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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, All tags...
Phragmites australis,
Template 588,
Template 67,
Template 68,
U.S. Great Lakes coastal zone,
forecasting invasive phragmites corridor,
invasive species,
remote sensing, Fewer tags
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The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.
Tags: Aquatic Biology,
Ecology,
Great Lakes Basin,
Land Use Change,
Remote Sensing, All tags...
USGS Science Data Catalog (SDC),
imageryBaseMapsEarthCover,
invasive species,
land use and land cover,
wetlands, Fewer tags
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The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.This map covers the Southern portion...
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The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.This map covers the Green Bay peninsula...
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The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.This map covers the coastal regions...
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