The Extraction of Water Body Information from TM Imagery Based on Water Quality Types
CHEN Lei1,2, DENG Ru-ru1, CHEN Qi-dong1, HE Ying-qing1, QIN Yan1, LOU Quan-sheng2
1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China; 2. South China Sea Marine Engineering and Environment Institute, SOA, Guangzhou 510300, China
Abstract:The lightness values of three types of water, i.e. ordinary, eutrophic and seriously polluted, and vegetation in the shadow of the hill were analyzed in this paper. The results show that the lightness value of TM4 is lower than that of TM3 for ordinary water, whereas things are opposite for vegetation in the shadow of the hill; the eutrophic water contaminated by phytoplankton has strong reflection in TM4, and seriously polluted water has strong absorption in visible band, which the lightness value of TM4 is higher than that of TM3. Thus the eutrophic and polluted water couldn’t be distinguished from vegetation in the shadow of the hill by comparison between TM3 and TM4. According to the extraction method of classification of water quality type the spectral characteristics of the water,the authors set up the thresholds to distinguish various types of water quality, vegetation in the shadow of the hill and other ground objects,and extracted the water distribution information from TM imagery quickly,accurately and efficiently.
陈蕾, 邓孺孺, 陈启东, 何颖清, 秦雁, 娄全胜. 基于水质类型的TM图像水体信息提取[J]. 国土资源遥感, 2012, 24(1): 90-94.
CHEN Lei, DENG Ru-ru, CHEN Qi-dong, HE Ying-qing, QIN Yan, LOU Quan-sheng. The Extraction of Water Body Information from TM Imagery Based on Water Quality Types. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(1): 90-94.