Deepwater Horizon MC252 response data from the Environmental Response Management Application (ERMA) containing National Environmental Satellite, Data, and Information Service (NESDIS) Synthetic Aperture Radar (SAR) composite days of oiling collected from 2010-04-01 to 2010-08-31 in the Northern Gulf of Mexico (NCEI Accession 0163805)

This Archival Information Package (AIP) contains Environmental Response Management Application (ERMA) GIS layers that are a compilation of all the individual Texture Classifying Neural Network Algorithm (TCNNA) days from Synthetic Aperture Radar (SAR) satellite polygons that were collected during the Deepwater Horizon oil spill in the Northern Gulf of Mexico. Daily polygons were converted to rasters with 50m cell size and added together using ArcGIS tools to output a cumulative days of oiling raster. These data were collected during the response to the Mississippi Canyon 252 Deepwater Horizon oil spill in the Northern Gulf of Mexico and used as part of the Programmatic Damage Assessment and Restoration Plan (PDARP).

本档案信息包（Archival Information Package, AIP）包含环境响应管理应用（Environmental Response Management Application, ERMA）的地理信息系统（GIS）图层，该图层汇总了墨西哥湾北部深水地平线漏油事件期间收集的全部由合成孔径雷达（Synthetic Aperture Radar, SAR）卫星多边形生成的纹理分类神经网络算法（Texture Classifying Neural Network Algorithm, TCNNA）单日数据。随后将单日卫星多边形转换为像元尺寸为50米的栅格数据，并通过ArcGIS工具进行叠加运算，最终生成溢油累积天数栅格。本数据集采集自墨西哥湾北部密西西比峡谷252号井的深水地平线漏油事件应急响应工作，曾作为项目性损害评估与修复计划（Programmatic Damage Assessment and Restoration Plan, PDARP）的组成部分投入使用。