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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas...
Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...
Tags: AB, AZ, Alberta, Arizona, Arizona Plateau, All tags...
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Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at a 30-m resolution across rangelands of the Western U.S. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2021 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate...
Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags...
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View of pegmatite rocks on Sylvan Lake, 6 miles north northeast of Custer, Black Hills. Custer County, South Dakota. September 1897.
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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 is a polygon coverage created in ARC/INFO that represents the saturated thickness of the Minnelusa aquifer, Black Hills area, South Dakota. The unconfined zone of the Minnelusa aquifer is the area where the potentiometric surface of the aquifer is below the top of the formation. The elevation of the top of the potentiometric surface of the Minnelusa aquifer was subtracted from the top of the Minnelusa Formation, and...
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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 is a polygon coverage created in ARC/INFO that represents the generalized thickness of the Madison Limestone and Englewood Formation, Black Hills, South Dakota. The thickness of the Madison Limestone and Englewood Formation was determined by substracting the elevation of the top of the Deadwood Formation from the elevation of the top of the Madison Limestone. The elevations for the tops of the formations were determined...
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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 potentiometric surface contours for the Inyan Kara aquifer, Black Hills, South Dakota.
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 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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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 dataset describes wells and test holes completed in the Deadwood Formation that were used to create the structure-contours for the top of the Deadwood Formation, Black Hills, South Dakota.
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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 describes areas where the Minnekahta Limestone is directly overlain by surficial deposits, as well as those areas where the Minnekahta Limestone is absent in the Black Hills area, South Dakota.
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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 dataset describes springs in the Black Hills area that were used to create potentiometric surface maps for the Inyan Kara, Minnekahta, Minnelusa, Madison, and Deadwood aquifers.
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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 dataset describes wells completed in the Deadwood Formation that were used to create a potentiometric surface for the Deadwood aquifer.
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...
Tags: AB, AZ, Alberta, Arizona, Arizona Plateau, All tags...
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The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across western North America using Landsat imagery from 1985-2023. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, tree, and shrub height in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, high-resolution training was revised using an improved neural-net classifier and modelling approach. These data serve as foundation to the RCMAP approach. The training database was...
Tags: AB, AZ, Alberta, Arizona, Arizona Plateau, All tags...
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The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost-effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the Northern Great Basin, USA, from 1986 to 2016 using a dense Landsat imagery time series. 2012 was excluded from the time-series due to a lack of quality imagery. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified...
Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags...
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View of pegmatite rocks on Sylvan Lake, 6 miles north northeast of Custer, Black Hills. Custer County, South Dakota. September 1897.


map background search result map search result map P W Claim Group, Composite Plan FSA 10:1 NAIP Imagery m_4610603_sw_13_1_20150811_20160104 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3110538_nw_13_1_20141005_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3511738_ne_11_h_20160522_20161004 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Black Hills, TX 1979 Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Bare Ground Products for the Western U.S., 1985 - 2018 Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Shrub Wells used in the creation of potentiometric surface contours for the Inyan Kara, Minnekahta, Minnelusa, Madison, and Deadwood Aquifers in the Black Hills Area, South Dakota Selected data for wells and test holes used in structure-contour maps of the Deadwood Formation in the Black Hills area, South Dakota Potentiometric surface contours for the Inyan Kara aquifer, Black Hills area, South Dakota Overlying surficial deposits and absent areas for Minnekahta Limestone in the Black Hills area, South Dakota Spring point coverage for the potentiometric coverages for the Inyan Kara, Minnekahta, Minnelusa, Madison, and Deadwood Aquifers in the Black Hills Area, South Dakota Generalized thickness of the Madison Limestone and Englewood Formation, Black Hills, South Dakota. Saturated thickness of the Minnelusa aquifer, Black Hills, South Dakota. Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2023 Rangeland Condition Monitoring Assessment and Projection (RCMAP) Herbaceous Fractional Component Time-Series Across Western North America from 1985-2023 Rangeland Condition Monitoring Assessment and Projection (RCMAP) Trends Fractional Component Time-Series Across Western North America from 1985-2023 FSA 10:1 NAIP Imagery m_3110538_nw_13_1_20141005_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3511738_ne_11_h_20160522_20161004 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Black Hills, TX 1979 Wells used in the creation of potentiometric surface contours for the Inyan Kara, Minnekahta, Minnelusa, Madison, and Deadwood Aquifers in the Black Hills Area, South Dakota Spring point coverage for the potentiometric coverages for the Inyan Kara, Minnekahta, Minnelusa, Madison, and Deadwood Aquifers in the Black Hills Area, South Dakota Overlying surficial deposits and absent areas for Minnekahta Limestone in the Black Hills area, South Dakota Selected data for wells and test holes used in structure-contour maps of the Deadwood Formation in the Black Hills area, South Dakota Potentiometric surface contours for the Inyan Kara aquifer, Black Hills area, South Dakota Generalized thickness of the Madison Limestone and Englewood Formation, Black Hills, South Dakota. Saturated thickness of the Minnelusa aquifer, Black Hills, South Dakota. Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across Western North America from 1985-2023 Rangeland Condition Monitoring Assessment and Projection (RCMAP) Herbaceous Fractional Component Time-Series Across Western North America from 1985-2023 Rangeland Condition Monitoring Assessment and Projection (RCMAP) Trends Fractional Component Time-Series Across Western North America from 1985-2023 Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Bare Ground Products for the Western U.S., 1985 - 2018 Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 - Shrub