Filters: Tags: Little Snake River (X)5 results (96ms)
Geospatial Data for Coal Beds in the Little Snake River coal field and Red Desert area, Greater Green River Basin, Wyoming
The data release encapsulates geospatial data in support of the regional scale study, Coal Geology and Assessment of Coal Resources and Reserves in the Little Snake River coal field and Red Desert assessment area, Greater Green River Basin, Wyoming. The assessment area covers about 2,300 square miles of the Eastern portion of the 15,400 square mile Greater Green River Basin in Southwestern Wyoming. This release includes geospatial data for the study area boundary, depth to coal, thickness of coal, outcrops and reliability. These data were compiled from numerous sources, the primary one being a database of point data that resides in a separate data release.
The U.S. Geological Survey conducted an assessment of coal resources and reserves in the Little Snake River coal field and Red Desert area of the Greater Green River Basin in Southwest Wyoming. A comprehensive database was compiled to support this assessment that includes data points for drill-holes and measured sections. Associated with these resources are lithology descriptors, (focusing on coal beds of varying depth) as well as coal quality data. Sources of data includes the USGS National Coal Resources Data System (NCRDS), Anadarko Land Corporation (Anadarko), Wyoming Oil and Gas Conservation Commission (WOGCC), and previously unpublished data in USGS files. The primary table describes the sample location and...
Aerial photographs from the Yampa and Little Snake Rivers in northwest Colorado used to characterize channel changes occurring between 1954 and 1961
Aerial photographs of the Yampa and Little Snake Rivers acquired in 1954 and 1961 were used to examine channel changes occurring along these two rivers during this time period. In addition, these data were used to develop and test a generalizable new approach to characterizing the uncertainty associated with analyses of channel change based on time series of remotely sensed data, which we term the Spatially Distributed Probabilistic (SDP) method. This technique accounts for errors introduced during: 1) image co-registration and geo-referencing; 2) interpreting the location of the channel boundary; and 3) digitizing the channel boundary. The method provides a probability distribution of channel locations and can...