南京信息工程大学学报Issue(6)：501-507,7.
结合潮位信息的红树林遥感识别
Remote sensing identification of mangrove forest combined tidal level information
摘要
Abstract
It is difficult to distinguish mangrove from terrestrial vegetation or the mixed pixels of water and terrestri-al vegetation due to the coastal wetland habit of mangrove. Moreover,the tide change also causes the change in spa-tial distribution characteristics of mangrove in remotely sensed imagery. Therefore,it is very difficult to precisely ex-tract the spatial mangrove information by means of the remote sensing imagery of single tide,which was usually a-dopted yet. Nevertheless the mangrove resides in coastal wetland,where the tide level varies periodically. In order to solve the problem,it was attempted to make good use of the unique habit characteristics of mangrove based on Land-sat TM remote sensing images of both high tide level and low tide level. The analysis results show that the separabil-ity between mangrove and the other objects are very good through WIL+WIH,GVIL and GVIL-GVIH,which are de-veloped by the tidal range information and tasseled cap transformation. Note that WI and GVI stand for wetness in-dex and greenness vegetation index,respectively;while the subscripted L and H stand for low tide and high tide,re-spectively. The maximum likelihood classifier,an unsupervised classification method,was used to identify mangrove. The classification features based on the tidal range information,greenness index and wetness index can accurately map mangrove forest,and the producer�s accuracy and user�s accuracy of mangrove are 94�57% and 98�8%,re-spectively.关键词
红树林/潮位/TM影像/遥感识别Key words
mangrove/tide level/TM/remote sensing identification分类
信息技术与安全科学引用本文复制引用
张雪红,周杰,魏瑗瑗,朱晔..结合潮位信息的红树林遥感识别[J].南京信息工程大学学报,2013,(6):501-507,7.基金项目
国家自然科学青年基金（41201461）；南京信息工程大学大学生实践创新训练计划（201310300143）；江苏省高校优势学科建设工程（ PADD）项目 （）
