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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. These datasets consist of a workspace (folder) containing a collection of gridded datasets plus a personal geodatabase containing several vector datasets. These datasets are designed to be used with the ArcHydro Tools, developed by ESRI in partnership with the U.S. Geological Survey, StreamStats Development Team. The datasets, together with the ArcHydro Tools, allow users to delineate watersheds and compute several watershed characteristics....
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The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.
Tags: Adams, Antarctica, Antarctica, BGN, Barnes, All tags...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This data set represents soil surface slope, in percent times 1000, in the conterminous United States. The data set was used as an input data layer for a national model to predict nitrate concentration in shallow ground water. Nolan and Hitt (2006) developed two national models to predict contamination of ground water by nonpoint sources of nitrate. The nonlinear approach to national-scale Ground-WAter Vulnerability Assessment (GWAVA)...
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The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.
Tags: Adams, Antarctica, Antarctica, BGN, Barnes, All tags...
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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
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Agriculture, though important to economic development and food security, is a source of increased sediment, nutrient, and pesticide runoff. Threats from sedimentation and pollution from inland sources were modeled for over 3,000 watersheds discharging into the Caribbean.
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This dataset represents an aquifer sensitivity rating for land surface slope in the State of Wyoming. This dataset is specifically to be used within a DRASTIC-type aquifer sensitivity/vulnerability analysis. The dataset is in raster format, either 100 or 500 meter cell size. For more details about this dataset, please refer to this report: Hamerlinck, J.D. and Arneson, C.S., editors, 1998, Wyoming Ground-Water Vulnerability Assessment Handbook: Volume 1. Background, Model Development, and Aquifer Sensitivity Analysis: Wyoming Geographic Information Science Center Publication WyGISC 98-01-1, University of Wyoming, Laramie, WY.
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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise. Digital Data Series - 68
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....
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....


map background search result map search result map Land Surface Slope Sensitivity Rating for Wyoming at 1:100,000 TNC Land Facets for the ALI analysis area Coastal Vulnerability Caribbean threats from watershed-based sources of sedimentation and pollution (polygon) Wave Height Data for the Gulf of Mexico FSA 10:1 NAIP Imagery m_4610319_sw_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610321_sw_13_1_20150914_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610326_sw_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610331_nw_13_1_20150914_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610332_nw_13_1_20150914_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610333_nw_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610334_nw_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610335_nw_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610339_sw_13_1_20150914_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610341_ne_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map USGS US Topo 7.5-minute map for Badland Draw, MT-ND 2014 ArcHydro 8-digit HUC datasets for Idaho StreamStats Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for slope (gwava-s_slop) Geographic Names Information System (GNIS) Full Model for ND (published 20240206) FileGDB Geographic Names Information System (GNIS) Domestic Names for ND (published 20240201) pipes FSA 10:1 NAIP Imagery m_4610319_sw_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610321_sw_13_1_20150914_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610326_sw_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610331_nw_13_1_20150914_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610332_nw_13_1_20150914_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610333_nw_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610334_nw_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610335_nw_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610339_sw_13_1_20150914_20151221 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610341_ne_13_1_20150920_20151221 3.75 x 3.75 minute JPEG2000 from The National Map USGS US Topo 7.5-minute map for Badland Draw, MT-ND 2014 TNC Land Facets for the ALI analysis area Geographic Names Information System (GNIS) Full Model for ND (published 20240206) FileGDB Geographic Names Information System (GNIS) Domestic Names for ND (published 20240201) pipes Land Surface Slope Sensitivity Rating for Wyoming at 1:100,000 Wave Height Data for the Gulf of Mexico ArcHydro 8-digit HUC datasets for Idaho StreamStats Coastal Vulnerability Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in shallow, recently recharged ground water -- Input data set for slope (gwava-s_slop) Caribbean threats from watershed-based sources of sedimentation and pollution (polygon)