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Mapping spatio-temporal flood inundation dynamics at large river basin scale using time-series flow data and MODIS imagery

机译:使用时间序列流数据和MODIS影像绘制大流域尺度时空洪水泛滥动态

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Flood inundation is crucial to the survival and prosperity of flora and fauna communities in floodplain and wetland ecosystems. This study tried to map flood inundation characteristics in the Murray-Darling Basin, Australia, utilizing hydrological and remotely sensed data. It integrated river flow time series and Moderate Resolution Imaging Spectroradiometer (MODIS) images to map inundation dynamics over the study area on both temporal and spatial dimensions. Flow data were analyzed to derive flow peaks and Annual Exceedance Probabilities (AEPs) using the annual flood series method. The peaks were linked with MODIS images for inundation detection. Ten annual maximum inundation maps were generated for water years 2001 -2010, which were then overlaid to derive an inundation frequency map. AEPs were also combined with the annual maximum inundation maps to derive an inundation probability map. The resultant maps revealed spatial and temporal patterns of flood inundation in the basin, which will benefit ecological and environmental studies when considering response of floodplain and wetland ecosystems to flood inundation.
机译:洪水泛滥对于洪泛区和湿地生态系统中动植物群落的生存和繁荣至关重要。这项研究试图利用水文和遥感数据绘制澳大利亚默里-达令盆地的洪水泛滥特征图。它集成了河流流量时间序列和中分辨率成像光谱仪(MODIS)图像,以在研究区域内的时间和空间维度上绘制淹没动态。使用年度洪水序列方法对流量数据进行分析,以得出流量峰值和年度超标概率(AEP)。将峰与MODIS图像链接以进行淹没检测。生成了2001年至2010年水年度的十个年度最大淹没图,然后将其叠加以得出淹没频率图。 AEP还与年度最大淹没图相结合以得出淹没概率图。由此产生的地图揭示了流域洪水泛滥的时空格局,在考虑洪泛区和湿地生态系统对洪水泛滥的响应时,将有利于生态和环境研究。

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