Remote Sensing Identification of Heavily Polluted Water in Urban Areas

doi:10.13474/j.cnki.11-2246.2018.0143

Abstract

Abstract:

The remediation of polluted water is of great significance to the good water environment of the city.Based on the formation mechanism of polluted water,the remote sensing identification model of polluted water bodies is constructed,and the rapid and efficient extraction of polluted water bodies is realized.This paper takes Yinchuan city as the study area to carry out the remote sensing identification of Yinchuan polluted water and field validation.The verification results show that the remote sensing identification accuracy of polluted water can reach 62.96%,which can be used to identify twelve polluted waters in Yinchuan City,which will provide references for the remediation of polluted water in Yinchuan.In order to improve the remote sensing accuracy of polluted water recognition,we also analyzed the reasons that affect the accuracy in this paper.Since it is the first time for the remote sensing to identify polluted water,the identification accuracy is not high.After the research work,we will continue to study other indicators to improve the accuracy.

Key words: remote sensing identification, polluted water, formation mechanism of polluted water

CLC Number:

P237

LI Jiaqi, DAI Huayang, LI Jiaguo, ZHU Li, ZHOU Yaming. Remote Sensing Identification of Heavily Polluted Water in Urban Areas[J]. 测绘通报, 2018, 0(5): 54-58,140.

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