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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....
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 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary....
Core Research Center, core T130, from well operated by NEWFIELD PRODUCTIONRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "T130", "API Num": "2503522144", "Operator": "NEWFIELD PRODUCTION", "Well Name": "OLD WEST 1-9-16H", "Field": "WILDCAT", "State": "MT", "County": "GLACIER", "Type": "SLABBED", "Photos": "T", "Thin Sec": "F", "Analysis": "T", "Latitude": "48.62713", "Longitude": "-112.5306", "coordinates_geohash": "c2xuxk39wfnc", "Source": "PROVIDED BY DONOR", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "BAKKEN", "Age": null, "Min Depth": "5319", "Max Depth": "5427"}, {"Formation":...
Core Research Center, core T769, from well operated by FIDELITY EPCORaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "T769", "API Num": "2508322920", "Operator": "FIDELITY EPCO", "Well Name": "EDAM 15-22H", "Field": "YELLOWSTONE", "State": "MT", "County": "RICHLAND", "Type": "THIN SLAB", "Photos": "T", "Thin Sec": "F", "Analysis": "T", "Latitude": "47.586322", "Longitude": "-104.395352", "coordinates_geohash": "c8my8qvd7vre", "Source": "PROVIDED BY DONOR", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "LODGEPOLE", "Age": "MISSISSIPPIAN", "Min Depth": "10104", "Max Depth": "10142"},...
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....
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...
USGS Historical Quadrangle in GeoPDF.
USGS Historical Quadrangle in GeoPDF.
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 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary....
Core Research Center, core C427, from well operated by CALIFORNIA OILRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "C427", "API Num": "2508505305", "Operator": "CALIFORNIA OIL", "Well Name": "1 GRIMM", "Field": "EAST BREDETTE W", "State": "MT", "County": "ROOSEVELT", "Type": "CHIPS", "Photos": "T", "Thin Sec": "F", "Analysis": "F", "Latitude": "48.525101", "Longitude": "-105.281149", "coordinates_geohash": "c8thh38x5qmq", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "THREE FORKS", "Age": "DEVO", "Min Depth": "7872", "Max Depth": "7930"}, {"Formation":...
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....
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...
USGS Historical Quadrangle in GeoPDF.
Core Research Center, core C089, from well operated by H N G OIL COMPANYRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "C089", "API Num": "2508521418", "Operator": "H N G OIL COMPANY", "Well Name": "1 TRIBAL 29-49-1", "Field": "WILDCAT", "State": "MT", "County": "ROOSEVELT", "Type": "SLABBED", "Photos": "T", "Thin Sec": "T", "Analysis": "F", "Latitude": "48.291623", "Longitude": "-105.297848", "coordinates_geohash": "c8t4ezhrn71b", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "THREE FORKS", "Age": "DEVO", "Min Depth": "7614", "Max Depth": "7705"}],...
Categories: Physical Item;
Tags: Campanian - Maastrichtian,
DEVO,
Fox Hills Formation,
Fox Hills Formation,
THREE FORKS,
Core Research Center, core B371, from well operated by SUN OIL COMPANYRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "B371", "API Num": "2508305012", "Operator": "SUN OIL COMPANY", "Well Name": "1 DENNIS DYNNESON", "Field": "SIDNEY BRONSON AREA", "State": "MT", "County": "RICHLAND", "Type": "SLABBED", "Photos": "T", "Thin Sec": "T", "Analysis": "T", "Latitude": "47.806911", "Longitude": "-104.322928", "coordinates_geohash": "c8mzfnfr7w4u", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "MISSION CANYON", "Age": "MISS", "Min Depth": "9251", "Max Depth":...
USGS Historical Quadrangle in GeoPDF.
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 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary....
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....
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...
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