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A bare earth Digital Elevation Model (DEM) created from 2011 LiDAR LAS files for Austin and Colorado counties in Texas. LiDAR data collection was funded by the Texas Water Development Board. LiDAR LAS files were acquired from Texas Natural Resources Information System (TNRIS). The DEM is a dataset that depicts the topography of the bare earth surface (i.e. surface minus vegetation, buildings, powerlines, etc). This dataset was developled to be used in conjunction with the DSM to create a vegetation height surface (nDSM). The LAS point cloud was filtered to ground points only and the mean z value was calculated. A Digital Surface Model (DSM) created from 2011 LiDAR LAS files for Austin and Colorado counties in Texas....
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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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The Missouri Resource Assessment Partnership (MoRAP) of the University of Missouri, in conjunction with the Oklahoma Biological Survey of the University of Oklahoma, produced a vegetation and landcover GIS data layer for the eastern portions of Oklahoma. This effort was accomplished with direction and funding from the Oklahoma Department of Wildlife Conservation and state and federal partners (particularly the Gulf Coast Prairie and Great Plains Landscape Conservation Cooperatives of the U. S. Fish and Wildlife Service). The legend for the layer is based on NatureServe’s Ecological System Classification, with finer thematic units derived from land cover and abiotic modifiers of the System unit. Data for development...
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Satellite imagery from the Landsat 5 Thematic Mapper sensor and the Landsat 8 Operational Land Imagery were used to investigate changes in overall evergreen vegetation occurring between the 1986-1989 and 2013-2014 time periods. Two path/rows of imagery, from the spring, summer, and fall seasons for each time period were mosaicked together. The imagery was then subset to remove the presence of clouds from the datasets. Images were further subset using the impervious data from the 2011 version of the National Land Cover Database. Unsupervised classification was used to spate each time period imageinto two classes, evergreen vegetation and everything else. Each subsequent time period was subjected to successive unsupervised...
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Grassland conservation is a priority within the GCP LCC. We held a series of meetings and conference calls with partners to identify areas of need both conceptually and geographically. Based on the meeting outcomes, we identified specific tasks that could be accomplished within our scope, including development of datasets and demonstration of a freely available decision support software tool (DST): NatureServe Vista. We generated more than 30 new datasets and posted more than 35 datasets on the GCP LCC Conservation Planning Atlas (CPA). Data were provided for three geographic regions that corresponded to the areas of interest of different partners: the entire LCC, Oklahoma only, and two, 2-county areas in the Coastal...
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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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A bare earth Digital Elevation Model (DEM) created from 2013 LiDAR LAS files for Wilson and Karnes counties in Texas. LiDAR data collection was funded by the Texas Water Development Board. LiDAR LAS files were acquired from Texas Natural Resources Information System (TNRIS). The DEM is a dataset that depicts the topography of the bare earth surface (i.e. surface minus vegetation, buildings, powerlines, etc). This dataset was developled to be used in conjunction with the DSM to create a vegetation height surface (nDSM). The LAS point cloud was filtered to ground points only and the mean z value was calculated. A Digital Surface Model (DSM) created from 2013 LiDAR LAS files for Wilson and Karnes counties in Texas....
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The Gulf Coast Prairie Landscape Conservation Cooperative needs seamless landcover data for the south-central United States. This information is essential for developing computer modeling tools related to the conservation of many terrestrial species and determining the quality of vegetation to assess current and desired conditions.
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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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Gulf Coast Prairie Landscape Conservation Cooperative partners need new computer models to help address threats to grassland habitats, such as land conversion and habitat fragmentation, affecting LCC focal species such as the northern bobwhite and eastern meadowlark. These tools will help partners determine the best places to invest limited resources in conserving and restoring grasslands to support self-sustaining wildlife populations.
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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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The Gulf Coast Prairie Landscape Conservation Cooperative (GCPLCC) has identified grassland habitats and species as priorities for conservation. The goal of the current effort is to (1) identify landscapes of importance at appropriate scale for further work, (2) develop GIS data and decisions support tools to facilitate further conservation efforts. MoRAP identified and mapped grassland landscapes based on neighborhood analysis of current land cover. This dataset includes urban, cropland, and ruderal land cover in order to attribute grassland patches with landscape context variables that may disturb grassland.
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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 Grassland Decision Support Tool LANDFIRE Existing Vegetation Cover for the Gulf Coast Prairie LCC Evergreen Change in Central Oklahoma from 1986 - 2014 Oklahoma Ruderal Woody Vegetation Dynamic Grassland Decision Support Tool Final Report: Initial Development of Grassland Decision Support Tools for the Gulf Coast Prairie Landscape Conservation Cooperative Connecting Advanced Land Cover for Improved Biological Planning and Conservation Design Oklahoma Ecological Systems Mapping - Phase 1 Interpretive Booklet Oklahoma Ecological Systems Mapping - Phase 1 dataset Prairie Landscapes Ranks in the Gulf Coast Prairie LCC Wilson & Karnes Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) Austin and Colorado Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) County Summaries of Ruderal Shrubland and Woodland in Eastern Oklahoma Disturbance Land Cover Types for the Gulf Coast Prairie LCC 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 Wilson & Karnes Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) Austin and Colorado Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) Evergreen Change in Central Oklahoma from 1986 - 2014 Oklahoma Ruderal Woody Vegetation County Summaries of Ruderal Shrubland and Woodland in Eastern Oklahoma Oklahoma Ecological Systems Mapping - Phase 1 Interpretive Booklet Oklahoma Ecological Systems Mapping - Phase 1 dataset 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 Grassland Decision Support Tool Prairie Landscapes Ranks in the Gulf Coast Prairie LCC Disturbance Land Cover Types for the Gulf Coast Prairie LCC Dynamic Grassland Decision Support Tool Final Report: Initial Development of Grassland Decision Support Tools for the Gulf Coast Prairie Landscape Conservation Cooperative LANDFIRE Existing Vegetation Cover for the Gulf Coast Prairie LCC