基于Sentinel-2MSI数据的湖泊水质分析图像处理

Srikrishna B.R, R. Sivakumar
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引用次数: 1

摘要

近几十年来,由于城市化进程的加快和人类活动的高度影响,湖泊水资源日益恶化和减少。湖泊是地球系统的重要生态资产。对水资源进行监测是必要的。由于covid-19大流行病毒的传播,全球范围内实施了停工,所有活动都停止了,从而恢复了自然及其环境的污染。在大流行期间,不可能对水资源质量进行现场监测和评价。卫星遥感技术已用于大流行病前和大流行病期间的水质评估。结果表明,封城期间湖水水质比疫情前有所改善,湖水清澈度提高30.60%。卫星图像处理技术在这一困难时期具有估计湖泊水质的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image processing of Sentinel-2MSI data for Lake Water Quality Analysis
In recent decades lake water resources are get deteriorating and declining due to an increase in urbanization and the high effects of anthropogenic activities. Lake is an important ecological asset to the earth system. It is necessary to monitor water resources. Due to the spread of the covid-19 pandemic virus, the global range shutdown was implemented so that all the activities come to hold resulting in recovering nature and its environment from pollution. The on-site monitoring and evaluation of the quality of water resources in the pandemic period are impossible. The satellite remote sensing techniques have been used for the water quality assessment for pre-pandemic and during pandemic periods. The result suggested that there is an up-gradation in the quality of lake water in the lockdown period than the pre pandemic period i.e. 30.60% increase in lake water clarity. The satellite image processing techniques had the potential for the estimation of the lake water quality during these difficult times.
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