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Found 363 dataset(s) matching "normalized difference vegetation index (NDVI)".
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Interpretations of post-fire condition and rates of vegetation recovery can influence management priorities, actions, and perception of latent risks from landslides and floods. In this study, we...
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The overarching effects and benefits of land management decisions, such as through watershed restoration, are often not fully understood due to a lacking control within an experimental design....
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Evaluation of historical water use in the Upper Rio Grande Basin (URGB) using Landsat-derived actual evapotranspiration (ETa) from 1986 to 2015 is presented here as a first of its kind study...
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Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage...
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Defining site potential for an area establishes its possible long-term vegetation growth productivity in a relatively undisturbed state, providing a realistic reference point for ecosystem...
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This data set contains monthly average snow-free surface shortwave albedo calculated for the period 1982-1998 and estimates of background soil/litter reflectances in the visible (0.4-0.7 μm) and...
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This file includes satellite sensor-derived data on evapotranspiration, vegetation response (normalized difference vegetation index), and snow and weather-station data used to derive weekly...
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This data release supports U.S. Geological Survey Scientific Investigations Report 2023-5106, Groundwater Discharge by Evapotranspiration from the Amargosa Wild and Scenic River and Contributing...
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This data set provides median cover management factors (C-Factor) for agriculture, pasture, and barren land cover classes for each USDA Crop Management Zone. The C-Factors were calculated based...
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This vector dataset consists of 2 polygon shapefiles representing the groundwater discharge areas (GDA) and evapotranspiration (ET) units for the Amargosa Wild and Scenic River and contributing...
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing...
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing...
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing...
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Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage...
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These data are aerial image-derived, classification maps of tamarisk (Tamarisk spp.) in the riparian zone of the Colorado River from Glen Canyon Dam to Separation Canyon, a total river distance of...
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Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua 3-Day 1km Composite ocean color and sst calculation by SeaDas; Regridded to Mercator lon/lat projection. Processed at the University of...
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Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua 1-Day 1 km ocean color and sst calculation by SeaDas; Regridded to Mercator lon/lat projection. Processed at the University of Delaware....
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Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua 8-Day 1 km Composite ocean color and sst calculation by SeaDas; Regridded to Mercator lon/lat projection. Processed at the University of...
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This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat...
