Filters: Tags: Data.gov Gulf Coast Prairie Landscape Conservation Cooperative (X) > partyWithName: David Diamond (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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Complete,
Conservation NGOs,
Data,
Data.gov Gulf Coast Prairie Landscape Conservation Cooperative,
EARTH SCIENCE,
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....
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...
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).
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Complete,
Conservation NGOs,
Data,
Data.gov Gulf Coast Prairie Landscape Conservation Cooperative,
EARTH SCIENCE,
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Academics & scientific researchers,
Conservation NGOs,
Data,
Data.gov Gulf Coast Prairie Landscape Conservation Cooperative,
EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION,
Ruderal Shrublands and Woodlands in Eastern Oklahoma
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....
County summaries from the Oklahoma Ecological Classification System map.
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.
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...
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