Remote Sensing Information Extraction of Zhangjiangkou Mangrove based on the Spectral Characteristics

摘要：

Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University,Fuzhou, China, 350002 Mangroves, distributed over the coastal intertidal zone, have a composite spectral characteristic of water, vegetation and soil. The extraction of mangroves is ineffective using conventional remote sensing unsupervised, supervised classification methods. In this paper, using Landsat ETIM + as data source, normalized index images such as NDVI, NDBI, MNDWI were calculated. By analyzing ground-object spectrum characteristics, the decision tree classification of remote sensing was made to study the method of extracting mangrove. The results show that the knowledge to extract mangrove information is as followed: NDVI>0 and MNDWI>0.13. The mangrove knowledge can effectively extract mangrove. Meanwhile, the knowledge to extract mangrove information also verifies that mangrove integrates spectral characteristics of water, vegetation and soil in the remote sensing images.

关键词： Mangrove remote sensing information extraction spectral characteristics

作者: Dongshui Zhang Lixia Cong Bin Quan Zhiqiang Wang Fang Wang Xiaoqin Wang

作者单位: Geospatial Information Institute, Hunan University of Science and Technology, Xiangtan, China, 41120 Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou Unive

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 619-622

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）