A remote sensing method for estimating regional reservoir area and evaporative loss
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A remote sensing method for estimating regional reservoir area and evaporative loss

机译:一种估算区域储层区域和蒸发损失的遥感方法

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Highlights?Evaporation from 200 reservoirs is equivalent to 53% of total water use in Texas.?Reservoir evaporative loss could exceed required minimum environmental flow.?The performance of MNDWI is spatially variable.?Google Earth Engine enables geospatial big data analysis for reservoir mapping.AbstractEvaporation from the water surface of a reservoir can significantly affect its function of ensuring the availability and temporal stability of water supply. Current estimations of reservoir evaporative loss are dependent on water area derived from a reservoir storage-area curve. Such curves are unavailable if the reservoir is located in a data-sparse region or questionable if long-term sedimentation has changed the original elevation-area relationship. We propose a remote sensing framework to estimate reservoir evaporative loss at the regional scale. This framework uses a multispectral water index to extract reserv
机译:<![CDATA [ 亮点 蒸发从200个储层等效于德克萨斯用水总量的53% <?CE:对ID = “P0010” 视图= “所有”>水库蒸发损失可能超过所需的最小生态流量 MNDWI的性能是空间变量 谷歌地球引擎使得地理空间大数据分析储层mappi纳克 抽象 < CE:简单 - 对ID =“sp0010”视图=“所有”>蒸发从储的水面可显著影响其保证的可用性和供水的时间稳定性的功能。储蒸发损失的当前估计依赖于从储存储区域曲线得到水区。如果贮存器定位在数据稀疏区域或可疑如果长期沉淀,改变了原来的海拔区关系这样的曲线是不可用的。我们提出了一个遥感框架在区域规模估算水库蒸发损失。这个框架使用多光谱水索引来提取RESERV

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