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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....
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....
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This release presents the GIS data (in GDB, shapefile, and e00 [coverage] formats) and metadata for a 1:24,000-scale geologic map of the Poncha Pass area in central Colorado. A cartographic version of the geologic map, including map unit descriptions, interpretative text, and accessory figures and tables, is being separately published as a U.S. Geological Survey Scientific Investigations Map (SIM). The map area is irregular in shape, covering all of one 7.5' quadrangle (Poncha Pass) and parts of five others (Mount Ouray, Maysville, Salida West, Salida East, and Wellsville). The map boundaries were drawn to cover all of the "Poncha mountain block", coincident with the approximately 15-kilometer-long northwestern...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 40Ar/39Ar age, Arkansas River, Bear Creek, Bonanza Tuff, Bull Lake glaciation, All tags...
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Karst hydrologic systems are important resources in the state of Tennessee both as drinking water resources and as centers for possible biological diversity. These systems are susceptible to contamination due to the inherent connectivity between surface water and groundwater systems in karst systems. A partnership between the U.S. Geological Survey (USGS) and Tennessee Department of Conservation (TDEC) was formed to investigate karst spring systems across the state utilizing fluorescent groundwater tracing, particularly in areas where these resources may be used as drinking water sources. In fall 2021, USGS and TDEC staff identified possible vulnerabilities or complexities that may exist within karst spring systems...
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A series of tools (spreadsheets, a database and a document) to be used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
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This R script can be used to analyze SELDM results. The script is specifically tailored for the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
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Aerial photographs of the coastline from Nome to Elim were collected on August 23, 2015. The photographs were processed using Structure-from-Motion (SfM) photogrammetric techniques. Global Positioning System (GPS) checkpoints were collected via a Global Navigation Satellite System (GNSS) survey conducted between August 15 and September 14, 2015. For the purposes of open access to elevation and orthoimagery datasets in coastal regions of Alaska, this collection is being released as a Raw Data File with an open end-user license. This file is a single-band, 32-bit float DSM (digital surface model) which represents surface elevations of buildings, vegetation, and uncovered ground surfaces in meters with 20 cm GSD. The...


map background search result map search result map FSA 10:1 NAIP Imagery m_4408827_se_16_1_20150702_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4408827_sw_16_1_20150702_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3507929_se_17_1_20140827_20141118 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3507929_sw_17_1_20140827_20141118 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3710507_ne_13_1_20150920_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3710507_nw_13_1_20150920_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3710507_se_13_1_20150918_20151102 3.75 x 3.75 minute JPEG2000 from The National Map ADMMR Photo Archive file: Lone Star Group 10-63 ADMMR Photo Archive file: Lone Star Group 111-1 ADMMR Photo Archive file: Lone Star Group 10-60 ADMMR Photo Archive file: Lone Star Group 10-61 Photogrammetric digital surface models and orthoimagery for the continuous coastline, Wales to Platinum, Alaska, segment C: Nome to Elim USGS 1:24000-scale Quadrangle for Bear Creek, WY 1984 USGS 1:24000-scale Quadrangle for Bear Creek, CO 1994 USGS 1:24000-scale Quadrangle for Bear Creek, CO 1969 USGS 1:24000-scale Quadrangle for Bear Creek, NC 1970 Data release for Geologic Map of the Poncha Pass Area, Chaffee, Fremont, and Saguache Counties, Colorado Tools for use in Oregon with the Stochastic Empirical Loading Dilution Model R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model Vanleer, Tennessee Karst Groundwater Dye Tracing Water Year 2022 ADMMR Photo Archive file: Lone Star Group 10-63 ADMMR Photo Archive file: Lone Star Group 111-1 ADMMR Photo Archive file: Lone Star Group 10-60 ADMMR Photo Archive file: Lone Star Group 10-61 FSA 10:1 NAIP Imagery m_4408827_se_16_1_20150702_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4408827_sw_16_1_20150702_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3507929_se_17_1_20140827_20141118 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3507929_sw_17_1_20140827_20141118 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3710507_ne_13_1_20150920_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3710507_nw_13_1_20150920_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3710507_se_13_1_20150918_20151102 3.75 x 3.75 minute JPEG2000 from The National Map Vanleer, Tennessee Karst Groundwater Dye Tracing Water Year 2022 USGS 1:24000-scale Quadrangle for Bear Creek, WY 1984 USGS 1:24000-scale Quadrangle for Bear Creek, CO 1994 USGS 1:24000-scale Quadrangle for Bear Creek, CO 1969 USGS 1:24000-scale Quadrangle for Bear Creek, NC 1970 Photogrammetric digital surface models and orthoimagery for the continuous coastline, Wales to Platinum, Alaska, segment C: Nome to Elim Tools for use in Oregon with the Stochastic Empirical Loading Dilution Model R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model