The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths, in response to storm events, with optimized endlap/sidelap and precise...
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**Overview** This is a pre-campaign instrument deployment. With it, we aim to upload data and test and verify the ingest pipeline.
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Student demographic and enrollment data by Pre-K for All Site from 2015-16 through 2017-18
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In 2024, the United States Geological Survey (USGS) compiled rock properties data from the USGS Core Research Center's (CRC) database for the Southwestern Wyoming Province and adjoining areas to...
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**Overview** This is a pre-campaign instrument deployment. With it, we aim to upload data and test/verify the ingest pipeline. **Data Quality** Adding signal-to-noise ratio can exclude data...
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The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths with optimized endlap/sidelap and precise position information to create...
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American Standard Code for Information Interchange XYZ and binary point-cloud data, as well as a digital elevation model for part of Barnegat Bay, New Jersey, pre-Hurricane Sandy (October 2012...
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**Overview** This instrument will be testing the data transfer process pre-before deploying the campaign. The netCDF L1 data file contains level 1 (L1) data from the ceilometer. **Data...
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Digital terrain models (DTM) generated from lidar data collected during multiple field campaigns in Central and South Ackerson Meadow, Yosemite National Park, California, June 2023. Small,...
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The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths with optimized endlap/sidelap and precise position information to create...
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Lidar point clouds (LPCs) were generated from lidar data collected during terrestrial laser scanning (TLS) surveys in June 2023 of western Central Ackerson Meadow. Data were collected between June...
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Digital terrain models (DTMs) were generated from lidar data collected during terrestrial laser scanning (TLS) surveys in June 2023 of western Central Ackerson Meadow. Data were collected between...
