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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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We will work with Landscape Conservation Cooperative partners to (1) edge match the Oklahoma and Texas Ecological Systems (ECS) data sets, (2) complete an enduring features (ecological site type; geophysical setting) data set for Oklahoma, (3) create a process for up-dating the ECS data set by detecting land cover change and modeling the revised ECS types, and (4) collect field data to characterize grassland composition in the Texas panhandle and adjacent Oklahoma. MoRAP staff will complete the first three tasks by leveraging knowledge, skills, and data on-hand from earlier work on the statewide ECS data sets. Staff from Texas Parks and Wildlife Department (TPWD) and Oklahoma Department of Wildlife Conservation...
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The Ecological Mapping System (ECS) of Texas data set is a spatially explicit map that was completed in sections, starting in 2007 through 2013. Methods developed in Texas were extended and used to complete mapping in Oklahoma in 2014 and 2015, so maps are compatible across state borders and cover about 11% of the conterminous USA (Figure 1). Vegetation patterns change so maps from any given date are less accurate as time passes. Cost-efficient methods of producing map up-dates are needed to facilitate planning and management. For example, habitat for the Golden-cheeked Warbler (GCWA) in the Texas Hill Country is under threat from conversion to grasslands for grazing and to urban uses. Since the original maps for...
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The Gulf Coast Prairies LCC has initiated efforts to improve biological planning and landscape conservation design with a focus on implementing State Wildlife Plans (SWAPs) for the benefit of focal species and pollinators. To facilitate landscape conservation planning, the GCP LCC has supported land cover data projects as well as refining a platform for grassland planning, inventory and monitoring (G-MIT). These data are shared nationally through ScienceBase and the GCP Conservation Planning Atlas and used to inform their Grassland Decision Support Tool. While this work has been limited to parts of Texas and Oklahoma there is great interest and need to create high resolution, seamless and consistent land cover data...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2017, Data Acquisition and Development, Datasets/Database, EARTH SCIENCE, EARTH SCIENCE, All tags...
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The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 NAIP dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LULC categories. This process involved stitching together more reliable sources for specific categories to apply to higher resolution (75) segmentation product....
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The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 National Aerial Imagery Program (NAIP) dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LandUse/LandCover (LULC) categories. This process involved stitching together more reliable sources for specific categories to...
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We worked with state and federal partners to (1) edge match the Oklahoma and Texas Ecological Systems (ECS) datasets with a focus on the Texas and Oklahoma panhandle region, (2) complete an enduring features (ecological site type; geophysical setting) dataset for Oklahoma, and (3) create a process for updating the Ecological Systems (ES) map and dataset by detecting land cover change and modeling the revised ES types. Staff from the Texas Parks and Wildlife Department (TPWD) collected field data in support of edge matching, and to help better characterize and classify the ES types in the panhandle region of Texas and adjacent Oklahoma.
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Based on discussions with the Grassland Decision Support Tool Technical Review Team, NatureServe,and MoRAP regarding combining efforts for an expanded project to address grassland conservation within the Gulf Coast Prairie LCC, we propose 5 tasks. The effort will utilize the expertise of Nature Serve to facilitate, coordinate and communicate the efforts with stakeholders, and MoRAP to focus on the technical elements of the products identified by partners including data development and analysis. MoRAP performed a spatial analysis to identify opportunities for grassland habitat conservation and attributed these polygons with ecological character / biological variables such as patch size, prevailing potential grassland...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Conservation NGOs, Data, Data.gov Gulf Coast Prairie Landscape Conservation Cooperative, EARTH SCIENCE, All tags...
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We worked with state and federal partners to (1) edge match the Oklahoma and Texas Ecological Systems (ECS) datasets with a focus on the Texas and Oklahoma panhandle region, (2) complete an enduring features (ecological site type; geophysical setting) dataset for Oklahoma, and (3) create a process for updating the Ecological Systems (ES) map and dataset by detecting land cover change and modeling the revised ES types. Staff from the Texas Parks and Wildlife Department (TPWD) collected field data in support of edge matching, and to help better characterize and classify the ES types in the panhandle region of Texas and adjacent Oklahoma.


    map background search result map search result map Connecting Advanced Land Cover for Improved Biological Planning and Conservation Design High resolution landcover for the Western Gulf Coastal Plain of Louisiana and Texas Prairie Landscapes Ranks in the Gulf Coast Prairie LCC Grassland priority rankings model for the Western Gulf Coastal Plain of Louisiana High resolution landcover for the Western Gulf Coastal Plain of Louisiana Final Report: Connecting Advanced Land Cover for Improved Biological Planning and Conservation Design: Edge Matching between Texas and Oklahoma, Enduring Features for Oklahoma, and a Map Update Process Landcover to Enduring Features Key Pilot Project for Up-date of Ecological Mapping Systems of Texas and Analysis of Habitat Change with Respect to the Golden-cheeked Warbler Oklahoma and Texas Landcover Edge Match Oklahoma Enduring Features High resolution landcover for the Western Gulf Coastal Plain of Louisiana and Texas Grassland priority rankings model for the Western Gulf Coastal Plain of Louisiana High resolution landcover for the Western Gulf Coastal Plain of Louisiana Oklahoma Enduring Features Final Report: Connecting Advanced Land Cover for Improved Biological Planning and Conservation Design: Edge Matching between Texas and Oklahoma, Enduring Features for Oklahoma, and a Map Update Process Landcover to Enduring Features Key Pilot Project for Up-date of Ecological Mapping Systems of Texas and Analysis of Habitat Change with Respect to the Golden-cheeked Warbler Oklahoma and Texas Landcover Edge Match Connecting Advanced Land Cover for Improved Biological Planning and Conservation Design Prairie Landscapes Ranks in the Gulf Coast Prairie LCC