投稿中心

审稿中心

编辑中心

期刊出版

网站地图

友情链接

引用本文:张寿选,段洪涛,谷孝鸿.基于水体透明度反演的太湖水生植被遥感信息提取.湖泊科学,2008,20(2):184-190. DOI:10.18307/2008.0208
ZHANG Shouxuan,DUAN Hongtao,GU Xiaohong.Remote sensing information extraction of hydrophytes based on the retrieval of water transparency in Lake Taihu, China. J. Lake Sci.2008,20(2):184-190. DOI:10.18307/2008.0208
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 7627次   下载 5626 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于水体透明度反演的太湖水生植被遥感信息提取
张寿选1,2, 段洪涛1, 谷孝鸿1
1.中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008;2.中国科学院研究生院, 北京 100049
摘要:
在使用多光谱遥感图像提取太湖水生植被分布时,由于水体中悬浮物和藻类等物质的影响,容易产生"异物同谱"现象,大面积水体被误分为沉水植被.本文首先通过TM图像反演太湖水体的透明度,基于RVI和NDVI植被指数,分别建立两类决策树,即透明度辅助的分类决策树和无透明度参与的分类决策树,将太湖分为水体、以浮叶植被为主导的水生植被和以沉水植被为主导的水生植被等三种类型.透明度辅助下的NDVI分类决策树方法,较好地消除分类过程中的"异物同谱"现象,是进行太湖水生植被分类的一种最好方法选择,把这种方法应用于2002年7月15日的Landsat ETM卫星遥感影像,结果表明太湖中以沉水植被为主导的水生植被约407.6km2,以浮叶植被为主导的水生植被约82.2km2.
关键词:  水生植被  遥感  决策树  透明度  太湖
DOI:10.18307/2008.0208
分类号:
基金项目:江苏省自然科学基金(BK2007261);国家自然科学基金(40671138);国家科技支撑计划(2007BAC26801)联合资助
Remote sensing information extraction of hydrophytes based on the retrieval of water transparency in Lake Taihu, China
ZHANG Shouxuan1,2, DUAN Hongtao1, GU Xiaohong1
1.State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P R. China;2.Graduate School of Chinese Academy of Sciences, Beijing 100049, P. P. China
Abstract:
There exists a phenomenon of different objects with a similar spectrum in the multispectral satellite images in Taihu Lake,which is caused by an influence of suspended matter and algae. So, it is easy to classify the water into submerged vegetations area bymistake. In this report, we firstly retrieved water transparency from Landsat TM image acquired on 15 July 2002. And then, thefollowing two types of decision trees were developed on the basis of the two vegetation index of RVI and NDVI: (a) atransparency-assisted decision tree, (b) a non-transparency-assisted decision tree. Finally, the lake was divided into the followingthree types: (a) the water area, (b) the submerged vegetation-dominated hydrophytes area, (c) the floating vegetation-dominatedhydrophytes area. The classification approach with transparency-assisted decision tree is a good choice to have a classification ofhydrophytes in Taihu Lake. We applied this approach into the Landsat TM image acquired on 15 July 2002. The classification resultsshowed that the submerged vegetation-dominated hydrophytes and the floating vegetation-dominated hydrophytes covered an area ofabout 407.6 km2 and 82.2 km2, respectively.
Key words:  Aquatic vegetation  remote sensing  decision tree  transparency  Lake Taihu
分享按钮