Deepwater Horizon MC252 cumulative oiling workgroup data from the Environmental Response Management Application (ERMA) containing Texture Classifying Neural Network Algorithm (TCNNA) from Synthetic Aperture Radar (SAR) image polygons and National Environmental Satellite, Data, and Information Service (NESDIS) image polygons, and related data that helped responders delineate cumulative areas of oiling collected between April 23, 2010 to August 11, 2010 during the DWH response in the Northern Gulf of Mexico (NCEI Accession 0163807)
This Archival Information Package (AIP) contains Environmental Resource Management Application (ERMA) GIS layers that represent a variety of cumulative oiling datasets including the Texture Classifying Neural Network Algorithm (TCNNA) from Synthetic Aperture Radar (SAR) satellite polygon layers cove...
| Format: | Dataset |
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| Language: | unknown |
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NOAA NCEI Environmental Data Archive
2017
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| Online Access: | https://search.dataone.org/view/{313114ED-6D9B-41E5-B2E1-B4FA5A2097EA} |
| Summary: | This Archival Information Package (AIP) contains Environmental Resource Management Application (ERMA) GIS layers that represent a variety of cumulative oiling datasets including the Texture Classifying Neural Network Algorithm (TCNNA) from Synthetic Aperture Radar (SAR) satellite polygon layers covering the entire US Gulf of Mexico coastline, cumulative National Environmental Satellite, Data, and Information Service (NESDIS) composite image polygons, and other related datasets that supported the cumulative oiling workgroup response activities in conjunction with the Mississippi Canyon 252 incident. These data were used as part of the Programmatic Damage Assessment and Restoration Plan (PDARP). |
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