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我国海岸带及其近海资源环境监测的遥感技术应用
引用本文:韩震,金亚秋,恽才兴.我国海岸带及其近海资源环境监测的遥感技术应用[J].遥感信息,2006,598(5):64-66,71,I0005.
作者姓名:韩震  金亚秋  恽才兴
作者单位:1. 复旦大学波散射与遥感信息教育部重点实验室,上海,200433;上海水产大学海洋学院,上海,200090
2. 复旦大学波散射与遥感信息教育部重点实验室,上海,200433
3. 复旦大学波散射与遥感信息教育部重点实验室,上海,200433;华东师范大学河口海岸国家重点实验室,上海,200062
基金项目:国家重点基础研究项目2001CB309401,NSFC40637033
摘    要:海岸带及其近海自身丰富的自然资源和优越的地理位置是国家经济发展的重要区域。如何利用多源、多通道、多时相、主被动融合的星载遥感数据获取海岸带及其近海资源环境信息是遥感应用技术的重要任务之一。本文依据国内外环境遥感应用技术的研究与发展,归纳了我们在我国海岸带及其近海资源环境遥感信息研究及其在国家有关工程计划中的应用,包括海岸带典型地物信息提取、淤泥质潮滩水边线信息提取、淤泥质潮滩冲淤变化、悬浮泥沙信息提取、内波信息提取。

关 键 词:海岸带及近海  资源环境监测  遥感
文章编号:1000-3177(2006)87-0064-03
收稿时间:2005-06-21
修稿时间:2005-06-21

Remote Sensing Application to Monitoring Resources and Environment in China's Coastal Zone and Near-by Ocean
HAN Zhen,JIN Ya-Qiu,YUN Cai-xing.Remote Sensing Application to Monitoring Resources and Environment in China''''s Coastal Zone and Near-by Ocean[J].Remote Sensing Information,2006,598(5):64-66,71,I0005.
Authors:HAN Zhen  JIN Ya-Qiu  YUN Cai-xing
Affiliation:1 Key Laboratory of Wave Scattering and Remote Sensing Information (Ministry of Education
Abstract:The coastal zone and its near-by ocean have been of importance for economic development due to their rich natural resources and specific geographic location. How to qualitatively and quantitatively retrieve the environment information in these areas from multi-sensor, multi-channel, multi-temporal and both active and passive satellite-borne remote sensing becomes a key issue for remote sensing application. Based on the advancement of current development of remote sensing technology, this paper briefly presents the progress of our research on information retrieval for China's costal zone and its near-by ocean, and applications in some state engineering projects, such as classification of typical canopies and surface objects of the costal zone, spatial distributions of the tidal flat waterside lines, the deposition and erosion in silt tidal flat, and the suspended sediments and internal waves.
Keywords:coastal zone  resources and environment monitoring  remote sensing
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