Filters: Categories: Map (X) > Extensions: OGC Web Service (X) > Types: Map Service (X) > partyWithName: Michigan Tech Research Institute (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types OGC WMS Layer (2) Contacts Kurt P Kowalski Great Lakes Science Center Laura Bourgeau-Chavez U.S. Fish and Wildlife Service U.S. Geological Survey - Great Lakes Science Center Categories Data (2) Tag Types Label (2) Place (2) Subject (2) Tag Schemes https://www.sciencebase.gov/vocab/category/NCCWSC/Keyword (2) https://www.sciencebase.gov/vocab/category/Great%20Lakes%20Restoration%20Initiative/GLRITemplates (2) https://www.sciencebase.gov/vocab/category/Great%20Lakes%20Restoration%20Initiative/GLRIFocusArea (2) https://www.sciencebase.gov/vocab/category/NCCWSC/Location (1) View Results as: JSON ATOM CSV

Forecasting Potential Phragmites Coastal Invasion Corridors Study Area Extent 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, All tags... PALSAR imagery, Template 588, Template 67, Template 68, invasive species, invasive wetland plants, phragmites, shoreline, Fewer tags Invasive Phragmites Stands 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