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Jamie L McBeth

Physical Scientist
Geosciences and Environmental Change Science Center

Email: jlmcbeth@usgs.gov
Office Phone: 406-994-2371
Fax: 406-994-6556
ORCID: 0000-0002-7688-7985

Supervisor: Donald S Sweetkind
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These data were created to describe the causes of land cover change that occurred in the Interior Highland region of the United States for the time intervals of 2001 to 2006 and 2006 to 2011. This region, which covers approximately 17.5 million hectares, includes portions of the U.S. states of Arkansas, Missouri, Oklahoma, and Kansas. Most of the area is covered by gently rolling hills of forests and pastureland. Two raster maps were created at a 30-meter resolution showing the causes of land change using automated and manual photo interpretation techniques. There were 30 categories of land change causes (i.e., forest harvest or surficial mining) discovered over the Interior Highlands. These categories can be used...
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This release of digital geologic map data covers the Niobrara National Scenic River, a 76-mile stretch of river at the northern edge of the Nebraska Sand Hills. The mapped area includes the National Park Service unit of the Niobrara National Scenic River and the adjoining Middle Niobrara Preserve of The Nature Conservancy, and the Fort Niobrara Wildlife Refuge of the U.S. Fish and Wildlife Service. These digital geologic map data focus on the surficial geologic framework, dominated by the late Quaternary geology, of the Niobrara River valley corridor. These data are the result of geologic mapping begun by the U.S. Geological Survey in 2011 and continuing for about a decade. Mapping is based on geomorphic and other...
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The dataset was generated for the South Central Plains EPA level III ecoregion which extends through eastern Texas, northwestern Louisiana, southwest Arkansas, and a small portion of southeastern Oklahoma covering approximately 15.2 ha. Contained in the data set are land change causes that occurred between 2001 to 2006 such as forest harvest, surficial mining, and cropland expansion. Only those pixels (30-meter resolution) that have changed during the time period have their cause classified, otherwise no change is indicated between 2001 and 2006. In general, the process to create the data combined an automated and manual interpretation approach of spatial data to correctly identify land change causes. In the approach,...
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These data were created to describe the causes of land cover change that occurred in the Lower Rio Grande (LRG) Valley and Alluvial Floodplain ecoregions of Texas for the time intervals of 2001 to 2006 and 2006 to 2011. The study area covers approximately 600,000 hectares at the southernmost tip of Texas and is one of the fastest growing regions in the United States. Some of the largest cities in the area include Brownsville and Harlingen, Texas. Two raster maps showing the causes of land change were created at a 30-meter resolution using automated and manual photo interpretation techniques. There were 26 categories of land change causes (for example, urban expansion or surficial mining) identified across the LRG...
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