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首页> 外文会议>Envisat Symposium >FLOOD EXTENT PREDICTION FROM LAKE HEIGHTS AND WATER LEVEL ESTIMATION FROM FLOOD EXTENTS USING RIVER GAUGES, ELEVATION MODELS AND ENVISAT DATA
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FLOOD EXTENT PREDICTION FROM LAKE HEIGHTS AND WATER LEVEL ESTIMATION FROM FLOOD EXTENTS USING RIVER GAUGES, ELEVATION MODELS AND ENVISAT DATA

机译：利用河流仪表，海拔模型和envisat数据，洪水区湖高度和水位估算的洪水范围预测

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摘要

Water levels and water extents are essential information in flood monitoring and forecasting. Two experimental and complementary ways were explored in order to estimate water level and water extent and forecast them: 1) The estimation of water level through combining water extents derived from earth observation data with elevation from a Digital Elevation Model; 2) The estimation of flood extents with respect to water levels by combining water levels recorded at a reference gauge station with the corresponding water extents derived from earth observation data. The results are very promising. The average error of estimated water level near the Hukou gauge station (north of the Poyang Lake) is about 1.26 meters using low and medium resolution ENVISAT products combined with 3 arc second SRTM DEM. Also, a first flood extent forecast map was estimated using ENVISAT low and medium resolution data and water levels recorded at Hukou gauge station.
机译：水平和水分区是洪水监测和预测中的基本信息。探索了两种实验和互补方式，以估计水位和水范围，预测它们：1）通过将来自地球观测数据的水分与数字高度模型的升降组合来估计水位; 2）通过将记录在参考量电台的水位与来自地球观测数据的相应水分器组合来估计水平的洪水距离。结果非常有前途。 Hukou Cauge站附近的估计水位的平均误差（鄱阳湖北部）约为1.26米，使用低频分辨率设想与3个弧第二SRTM DEM相结合。此外，使用在Hukou Cauge站记录的Envisat Low和中分辨率数据和水平估计第一洪水范围预测图。

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