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基于PlanetScope影像的广西钦州市黑臭水体识别方法研究

REMOTE SENSING IDENTIFICATION OF URBAN BLACK AND ODOROUS WATER BODY BASED ON PLANETSCOPE IMAGES: A CASE STUDY IN QINZHOU,GUANGXI

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【作者】 姚焕玫卢燕南龚祝清

【Author】 YAO Huan-mei;LU Yan-nan;GONG Zhu-qing;School of Resources,Environment and Materials,Guangxi University;

【通讯作者】 卢燕南;

【机构】 广西大学资源环境与材料学院

【摘要】 城市黑臭水体实质上是由环境保护和城市建设两者发展不平衡产生的,也是我国当下生态环境保护工作的重点之一。针对城市黑臭水体监测评价这一热点难点展开研究,以钦州市主城区为研究区域,以高频次重访的高空间分辨PlanetScope遥感影像为数据源,结合两期的实地采样数据,分析黑臭水体表观光学特性,利用黑臭水体与一般水体光谱曲线差异特征,提出近红外(NIR)单波段阈值法、HI指数法、EHI指数法和NDBWI指数法以及基于色度法的饱和度识别算法。城市黑臭水体与一般水体在蓝、绿和红波段(455~670 nm)的相同点是反射率偏低,不同点在于一般水体在455~670 nm处的光谱曲线斜率高于黑臭水体,在红波段处反射率达到极大值,在红波段和近红外波段开始下降,而黑臭水体此波段范围内反射率开始大幅升高。识别结果表明,NIR单波段阈值法识别准确率较低,存在较大偏差;HI指数识别准确率为57. 14%; EHI指数和饱和度法对黑臭水体的识别准确率均为78. 57%; NDBWI指数的识别准确率最高,达90%以上。

【Abstract】 Urban black and odorous water body is usually caused by the imbalance development between environment protection and city construction,and it has been one of the focuses of ecological environmental protection work in China recently. This paper focuses on monitoring and evaluation methodology of urban black and odorous water body based on remote sensing technology,and carried out field work in central downtown in Qinzhou,Guangxi. In this paper,5 arithmetic,which are NIR reflectance threshold method,HI arithmetic,EHI arithmetic,NDBWI arithmetic and saturation index based on CIE method,for recognizing black and odorous water body are proposed. The results are as follow: 1) the similarity of normal water and black-odorous water body is low reflectance in blue,green and red bands( 455 ~ 670 nm). The difference is that the slope of the spectral curve in 455 ~ 670 nm bands of the general water body is higher than the black-odorous water. The high peak reflectance of normal water appears at red band and go down in range of red and NIR bands,while the spectrum of blackodorous water appears a high peak at red band and goes up in the range of red and NIR bands. 2) The recognition results show that the NIR reflectance threshold method has low recognition accuracy and large deviation,and the HI index recognition accuracy is 57. 14%. The recognition accuracy of EHI index and saturation method for black odor water are 78. 57%. The NDBWI index has the highest recognition accuracy rate of 90% above.

  • 【文献出处】 环境工程 ,Environmental Engineering , 编辑部邮箱 ,2019年10期
  • 【分类号】X52
  • 【被引频次】7
  • 【下载频次】378
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