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The U.S. Great Plains is known for frequent hazardous convective weather and climate extremes. Across this region, climate change is expected to cause more severe droughts, more intense heavy rainfall events, and subsequently more flooding episodes. These potential changes in climate will adversely affect habitats, ecosystems, and landscapes as well as the fish and wildlife they support. Better understanding and simulation of regional precipitation can help natural resource managers mitigate and adapt to these adverse impacts. In this project, we aim to achieve a better precipitation downscaling in the Great Plains with the Weather Research and Forecast (WRF) model and use the high quality dynamic downscaling results...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
Core Research Center, core B819, from well operated by CARTER OILRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "B819", "API Num": "2501105091", "Operator": "CARTER OIL", "Well Name": "1 TRAWEEK", "Field": "WILDCAT CARTER", "State": "MT", "County": "CARTER", "Type": "CHIPS", "Photos": "T", "Thin Sec": "T", "Analysis": "T", "Latitude": "45.966857", "Longitude": "-104.178706", "coordinates_geohash": "c8jvt252k5nw", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "RED RIVER", "Age": null, "Min Depth": "9385", "Max Depth": "9394"}, {"Formation": "UNKNOWN",...
Core Research Center, core T275, from well operated by PETRO HUNT LLCRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "T275", "API Num": "2502121185", "Operator": "PETRO HUNT LLC", "Well Name": "OLSON 19-54-21B-2-1", "Field": "SOUTH BLOOMFIELD", "State": "MT", "County": "DAWSON", "Type": "SLABBED", "Photos": "T", "Thin Sec": "F", "Analysis": "F", "Latitude": "47.396531", "Longitude": "-104.851664", "coordinates_geohash": "c8mmwh32g1u8", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "RED RIVER", "Age": "ORDOVICIAN", "Min Depth": "10989", "Max Depth":...
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This part of the Data Release contains the raster representation of the water-level altitude and water-level change maps developed every 5 years from 1980-2015 for the upper Rio Grande Focus Area Study. The input point data used to generate the water-level altitude maps can be found in the "Groundwater level measurement data used to develop water-level altitude maps in the upper Rio Grande Alluvial Basins" child item of this data release. These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins of the upper Rio Grande...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Abiquiu Reservoir, Ahumada, Alamosa, Alamosa County, Alamosa Creek, All tags...
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Sandbars of large sand-bedded rivers of the Central U.S. serve important ecological functions to many species, including the endangered Interior Least Tern (Sternula antillarum) (ILT). ILT are colonial birds which feed on fish and nest primarily on riverine sandbars during their annual breeding season of approximately May through July, depending on region. During this time, ILT require bare sand of sufficient elevation so as not to be inundated during the period between nest initiation and fledging of hatchlings. ILT were originally listed as endangered due in part to decreases in available sandbar habitat from river channelization and impoundment. Sandbars in Central U.S. rivers used by ILT are highly dynamic,...


map background search result map search result map FSA 10:1 NAIP Imagery m_3309435_nw_15_1_20140823_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3309443_nw_15_1_20140823_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3309508_sw_15_1_20140813_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3309523_nw_15_1_20140813_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3309539_sw_15_1_20140813_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3109306_ne_15_1_20150724_20150909 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3209354_ne_15_1_20150719_20150909 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3209362_se_15_1_20150719_20150909 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3209363_nw_15_1_20150501_20150909 3.75 x 3.75 minute JPEG2000 from The National Map Interior Least Tern Sandbar Nesting Habitat Measurements from Landsat TM Imagery: Land Cover Type Classification Files Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System Core Research Center Core B819 Core Research Center Core T275 Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study USGS US Topo 7.5-minute map for Detroit, TX 2013 USGS US Topo 7.5-minute map for Lydia, TX 2010 USGS US Topo 7.5-minute map for Coushatta, LA 2012 USGS US Topo 7.5-minute map for Coushatta, LA 2015 USGS US Topo 7.5-minute map for Fairview Alpha, LA 2012 FSA 10:1 NAIP Imagery m_3309435_nw_15_1_20140823_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3309443_nw_15_1_20140823_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3309508_sw_15_1_20140813_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3309523_nw_15_1_20140813_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3309539_sw_15_1_20140813_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3109306_ne_15_1_20150724_20150909 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3209354_ne_15_1_20150719_20150909 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3209362_se_15_1_20150719_20150909 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3209363_nw_15_1_20150501_20150909 3.75 x 3.75 minute JPEG2000 from The National Map USGS US Topo 7.5-minute map for Detroit, TX 2013 USGS US Topo 7.5-minute map for Lydia, TX 2010 USGS US Topo 7.5-minute map for Coushatta, LA 2012 USGS US Topo 7.5-minute map for Coushatta, LA 2015 USGS US Topo 7.5-minute map for Fairview Alpha, LA 2012 Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study Interior Least Tern Sandbar Nesting Habitat Measurements from Landsat TM Imagery: Land Cover Type Classification Files Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System