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Surface Water Area Mapping in Huai River Basin Over the Past Three Decades from Landsat Imagery based on Google Earth Engine

机译:基于Google Earth Engine的Landsat影像近十年淮河流域地表水面积测绘。

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Accurate mapping of Dynamics of surface water is essential for supporting sustainable water source management and socio-economic development. To obtain a dynamic map of surface water, we obtained all available Landsat TM, ETM+, and OLI images (16760 scenes) of Huai River Basin from 1989 to 2017 based on Google Earth Engine (GEE) platform. The water surface extraction method combining vegetation index and water index was used to map the spatio-temporal pattern of the surface water body. Results show as follows: (1) the maximum, average and seasonal surface water area in the Huai River Basin shows a downward trend in the past three decades, but the minimum surface water area shows a slight upward trend; (2) both the number of maximum and the minimum surface water body show a downward trend in the past three decades; (3) the changes of numbers of surface water bodies are mainly depended on the number of small surface water bodies, and the changes in the area of water bodies are mainly controlled by larger surface water bodies area. The results of the Surface water mapping are expected to provide detailed information for optimizing water structure and water source management which are critical issues in this region.
机译:准确绘制地表水动力学图对于支持可持续的水源管理和社会经济发展至关重要。为了获得地表水的动态图,我们基于Google Earth Engine(GEE)平台,获取了1989年至2017年淮河流域的所有可用Landsat TM,ETM +和OLI图像(16760个场景)。结合植被指数和水分指数的水面提取方法,绘制了地表水体的时空分布图。结果表明:(1)淮河流域近三十年来最大,平均和季节性地表水面积呈下降趋势,而最小地表水面积呈小幅上升趋势。 (2)在过去的三十年中,最大和最小地表水体数量均呈下降趋势; (3)地表水体数量的变化主要取决于小地表水体的数量,水体面积的变化主要受地表水体面积的较大控制。预期地表水测绘的结果将为优化水结构和水源管理提供详细信息,这是该地区的关键问题。

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