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 Servi

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).