Application of time series of remotely sensed normalized difference water, vegetation and moisture indices in characterizing flood dynamics of large-scale arid zone floodplains

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• 作者：Abbas Mohammadi ; ^{abbasm@student.unimelb.edu.au} ; Justin Francis Costelloe ^{jcost@unimelb.edu.au} ; Dongryeol Ryu ^{dryu@unimelb.edu.au}
• 关键词：Flood ; Large scale ; Arid zone ; Modis ; Time series ; NDVI ; mNDWI ; LSWI ; Cooper Creek
• 刊名：Remote Sensing of Environment
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：190
• 期：Complete
• 页码：70-82
• 全文大小：2911 K
• 卷排序：190

文摘

Daily MODIS images can be utilized to characterize large scale flooding dynamics. Mapping open water and vegetation provides more information on flooding extent. Low spatial resolution of MODIS is a major limitation in mapping small floods. Time-series of multiple indices improves understanding of arid zone flood dynamics.