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:徐京萍,张柏,李方,宋开山,王宗明.基于MODIS数据的太湖藻华水体识别模式.湖泊科学,2008,20(2):191-195. DOI:10.18307/2008.0209
XU Jingping,ZHANG Bai,LI Fang,SONG Kaishan,WANG Zongming.Detecting modes of cyanobacteria bloom using MODIS data in Lake Taihu. J. Lake Sci.2008,20(2):191-195. DOI:10.18307/2008.0209
【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 3093次   下载 2359 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于MODIS数据的太湖藻华水体识别模式
徐京萍1,2, 张柏3, 李方3, 宋开山3, 王宗明3
1.中国科学院东北地理与农业生态研究所, 长春 130012;2.中国科学院研究生院, 北京 100049;3.国家卫星海洋应用中心, 北京 100081
摘要:
针对2007年5月太湖爆发的蓝藻水华事件,利用MODIS植被指数数据对其进行遥感监测.结果表明:MODIS数据可成功提取蓝藻水华信息.近红外/红光波段比值识别模式和植被指数NDVI值、EVI值识别模式均可确定蓝藻分布范围,但前两者不易将高浑浊水体区分开来,或不易识别低蓝藻分布区域,因此易扩大或缩小蓝藻分布范围;而后者由于引入了背景调节参数,可有效抑制背景水体及泥沙的影响,因此根据EVI值得到的蓝藻范围及强度较为真实的反映了藻华情况.该研究可为今后利用遥感技术,建立太湖蓝藻水华监测系统奠定基础.
关键词:  蓝藻  MODIS  太湖
DOI:10.18307/2008.0209
分类号:
基金项目:中国科学院知识创新工程项目(KZCX3-SW-356);吉林省与中国科学院科技合作项目联合资助
Detecting modes of cyanobacteria bloom using MODIS data in Lake Taihu
XU Jingping,ZHANG Bai,LI Fang,SONG Kaishan,WANG Zongming
1.Northeast Institute of Geography and Agricultural Ecology, Chinese Academy Sciences, Changchun 130012, P. R. China;2.Graduate School of Chinese Academy Sciences, Beijing 100049, P. R. China
Abstract:
Detection of cyanbacteria blooms in Taihu using vegetation index data from MODIS was carried out since cyanbacteriablooms broke out in May 2007. The results showed that MODIS was able to detect cyanobacteria bloom effectively. Algorithm ofband ratio between infrared and red band and values of NDVI or EVI can be used to analyze the distribution of algae. However, theformer two were difficult to distinguish high-turbid water from algae or identify areas with low density of cyanbacteria, whichresulted in the magnified or reduced areas of algae, while the latter one could constrain background noise properly mainly from waterand suspended matter. Therefore, based on the digital number values (DNs) of EVI band, an approximately actual distribution ofalgae was induced. The study showed that satellite observations could be effectively applied to cyanobacteria bloom real-timemonitoring system for Lake Taihu.
Key words:  Cyanobacteria bloom  MODIS  Lake Taihu
分享按钮