Filters: Tags: State agencies (X) > partyWithName: LCC Network Data Steward (X) > partyWithName: Gulf Coast Prairie Landscape Conservation Cooperative (X) > partyWithName: Stephen B Hartley (X)
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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,
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....
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2015,
Complete,
Data,
EARTH SCIENCE,
EARTH SCIENCE > LAND SURFACE,
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...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Complete,
Data,
EARTH SCIENCE,
EARTH SCIENCE,
EARTH SCIENCE > LAND SURFACE,
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