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United States Geological Survey

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This layer represents Private Conservation Lands from the Protected Areas Database of the US (PADUS). Part of the GAP Analysis, PADUS is a geodatabase that illustrates and describes public land ownership, managment and consercationlands nationally. The lands included are assigned conservation measures that qualify thier intent to mangae lands for the presercation of biological diversity and to other natural, recreational, and cultural uses.
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The U.S. Geological Survey collected groundwater samples from 48 grid wells and 11 understanding wells screened in aquifers used for domestic supply in San Bernardino County, California, in 2018. The sites were sampled for the Mojave Basin (MOBS) Shallow Aquifer Study Unit of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. The MOBS study unit covered the Upper, Middle, and Lower Mojave River groundwater basins, El Mirage groundwater basin, and part of the Harper Valley groundwater basin [California Department of Water...
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This geodatabase contains the official boundary of the Southeast Aquatic Resource Partnership with State Boundaries. The boundary was originally developed by the United States Fish and Wildlife Service and was updated in 2020 to reflect revisions from the Southeast Aquatic Resource Partnership, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
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This shapefile is the official boundary of the Western Native Trout Initiative. The boundary was originally developed by the United States Fish and Wildlife Service and was updated in 2013 to reflect revisions from the Western Native Trout Initiative, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
ASTER is capable of collecting in-track stereo using nadir- and aft-looking near infrared cameras. Since 2001, these stereo pairs have been used to produce single-scene (60- x 60-kilomenter (km)) digital elevation models (DEM) having vertical (root-mean-squared-error) accuracies generally between 10- and 25-meters (m). The methodology used by Japan's Sensor Information Laboratory Corporation (SILC) to produce the ASTER GDEM involves automated processing of the entire ASTER Level-1A archive. Stereo-correlation is used to produce over one million individual scene-based ASTER DEMs, to which cloud masking is applied to remove cloudy pixels. All cloud-screened DEMS are stacked and residual bad values and outliers...
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