Habitat map of mangrove, marsh and vegetative change derived from WorldView-2 and Landsat-8 satellite imagery for Rookery Bay, Florida 2010-2018

Habitat maps of the Rookery Bay National Estuarine Research Reserve were created using WorldView-2 and Landsat-8 satellite imagery from 2010-2018. Landsat images were mapped using the Support Vector Machine machine learning method in ENVI, and WorldView images were mapped using a preliminary version of the SOALCHI decision tree algorithm. Habitats mapped include healthy mangrove, degraded mangrove, marsh, upland vegetation, soil, and water. Changes in habitats record damage caused by Hurricane Irma in September of 2017 as it made landfall in the reserve as a Category 4 storm. This data set is mosaicked georeferenced TIFF (.GeoTiff) files using all images from the month and year indicated by the filename. Time ranges from March 2013 to November 2018. This dataset also includes the .aux, ,cpg, .dbf,.tfw, and .ovr files exported with the TIFF image.本数据集基于2010至2018年的WorldView-2与Landsat-8卫星影像，生成了罗利湾国家河口研究保护区（Rookery Bay National Estuarine Research Reserve）的生境地图。研究团队借助ENVI软件中的支持向量机（Support Vector Machine）机器学习方法完成Landsat影像的分类解译，而WorldView影像则采用SOALCHI决策树算法的预发布版本开展分类解译。本次解译涵盖的生境类型包括健康红树林、退化红树林、沼泽、高地植被、土壤与水体。生境分布的变化记录了2017年9月四级飓风艾尔玛（Hurricane Irma）以四级强度登陆该保护区所造成的生态破坏。本数据集为经地理配准的镶嵌式GeoTIFF（.GeoTIFF）文件，其数据来源为文件名所标注年月的全部影像，时间跨度为2013年3月至2018年11月。该数据集还包含与TIFF影像一同导出的.aux、.cpg、.dbf、.tfw及.ovr辅助文件。