Spatial-temporal water area monitoring of the Miyun Reservoir using remote sensing imagery from 1984 to 2020

Changda Liu, Hairong Tang, L. Ji, Yongchao Zhao
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Abstract

Miyun Reservoir has produced huge benefits in flood control, agricultural irrigation, power generation, aquaculture, tourism, and urban water supply. Accurately water mapping is of great significance to the ecological environment monitoring of the Miyun Reservoir and the management of the South-to-North Water Diversion Project. On the 60th anniversary of the completion of the Miyun Reservoir, we took the Miyun Reservoir as the study area and collected all the Landsat-5 and Landsat-8 remote sensing images from 1984 to 2020 for water mapping. Based on the spectral, topographical and temporal-spatial characteristics of water, we proposed an automated method for long-term researvoir mapping, which can solve the problems caused by cloud, shadow, ice and snow pixels. Moreover, it can also deal with 'the same objects with different spectra' and spectral mixed problems. The overall accuracy is as high as 98.2% for the case with no cloud or snow/ice cover. The landscape division index is introduced to analyze the morphological changes of Miyun Reservoir. Based on the mapping results, we analyzed the changes of Miyun Reservoir from 1984 to 2020 and the driving factors of them.
1984 - 2020年密云水库时空水区遥感监测
密云水库在防洪、农业灌溉、发电、水产养殖、旅游、城市供水等方面产生了巨大效益。准确的水图绘制对密云水库生态环境监测和南水北调工程管理具有重要意义。在密云水库建成60周年之际,我们以密云水库为研究区,收集了1984 - 2020年所有Landsat-5和Landsat-8遥感影像进行水资源制图。基于水体的光谱特征、地形特征和时空特征,提出了一种解决云、影、冰雪像元问题的水库长期自动成图方法。此外,它还可以处理“同一目标不同光谱”和光谱混合问题。在无云或冰雪覆盖的情况下,总体精度高达98.2%。引入景观划分指数对密云水库的形态变化进行分析。在此基础上,分析了密云水库1984 - 2020年的变化及其驱动因素。
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