Filters: Tags: EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION (X)10 results (128ms)
Austin and Colorado Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM)
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....
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,
Final Report: Initial Development of Grassland Decision Support Tools for the Gulf Coast Prairie Landscape Conservation Cooperative
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...
Ruderal Shrublands and Woodlands in Eastern Oklahoma
This project was funded to understand how, where, and why outputs from landscape connectivity models vary, and to suggest approaches to increase comparability and interoperability of models across Landscape Conservation Cooperative boundaries. We began by compiling metadata from 73 landscape connectivity modeling projects into an online, editable spreadsheet. Using spatial data from a subset of studies included in the database, we conducted an uncertainty analysis to understand how much spatial variation there was among predictions from different landscape connectivity models. Raw outputs from the original models showed relatively little overlap, averaging about 3% across all pairs of studies. However, when a common...
Dynamic Tool for the Grassland Decision Support Tool project.
County summaries from the Oklahoma Ecological Classification System map.
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.
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.
LANDFIRE Existing Vegetation Cover data (us_130evc) clipped to the Gulf Coast Prairie LCC