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Filters: Tags: {"scheme":"ISO 19115 Topic Category","name":"imagerybasemapsearthcover"} (X) > partyWithName: Great Plains Landscape Conservation Cooperative (X)

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We created an enduring features (EF, ecological site type, geophysical setting) dataset for Oklahoma that is similar to the EF dataset we created for Texas (see Diamond et al. 2016, Diamond and Elliott 2015, Elliott et al. 2014), . Digital soil map unit polygons (MUs), variables derived from digital elevation models (e.g. percent slope), and landform models (e.g. low, gentle slopes and flats in the Ozark and Ouachita Mountains) were combined to form this dataset. Among these, the low flats of the Ozark and Ouachita Mountains were most complicated to model because the sites had a low slope but were occupied by dry-mesic forest (in contrast to the low slope of uplands, which tended to be drier). A combination of slope...
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Previous vegetation mapping project has areas along the boundary between Texas and Oklahoma along the Red River where data was missing (gaps) or where overlaps contained contradictory mapped types (overlaps). These areas were corrected with this product. Gaps were corrected using new image objects attributed with landcover from the previous products and new soils data available from NRCS (gSSURGO). Overlaps were corrected by selecting one of the mapped types identified by previous products based on the state boundary provided by the U. S. Census Bureau (500k).
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Leaders within the Kansas Department of Wildlife, Parks and Tourism and the Nebraska Game and Parks Commission recognized the need for current vegetation datasets and maps to facilitate conservation planning and management. Prior to the initiation of this project, Ecological Mapping System (EMS) datasets had been completed by the Missouri Resource Assessment Partnership (MoRAP) for Texas and Oklahoma. The U.S. Fish and Wildlife Service facilitated meetings among states that highlighted the Texas and Oklahoma datasets. This led state leaders in Kansas and Nebraska to initiate the current project, with the aims of (1) producing the highest quality digital and map datasets possible, and (2) leveraging funds from each...


    map background search result map search result map Oklahoma and Texas Landcover Edge Match Oklahoma Enduring Features Ecological Mapping Systems of Kansas and Nebraska Oklahoma Enduring Features Oklahoma and Texas Landcover Edge Match Ecological Mapping Systems of Kansas and Nebraska