Skip to main content
Advanced Search

Filters: Types: Raster (X) > Types: Downloadable (X) > partyWithName: Cali L Roth (X)

5 results (24ms)   

View Results as: JSON ATOM CSV
thumbnail
We evaluated the expected success of habitat recovery in priority areas under 3 different restoration scenarios: passive, planting, and seeding. Passive means no human intervention following a fire disturbance. Under a planting scenario, field technicians methodically plant young sagebrush saplings at the burned site. The seeding scenario involves distributing large amounts of sagebrush seeds throughout the affected area.
thumbnail
This dataset contains a bare earth digital elevation model (DEM), with a 0.5-square-meter (m2) cell size, of the Cottonwood Lake Study Area, Stutsman County, North Dakota. The DEM was based primarily on airborne lidar data acquired by Fugro Horizons of Rapid City, South Dakota, and made into a DEM by USGS personnel using the ArcGIS extension LP360 (QCoherent Software, 2013). Additional DEM processing to incorporate the bathymetry of study wetlands was done using survey-grade global positioning system (GPS) data collected by soundings of the bottom of each wetland. Through these steps, a continuous elevation model representing both the surrounding uplands and wetland basins was produced for the site (Mushet and Scherff...
thumbnail
We evaluated nest site selection and nest survival both before and after a fire disturbance occurred. We then combined those surfaces to determine the areas which were most heavily impacted by the fire.
thumbnail
This raster dataset depicts phase 1 pinyon-juniper expansion , where shrubs and herbs are the dominant vegetation and conifers occupy greater than zero percent to ten percent, intersecting documented sage-grouse habitat management categories (Coates et al., 2016a, Coates et al., 2016b). These data support the following publication: K. Benjamin Gustafson, Peter S. Coates, Cali L. Roth, Michael P. Chenaille, Mark A. Ricca, Erika Sanchez-Chopitea, Michael L. Casazza, Using object-based image analysis to conduct high- resolution conifer extraction at regional spatial scales, International Journal of Applied Earth Observation and Geoinformation, Volume 73, December 2018, Pages 148-155, ISSN 0303-2434, https://doi.org/10.1016/j.jag.2018.06.002....
thumbnail
These data are a habitat restoration index based on the intersection of loss of habitat selected by sage-grouse and loss of habitat contributions to nest survival following wildfire.
    map background search result map search result map Cottonwood Lake Study Area – Digital Elevation Model with Topobathy Sage-grouse habitat management categories within phase 1 Pinyon-Juniper expansion in Nevada and northeastern California, derived from 2016 and 2017 Raster Products Sagebrush Restoration Under Passive, Planting, and Seeding Scenarios Following Fire Disturbance in the Virginia Mountains, Nevada (2018) Post-Fire Change in Greater Sage-Grouse Nest Selection and Survival in the Virginia Mountains, Nevada (2018) Habitat Restoration Index for Greater Sage-Grouse in the Virginia Mountains, Nevada (2018) Cottonwood Lake Study Area – Digital Elevation Model with Topobathy Post-Fire Change in Greater Sage-Grouse Nest Selection and Survival in the Virginia Mountains, Nevada (2018) Habitat Restoration Index for Greater Sage-Grouse in the Virginia Mountains, Nevada (2018) Sagebrush Restoration Under Passive, Planting, and Seeding Scenarios Following Fire Disturbance in the Virginia Mountains, Nevada (2018) Sage-grouse habitat management categories within phase 1 Pinyon-Juniper expansion in Nevada and northeastern California, derived from 2016 and 2017 Raster Products