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Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___North Central CASC ____FY 2012 Projects _____Integrating Climate and Biological Data into Management Decisions for the Greater Sage-­Grouse and their Habitats Approved DataSets Approved Products Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Citation (1) Contacts Claudine Tobalske U.S. Geological Survey - ScienceBase Montana Natural Heritage Program Montana Natural heritage Program Ute Langner Linda Vance Categories Data (3) Publication (1) Tag Types Theme (3) Science Themes (4) Place (3) Label (4) Science Tools For Managers (4) Wildlife and Plants (4) Tag Schemes None (3) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (4) ISO 19115 Topic Categories (3) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (4) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceToolsforManagers (4) https://www.sciencebase.gov/vocab/category/NCCWSC/WildlifeandPlants (4) View Results as: JSON ATOM CSV Browse Folder

Charles M. Russell National Wildlife Refuge Spot Landcover Classification in Relation to Greater Sage Grouse This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped into 18 classes. Overall accuracy, generated internally through bootstrapping, was 75.5%. A series of post-modeling steps brought the final number of land cover classes to 28. Categories: Data; Types: Citation; Tags: Birds, CMR, Charles M. Russell National Wildlife Refuge, Data Visualization & Tools, Landcover, All tags... Montana, North Central CASC, SPOT Imagery, Science Tools For Managers, Wildlife and Plants, environment, imageryBaseMapsEarthCover, Fewer tags Training Points Training points collected in the field between 2012 and 2013 were grouped into 18 classes: Forested Burn (66), Foothill Woodland Steppe Transition (73), Greasewood Flat (73), Greasewood Steppe (239), Greasewood Sage Steppe (277), Great Plains Badlands (166), Great Plains Riparian (255), Low Density Sage Steppe (776), Medium Density Sage Steppe (783), Mixed Grass Prairie (555), Mixed Grass Prairie Burned (278), Ponderosa Pine Woodland and Shrubland (512), Riparian Floodplain (223), Semi-Desert Grassland (103), Sparsely Vegetated Mixed Shrub (252), Silver Sage Flat (70) , Silver Sage Steppe (64), and Water (246). When insufficient field data were available for a class, we augmented it through photointerpretation of... Categories: Data; Types: Citation; Tags: Birds, Charles M. Russel Wildlife Refuge, Data Visualization & Tools, North Central CASC, Science Tools For Managers, All tags... Wildlife and Plants, environment, Fewer tags Charles M. Russell National Wildlife Refuge Landsat 8 Landcover Classification in Relation to Greater Sage Grouse This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped into 18 classes. Overall accuracy, generated internally through bootstrapping, was 72.7%. A series of post-modeling steps brought the final number of land cover classes to 28. Categories: Data; Types: Citation; Tags: Birds, CMR, Charles M. Russell National Wildlife Refuge, Data Visualization & Tools, Landcover, All tags... Landsat Imagery, Montana, North Central CASC, Science Tools For Managers, Wildlife and Plants, environment, imageryBaseMapsEarthCover, Fewer tags Final Report: Integrating Climate and Biological Data into Management Decisions for the Greater Sage-­Grouse and their Habitats This study had two objectives: first, to generate a landcover map for the Charles M. Russell Wildlife Refuge (CMR) emphasizing the distribution of land cover types in relation to greater sage grouse ( Centrocercus urophasianus) habitat needs, and second, to provide data that would allow a determination of whether results were better with SPOT imagery or Landsat 8 imagery. SPOT imagery is provided at a 10m pixel resolution, while Landsat 8 is at 30m. Results from this classification will allow managers to determine which resolution provides the accuracy needed for habitat planning and management. Categories: Publication; Types: Citation; Tags: Birds, CMR, Charles M. Russell Wildlife Refuge, Data Visualization & Tools, North Central CASC, All tags... Science Tools For Managers, Wildlife and Plants, greater sage grouse, Fewer tags