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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....
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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....
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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....
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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....
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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....
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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....
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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....
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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....
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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....
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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....
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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. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMHRP, Coastal Erosion, All tags...
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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. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, All tags...


map background search result map search result map USGS Topo Map Vector Data (Vector) 69625 Chepachet, Rhode Island 20180809 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 17099 Georgiaville, Rhode Island 20180731 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 20971 Hope Valley, Rhode Island 20180731 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 32464 North Scituate, Rhode Island 20190605 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 32464 North Scituate, Rhode Island 20190605 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 14927 Fall River, Massachusetts 20180724 for 7.5 x 7.5 minute Shapefile FSA 10:1 NAIP Imagery m_4107105_se_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107113_nw_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107114_nw_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107118_ne_19_h_20160703_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107121_ne_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107123_nw_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107123_sw_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107129_se_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107139_nw_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107143_nw_19_h_20160703_20160914 3.75 x 3.75 minute JPEG2000 from The National Map USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 01090005 (published 20201205) ElevMHW: Elevation adjusted to local mean high water: Rhode Island National Wildlife Refuge, RI, 2014 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Rhode Island National Wildlife Refuge, RI, 2014 Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs FSA 10:1 NAIP Imagery m_4107105_se_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107113_nw_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107114_nw_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107118_ne_19_h_20160703_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107121_ne_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107123_nw_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107123_sw_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107129_se_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107139_nw_19_h_20160704_20160914 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4107143_nw_19_h_20160703_20160914 3.75 x 3.75 minute JPEG2000 from The National Map USGS Topo Map Vector Data (Vector) 69625 Chepachet, Rhode Island 20180809 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 17099 Georgiaville, Rhode Island 20180731 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 20971 Hope Valley, Rhode Island 20180731 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 32464 North Scituate, Rhode Island 20190605 for 7.5 x 7.5 minute FileGDB 10.1 USGS Topo Map Vector Data (Vector) 32464 North Scituate, Rhode Island 20190605 for 7.5 x 7.5 minute Shapefile USGS Topo Map Vector Data (Vector) 14927 Fall River, Massachusetts 20180724 for 7.5 x 7.5 minute Shapefile points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Rhode Island National Wildlife Refuge, RI, 2014 ElevMHW: Elevation adjusted to local mean high water: Rhode Island National Wildlife Refuge, RI, 2014 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 01090005 (published 20201205) Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs