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FY2017This dataset provides a near-real-time estimate of 2017 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) data gathered through June 19, 2017. This is the second iteration of an early estimate of herbaceous annual cover for 2017 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through May 1 (https://doi.org/10.5066/F7445JZ9). The pixel values for this most recent estimate ranged from 0 to100%...
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This dataset provides a near-real-time estimate of 2018 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) data gathered through July 1, 2018. This is the second iteration of an early estimate of herbaceous annual cover for 2018 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through May 1 (https://doi.org/10.5066/P9KSR9Z4). The pixel values for this most recent estimate ranged from 0 to100% with...
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Expansion of cheatgrass and other non-native grasses into primarily arid and semi-arid rangeland ecosystem, has presented the Great Basin and western conterminous U.S shrub and grasslands with significant problems. The short, but very early, growing period for these annual grass leaves fine fuels that promotes wildfires and deplete moisture and nutrients that otherwise would be available later to native grasses and forbs. Mapping the coverage of these annual grasses informs wildfire danger and behavior and provide valuable informtion to weed controls, and conservation. Further, spatiotemporal data cubes of this information can be mined to learn environmental envelopes for invasion and long-term ecological tipping...
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The dataset provides a near real time estimation of 2020 herbaceous mostly annual fractional cover predicted on July 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P96PVZIF., Boyte et al. 2018 https://doi.org/10.5066/P9RIV03D.), but starting this year we are mapping at a 30m resolution (Pastick et al. 2020 doi:10.3390/rs12040725). This dataset was generated using in situ observations from Bureau of Land Management’s (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; weekly composites of harmonized Landsat and Sentinel-2 (HLS) data (https://hls.gsfc.nasa.gov/); relevant environmental, vegetation,...
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This feature estimates the geographic extent of the sagebrush biome in the United States. It was created for the Western Association of Fish and Wildlife Agency’s (WAFWA) Sagebrush Conservation Strategy publication as a visual for the schematic figures. This layer does not represent the realized distribution of sagebrush and should not be used to summarize statistics about the distribution or precise location of sagebrush across the landscape. This layer is intended to generalize the sagebrush biome distribution using Landsat derived classified vegetation rasters (Rigge at al. 2019), Bureau of Land Management-designated Habitat Management Areas, state-designated Priority Areas for Conservation for sage-grouse, the...
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The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is based on the mean output of two regression-tree models. For one model, we include, as an independent variable amongst other independent variables, a dataset that is the mean of 17-years of annual herbaceous percent cover (https://doi.org/10.5066/F71J98QK). This model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. A second model was developed that did not include the mean of 17-years of annual herbaceous percent cover, and this model's test mean error rate (n = 1670), based...
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This dataset contains information on the survival of sagebrush seedlings originating from seed collected from 3 'local' populations over 2+ years. Datasets presented consist of individual seedling survival, growth and reproduction data as well as population level results as they relate to the differences in modeled and calculated climate variables and the differences between the climatic conditions of the seed source sites and the common garden sites.
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Disclaimer: Data release is currenlty under revision Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. The USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrublands to date. Nine shrubland ecosystem components, including percent shrub, sagebrush (Artemisia spp), big sagebrush, herbaceous, annual herbaceous, litter, and bare ground cover, along with sagebrush and shrub heights, were quantified at 30-m resolution by mapping region. Each region required extensive ground measurement for model training and validation, two scales of...
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The dataset provides an estimate of 2020 herbaceous mostly annual fractional cover predicted on May 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P9ZEK5M1., Boyte et al. 2018 https://doi.org/10.5066/P9KSR9Z4.), but we are now mapping at a 30m resolution (Pastick et al. 2020 doi:10.3390/rs12040725). This dataset was generated using in situ observations from Bureau of Land Management’s (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; weekly composites of harmonized Landsat and Sentinel-2 (HLS) data (https://hls.gsfc.nasa.gov/); relevant environmental, vegetation, remotely sensed, and geophysical...
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The dataset provides an estimate of 2018 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The pixel values range from 0 to100 with an overall mean value of 8.32 and a standard deviation of +/-11.93. The model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. This dataset was generated by integrating ground-truth measurements of annual herbaceous percent cover with 250-m spatial resolution eMODIS NDVI satellite derived data and geophysical variables into regression-tree software. The geographic coverage includes the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. We applied...
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This dataset provides a near-real-time estimate of 2019 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) data gathered through June 24, 2019. This is the second iteration of an early estimate of herbaceous annual cover for 2019 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through April 28, 2019 (https://doi.org/10.5066/P9ZEK5M1). The pixel values for this most recent estimate ranged from 0 to100%...
The project was conducted to study the effects of land management options. It was conducted across a regional network of sites in sagebrush communities. Using this regional network of sites allowed us to understand the thresholds between healthy and unhealthy sagebrush communities over a broad range of conditions across the Great Basin. Sites were located in sagebrush communities threatened by cheatgrass invasion, and we studied the effects of four land management options: control (no management action), prescribed fire, mechanical thinning of sagebrush by mowing, and herbicide application (to thin old, unproductive sagebrush plants and encourage growth of young sagebrush and native understory grasses). An additional...
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This dataset provides a near-real-time estimate of 2017 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) data gathered through June 19, 2017. This is the second iteration of an early estimate of herbaceous annual cover for 2017 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through May 1 (https://doi.org/10.5066/F7445JZ9). The pixel values for this most recent estimate ranged from 0 to100% with...
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The dataset provides an estimate of 2017 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The pixel values range from 0 to100 with an overall mean value of 7.1 and a standard deviation of +/-10.5. The model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. This dataset was generated by integrating ground-truth measurements of annual herbaceous percent cover with 250-m spatial resolution eMODIS NDVI satellite derived data and geophysical variables into regression-tree software. The geographic coverage includes the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. We applied...


    map background search result map search result map Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2017) Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem (June 19, 2017) Near-real-time Herbaceous Annual Cover in the Great Basin Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2018) Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2018 The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019) Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2019 Pre- and Post-Treatment Fuels and Vegetation Data from the Great Basin, 2006-2018 Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020 Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020 Early Establishment Patterns of 'Local' Wyoming Big Sagebrush Population in Common Gardens Along Elevational Gradient in Owyhee Mountains, Idaho National Land Cover Database (NLCD) 2016 Shrubland Fractional Components for the Western U.S. (Under Revision) Early Establishment Patterns of 'Local' Wyoming Big Sagebrush Population in Common Gardens Along Elevational Gradient in Owyhee Mountains, Idaho Pre- and Post-Treatment Fuels and Vegetation Data from the Great Basin, 2006-2018 Near-real-time Herbaceous Annual Cover in the Great Basin Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2017) Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem (June 19, 2017) Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2018) Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2018 Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019) Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2019 Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020 Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020 The Sagebrush Biome Range Extent, as Derived from Classified Landsat Imagery National Land Cover Database (NLCD) 2016 Shrubland Fractional Components for the Western U.S. (Under Revision)