%0 Journal Article
%T The vegetation resource at the intertidal zone in Shanghai using remote sensing<br>上海滩涂植被资源遥感分析
%A HUANG Huamei
%A ZHANG Liquan
%A HUANG Zhanguo
%A <br>黄华梅
%A 张利权
%A 高占国
%J 生态学报
%D 2005
%I 
%X This study investigated the use of satellite remote sensing for the mapping of vegetation in the intertidal zone of the Shanghai region.A Landsat5-TM multi-spectral satellite image,dated August 2,2003,was used.The image was processed using the ERDAS Imagine 8.6 image processing software.A subset of the Landsat image was geometrically corrected.Information on the spectral properties of the vegetation were integrated with expert systems knowledge to produce a classification for the intertidal.vegetation.An extensive field survey in situ was then carried out to verify and revise the results of the image classification.The revised results of the classification were integrated using a GIS platform and the spatial distribution and quantities of the intertidal plant communities were analyzed.The results showed that the total area of the intertidal vegetation in the Shanghai region was 21302.1hm~2 and the vegetation was mostly composed of Phragmites australis communities,Scirpus mariqueter communities and Spartina alterniflora communities.There was a distinct zonation in the distribution of the intertidal vegetation communities along a gradient of altitude.The results of this research on the intertidal vegetation in Shanghai will provide a sound basis for resource management and planning,preservation of biodiversity,sustainable development and utility of wetlands in the region.
%K Shanghai
%K vegetation at the intertidal zone
%K remote sensing images
%K wetland resources
%K GIS<br>上海市
%K 滩涂植被
%K 遥感影像
%K 湿地资源
%K 地理信息系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=FE163E5DB2274E5937319DE98913EC37&aid=3CF0371BC7B2F019&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=F3090AE9B60B7ED1&sid=74410D4851FE51FB&eid=349E8AF2BCA314C4&journal_id=1000-0933&journal_name=生态学报&referenced_num=15&reference_num=31