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Combined use of Sentinel-2 and Landsat 8 to monitor water surface area dynamics using Google Earth Engine
Remote Sensing Letters ( IF 2.3 ) Pub Date : 2020-05-28 , DOI: 10.1080/2150704x.2020.1757780
Xiucheng Yang 1 , Yang Chen 2 , Jingzhe Wang 3
Affiliation  

Detecting the water surface area and its temporal changes is essential in water resource management. Multispectral satellite data are applied extensively to monitor the surface water dynamics because of their repeated coverage. This letter monitors waterbody dynamics in a high temporal resolution from Sentinel-2 and Landsat 8 images by using the Google Earth Engine (GEE) platform. Water index, automatic threshold and postprocessing of noise elimination are used to extract the water pixels from the background. Taking a part of the middle reaches of the Yangtze River (100km×100km) as a case study, the surface water dynamics are estimated by 47 dates from February 2017 to November 2019. The popular JRC Global Surface Water database includes 8 qualified monthly maps for the study area in 2017 and 2018, while our results display 32 maps covering 18 months. The surface water dynamic maps obtain an overall accuracy of 92.5% (using random sample points) and 82.0% (using manual-drawing thematic map). Also, water occurrence is calculated based on the water dynamics to indicate the permanent, seasonal and flooding areas. The high temporal dynamics of surface water are meaningful for the analysis of ephemeral lake and inundation extent.



中文翻译:

使用Google Earth Engine结合使用Sentinel-2和Landsat 8监视水表面积动态

检测水表面积及其时间变化对于水资源管理至关重要。由于多光谱卫星数据重复覆盖,因此广泛应用于监视地表水动力学。这封信使用Google Earth Engine(GEE)平台,以高时间分辨率从Sentinel-2和Landsat 8图像监视水体动态。使用水指数,自动阈值和噪声消除后处理来从背景中提取水像素。占据长江中游的一部分(100ķ×100ķ)作为案例研究,从2017年2月到2019年11月,估计有47个日期的地表水动力学。广受欢迎的JRC全球地表水数据库包括2017年和2018年研究区域的8张合格月度地图,而我们的结果显示了32张地图,涵盖了18个月。地表水动态图的总体精度为92.5%(使用随机采样点)和82.0%(使用手动绘制的专题图)。而且,根据水的动力学来计算出水量,以指示永久性,季节性和洪水区域。地表水的高时空动态对于分析短暂湖和淹没程度具有重要意义。

更新日期:2020-05-28
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