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Found 1287 dataset(s) matching "Refuge".
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This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped...
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This portion of the data release presents the JPG aerial imagery collected from a helicopter with a hand-held digital camera on 2024-08-15. The raw imagery used to create the DSM was acquired...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species....
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Training points collected in the field between 2012 and 2013 were grouped into 18 classes: Forested Burn (66), Foothill Woodland Steppe Transition (73), Greasewood Flat (73), Greasewood Steppe...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species....
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This portion of the data release presents digital surface models (DSMs) for 10 islands in the OCNWRC. The DSM has a resolution of 50 centimeters per pixel and was derived from...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species....
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species....
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species....
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species....
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This portion of the data release presents a topographic point cloud for 10 islands in the OCNWRC, OR. The point cloud was derived from structure-from-motion (SfM) processing of aerial imagery...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species....
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This USGS Data Release represents geospatial and tabular data for a study investigating linkages between local terrain and wetland hydroperiod. The data release was produced in compliance with the...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species....
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This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped...
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This data release includes a table of concentrations (Sr, U) and radiogenic-isotope compositions (87Sr/86Sr, 234U/238U) for samples of modern lake water as well as a table of isotopic compositions...
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This data release presents data that were collected as part of a larger effort to refine knowledge pertaining to the origin, composition, and seasonality of dissolved organic matter in lakes. This...
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To relate water levels in our study wetlands to temperature, precipitation, wetland water depth, and amphibian calling activity, we installed one pressure logger in the deepest spot we could find...
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Training points collected in the field between 2012 and 2013 were grouped into 18 classes: Forested Burn (66), Foothill Woodland Steppe Transition (73), Greasewood Flat (73), Greasewood Steppe...
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This tabular data set contains estimates of total phosphorus concentration and mass, as well as measurements of water discharge and volume at a diked wetland pool (Pool 2B) that was reconnected to...
