摘要
针对目前较少研究使用中高分辨率卫星对内陆河流污染水体进行遥感识别,使用Sentinel-2A遥感影像,基于一般水体和污染水体之间的光谱差异特征,构建了单波段阈值法、波段比值法、波段差值法和河流污染指数法,对内陆河流污染水体进行识别。通过对四种遥感识别方法的精度分析表明,河流污染指数遥感识别精度最高,为92.59%,单波段阈值法次之,为86.79%,而波段差值法对污染水体识别效果较差,仅为64.81%。在此基础上,进一步利用识别精度较高的河流污染指数对珠海市大中型河流污染水体进行遥感识别和时空变化分析。从污染水体的空间分布来看,污染主要分布在香洲区的前山水道和马骝洲水道,以及金湾区的洪鹤大桥和珠三角环线高速建设工程附近区域;从时间上来看,2019年1月和2019年9月的珠海河流污染水体面积较大,2020年1月的污染水体面积分布较小。
Currently,there are few studies on remote sensing identification of inland river pollution using medium and high resolution satellites.In order to solve the problem,four algorithms are constructed based on differences in spectral characteristics between general water bodies and polluted water bodies and their accuracy are evaluated by Sentinel-2A images.The four algorithms are single-band,band difference,band ratio and river pollution index(RPI).The river pollution index has the highest identification accuracy of 92.59%,followed by the single-band threshold method at 86.79%,and the band difference has a poor identification effect on polluted water,only 64.81%.The river pollution index is used to identify and analyze the temporal and spatial variation of large and medium-sized river polluted water bodies in Zhuhai city.From the perspective of the spatial distribution of the polluted water body,the pollutions are mainly distributed in the Qianshan waterway and Maluozhou waterway in Xiangzhou district,and in the vicinity of Honghe bridge and the Pearl River Delta Ring highway construction project areas in Jinwan district.In terms of time,the polluted water areas of Zhuhai city in January and September 2019 are relatively large,while the polluted water areas in January 2020 are relatively small.
作者
谢勇
李凯云
李家国
鲍云飞
朱利
XIE Yong;LI Kaiyun;LI Jiaguo;BAO Yunfei;ZHU Li(School of Geographical Sciences,Nanjing University of Information Science and Technology,Nanjing 210044,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China;Beijing Institute of Space Mechanics and Electricity,Beijing 100094,China;Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment,Beijing 100094,China)
出处
《遥感信息》
CSCD
北大核心
2021年第3期1-9,共9页
Remote Sensing Information
基金
高分辨率对地观测系统重大专项(06-Y30F04-9001-20/22)
国家自然科学基金项目(41971391)。
关键词
污染水体
遥感识别
Sentinel-2A
时空变化
珠海市
polluted water
remote sensing identification
Sentinel-2A
spatial and temporal variation
Zhuhai city
