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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....
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....
Implementation of the U.S. Department of Agriculture (USDA) Conservation Reserve Program (CRP) and Wetlands Reserve Program (WRP) has resulted in the restoration of >2 million ha of wetland and grassland habitats in the Prairie Pothole Region (PPR). Restoration of habitats through these programs provides diverse ecosystem services to society, but few investigators have evaluated the environmental benefits achieved by these programs. We describe changes in wetland processes, functions, and ecosystem services that occur when wetlands and adjacent uplands on agricultural lands are restored through Farm Bill conservation programs. At the scale of wetland catchments, projects have had positive impacts on water storage,...
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This map represents the percent change in total ecosystem carbon from 1971-2000 to 2070-2099, simulated by the model MC1 under the Hadley future climate projection and A2 anthropogenic emissions scenario. The average annual value of total ecosystem carbon for the respective 30-year periods decreased in some of the 5,311 grid cells of the Eastern Oregon study area and increased in others.The range of data values is from -18.2% to +194.1%. The mean value is -78.0% The vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites, one in eastern Oregon (Deschutes and Fremont-Winema National Forests)...
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This map represents the difference in annual minimum temperatures, simulated by the model MC1 between the 30-year periods 1971-2000 and 2070-2099, using the Hadley future climate projection under the A2 anthropogenic emission scenario. The average annual minimum temperature for the respective 30-year periods increased in all of the 5,311 grid cells of the Apache-Sitgreaves study area. The greatest increase was 4.35 C; the least increase was 4.26 C; and the mean increase was 4.31 C. The vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites in eastern Oregon (Deschutes and Fremont-Winema...
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This map represents the mean for the 30 year period 1971-2000 of the annual peak value of the fraction of live vegetation carbon which is in herbaceous (as opposed to woody) vegetation. The data is from output variable GFRAC in MC1 version B60. The data values are unitless fractions and range from 0 to 1. The vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites in eastern Oregon (Deschutes and Fremont-Winema National Forests) and in Arizona (Apache Sitgreaves National Forest area) in the context of a project funded by the USDA Forest Service (PNW 09-JV-11261900-003). Historical climate...
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This product is one of a set of mapped model simulation results generated for a project called "Global Climate Change and California: Potential Implications for Ecosystems, Health, and the Economy". The project was conducted by the Electrical Power Research Institute (EPRI) and funded by the California Energy Commission's Public Interest Energy Research (PIER) Program. The project was the most detailed study ever undertaken on the potential effect of climate change on California. The work examined a broad array of potentially affected sectors as well as the interactions between climate change and increased population, economic growth, and technological change. It considered a wide range of climate change scenarios,...
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Observations from the moderate resolution imaging spectroradiometer (MODIS) were used in combination with a large data set of Field measurements to map woody above-ground biomass (AGB) across tropical Africa. We generated a best-quality cloud-free mosaic of MODIS satellite reflectance observations for the period 2000-2003 and used a regression tree model to predict AGB at 1 km resolution. Results based on a cross-validation approach show that the model explained 82% of the variance in AGB, with a root mean square error of 50.5 Mg ha-1 for a range of biomass between 0 and 454 Mg ha-1 . Analysis of lidar metrics from the Geoscience Laser Altimetry System (GLAS), which are sensitive to vegetation structure, indicate...
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This map represents the mean annual value of total ecosystem carbon, simulated by the model MC1 for the 30-year period 1971-2000. The data is from output variable C_ECOSYS in MC1 version B60. The data is in units of grams of carbon per square meter; values range from 6739 to 77570 g C m-2. The mean value is 35184 g C m-2. The dynamic global vegetation model MC1 (e.g. Bachelet et al. 2001) was used to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget, and wild fire impacts at two study sites in eastern Oregon (Deschutes and Fremont-Winema National Forests) and in Arizona (Apache Sitgreaves National Forest area) in the context of a project funded by the USDA Forest Service (PNW 09-JV-11261900-003)....
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Sagebrush ecosystems in North America have experienced extensive degradation since European settlement, and continue to further degrade from exotic invasive plants, greater fire frequency, intensive grazing practices, increased oil and gas development, climate change, and other factors. Remote sensing is often identified as a key information source to facilitate broad-area ecosystem-wide characterization, monitoring and analysis, however, approaches that characterize sagebrush with sufficient and accurate local detail across large areas to support ecosystem research and analysis are unavailable. We have developed a new remote sensing sagebrush ecosystem characterization approach for the state of Wyoming, U.S.A....
Our objective is to improve the scientific understanding of the modes, rates, and mechanisms of carbon stabilization and losses in soils from Alaska, California, and other Western states. We focus on the biophysical and microbial mechanisms that drive carbon gains and losses, and to use our data to improve models of soil carbon cycling. This catalog supports research from several projects focused on soil carbon cycling. It encompasses multiple types of datasets including environmental, ecological, biological, isotopic, mineralogical, genomic, flux, and modeled data from water, vegetation, soil, and atmospheric matrices. The catalog will be available online and to the public. Therefore, publication of data through...
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.


map background search result map search result map Remote Sensing Sagebrush Habitat Quantification Products for Wyoming (shrub height) Percent change in the average annual value of total ecosystem carbon between 1971-2000 and 2070-2099, as simulated by MC1 under Hadley A2 for the Eastern Oregon study area, USA Difference in mean annual minimum temperatures between 1971-2000 and 2070-2099 under Hadley A2 for the Apache-Sitgreaves study area, Arizona, USA Annual Fraction of the Total Live Vegetation Carbon Held in Herbaceous Plants (1971-2000) for the Apache-Sitgreaves study area, Arizona, USA Average annual value of total ecosystem carbon (1971-2000) for the Eastern Oregon study area, USA Angola woody above ground biomass (tonnes/hectare) HAD IS92a future climate scenario: Projected (2070-2099) Percentage Change in Mean Total Annual Precipitation for California FSA 10:1 NAIP Imagery m_4210647_nw_13_h_20150622_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210650_nw_13_h_20150620_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210655_ne_13_h_20150622_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210655_se_13_h_20150622_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210655_sw_13_h_20150622_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210656_nw_13_h_20150622_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210657_se_13_h_20150620_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210756_se_13_h_20150618_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210762_sw_13_h_20150618_20151021 3.75 x 3.75 minute JPEG2000 from The National Map USGS Soil Biogeochemistry USGS US Topo 7.5-minute map for Coad Mountain, WY 2012 USGS US Topo 7.5-minute map for Coad Mountain, WY 2015 FSA 10:1 NAIP Imagery m_4210647_nw_13_h_20150622_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210650_nw_13_h_20150620_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210655_ne_13_h_20150622_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210655_se_13_h_20150622_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210655_sw_13_h_20150622_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210656_nw_13_h_20150622_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210657_se_13_h_20150620_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210756_se_13_h_20150618_20151021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4210762_sw_13_h_20150618_20151021 3.75 x 3.75 minute JPEG2000 from The National Map USGS US Topo 7.5-minute map for Coad Mountain, WY 2012 USGS US Topo 7.5-minute map for Coad Mountain, WY 2015 Annual Fraction of the Total Live Vegetation Carbon Held in Herbaceous Plants (1971-2000) for the Apache-Sitgreaves study area, Arizona, USA Difference in mean annual minimum temperatures between 1971-2000 and 2070-2099 under Hadley A2 for the Apache-Sitgreaves study area, Arizona, USA Percent change in the average annual value of total ecosystem carbon between 1971-2000 and 2070-2099, as simulated by MC1 under Hadley A2 for the Eastern Oregon study area, USA Average annual value of total ecosystem carbon (1971-2000) for the Eastern Oregon study area, USA Remote Sensing Sagebrush Habitat Quantification Products for Wyoming (shrub height) HAD IS92a future climate scenario: Projected (2070-2099) Percentage Change in Mean Total Annual Precipitation for California Angola woody above ground biomass (tonnes/hectare)