Filters: Tags: {"type":"Subject","scheme":"https://www.sciencebase.gov/vocab/category/NCCWSC/Keyword"} (X) > Categories: Map (X) > Extensions: OGC Web Service (X) > Types: Map Service (X)
3 results (11ms)
Filters
Date Range
Types Contacts
Categories Tags (with Type=Subject and Scheme=https://www.sciencebase.gov/vocab/category/NCCWSC/Keyword) |
This study area consists of a 10-km inland buffer of the U. S. Great Lakes shoreline. Islands within the lakes were included in this invasive Phragmites mapping project where remotely sensed imagery scenes were available.
Categories: Data,
Map;
Types: Map Service,
OGC WMS Layer;
Tags: Accountability,
GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
Invasive Species,
These files were used to construct corridors estimating the extent of new coastal corridors exposed by reduced lake levels. They are included here to show the available horizontal extent of lidar-derived topo-bathymetric data and thus explicitly identify gaps and limitations of predicted corridor extents under various reduced lake level scenarios. In addition, these files provide users with a background layer that depicts the topographic variability of the submerged near-shore lake bed and terrestrial landscape.These files are 5m grid representations of the hydrographic and topographic data collected by the CHARTS system along the coasts of the U.S. sides of Lake Michigan, Lake Huron, Lake St. Clair, Lake Erie,...
Categories: Data,
Map;
Types: Map Service,
OGC WMS Layer;
Tags: Mobile District,
Accountability,
Bathymetry,
CHARTS,
GLRI,
Maps of areas greater than 0.2 hectare (0.5 acre) dominated by invasive Phragmites australis were created for the coastal region (shoreline to 10 km inland) of the United States side the Great Lakes and connecting water ways. The maps were developed using unsupervised/supervised classification methods and ground truth data collected during 2010 and 2011 in conjunction with multi-season ALOS PALSAR imagery (for the remote sensing-based iterative classification process), as well as through the interpretation of aerial photography to reduce classification confusion. Overall classification accuracy compared to field data for mapping was approximately 86%.
Categories: Data,
Map;
Types: Map Service,
OGC WMS Layer;
Tags: Accountability,
GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
Invasive Species,
|
|