Skip to main content
Advanced Search

Filters: Tags: {"type":"theme","name":"land surface"} (X) > partyWithName: Gulf Coast Prairie Landscape Conservation Cooperative (X)

18 results (21ms)   

View Results as: JSON ATOM CSV
thumbnail
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...
thumbnail
Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial...
thumbnail
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).
thumbnail
The Gulf Coast Vulnerability Assessment (GCVA) used an expert opinion approach to qualitatively assess the vulnerability of four ecosystems: mangrove, oyster reef, tidal emergent marsh, and barrier islands, and a suite of wildlife species that depend on them. More than 50 individuals participated in the completion of the GCVA, facilitated via Ecosystem and Species Expert Teams. The GCVA made use of the Standardized Index of Vulnerability and Value Assessment (SIVVA) (Reece and Noss 2014) to provide an objective framework for evaluating vulnerability by guiding assessors through a series of questions related to the changes an ecosystem or species might experience due to climate change and other threats. Assessors...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, BARRIER ISLANDS, BIOSPHERE, BIOSPHERE, Barrier Islands, All tags...
thumbnail
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...
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....
thumbnail
There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the ‘Data Quality Information’ section of this metadata report. Shoreline vectors derived from historic...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Academics & scientific researchers, Alabama, Baseline, Beach Erosion, Beach Nourishment, All tags...
thumbnail
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...
thumbnail
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...
thumbnail
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....
thumbnail
Fragile barrier islands are important nesting habitat for focal species of the Gulf Coast Prairie Landscape Conservation Cooperative, such as brown pelicans, sea turtles, and black skimmers. Assessing the vulnerability of coastal ecosystems at a Gulf of Mexico-wide scale has become even more important in the wake of several destructive storms (e.g. Katrina, Rita, and Ike) and the 2010 Deepwater Horizon oil spill.
thumbnail
These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center’s efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation’s coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr.These...
thumbnail
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...
thumbnail
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.
thumbnail
The Gulf Coast Vulnerability Assessment utilized expert opinion that was gathered through the Standardized Index of Vulnerability and Value (SIVVA) tool, which is an Excel-based vulnerability and prioritization tool that enables assessors to provide input in a relatively short time and allows for relatively seamless compilation of results.The vulnerability of each ecosystem and associated species was conducted by subregion, excluding those subregions where the species did not occur in significant numbers. Assessors were asked to evaluate species based on the habitats they use in a particular subregion. Because vulnerability can vary with life-stage for many species, assessors were asked to consider the most vulnerable...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/INVERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, All tags...
thumbnail
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...
thumbnail
This project, part of a broader effort called the Gulf Coast Vulnerability Assessment, involved identifying gaps in data and integrating datasets and corresponding metadata required for a Gulf of Mexico-wide assessment of conditions and variables affecting barrier island vulnerability. Morphologic and geospatial datasets were later incorporated into the Conservation Planning Atlas, an emerging technology that makes a vast amount of geospatial data more easily accessible and available at no cost to conservation partners.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, AL-01, AL-01, AL-02, AL-02, All tags...
thumbnail
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 Barrier Island Vulnerability Data Integration and Assessment Connecting Advanced Land Cover for Improved Biological Planning and Conservation Design High resolution landcover for the Western Gulf Coastal Plain of Louisiana and Texas Beach Nourishment in the Gulf of Mexico Historical Changes in Shoreline in the Gulf of Mexico Final Report - Barrier-Island Vulnerability: Data Integration and Assessment Prairie Landscapes Ranks in the Gulf Coast Prairie LCC Wilson & Karnes Counties in Texas - Digital Elevation Models (DEM) and Digital Surface Models (DSM) NOAA Sea Level Rise Data Grassland priority rankings model for the Western Gulf Coastal Plain of Louisiana High resolution landcover for the Western Gulf Coastal Plain of Louisiana Gulf Coast Vulnerability Assessment Gulf of Mexico Habitat and Species Vulnerability 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) 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 Beach Nourishment in the Gulf of Mexico Historical Changes in Shoreline in the Gulf of Mexico Prairie Landscapes Ranks in the Gulf Coast Prairie LCC NOAA Sea Level Rise Data Gulf Coast Vulnerability Assessment Gulf of Mexico Habitat and Species Vulnerability Barrier Island Vulnerability Data Integration and Assessment Final Report - Barrier-Island Vulnerability: Data Integration and Assessment