Title: Deriving Exclusion Maps from C-Band Sar Time-Series: An Additional Information Layer for Sar-Based Flood Extent Mapping
Authors: Zhao, Jie 
Chini, Marco 
Pelich, Ramona 
Matgen, Patrick 
Hostache, Renaud  
Cao, Senmao 
Wagner, Wolfgang  
Issue Date: 3-Aug-2020
Book Title: XXIV ISPRS Congress, Commission I 
Change detection has been widely used in many flood-mapping algorithms using pairs of Synthetic Aperture Radar (SAR) intensity images as floodwater often leads to a substantial decrease of backscatter. However, limitations still exist in many areas, such as shadow, layover, urban areas and densely vegetated areas, where the SAR backscatter is not sufficiently impacted by floodwater-related surface changes. This study focuses on these so-called exclusion areas, i.e. areas where SAR does not allow detecting water based on change detection. Our approach considers both pixel-based time series analyses and object-based spatial analyses using 20m Sentinel-1 Interferometric Wide Swath data, including 922 Sentinel-1 tiles covering the River Severn basin (UK) and the Lake Maggiore area (Italy). The results show that our exclusion map presents a good agreement (∼63%) with reference data derived from different data sources and indicate that it may complement SAR-derived flood extent maps. Allowing to accurately identify potential misclassifications in flood extent mapping, our exclusion map provides valuable information for flood management and, in particular, flood forecasting and prediction.
Keywords: Densely Vegetated Area; Exclusion Map; Flood Mapping; Layover; Sentinel-1; Shadow; Urban
URI: http://hdl.handle.net/20.500.12708/18060
Organisation: E120-01-1 - Forschungsgruppe Mikrowellenfernerkundung 
License: CC BY 4.0 CC BY 4.0
Publication Type: Inproceedings
Appears in Collections:Conference Paper

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