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Automatic Flood Duration Estimation Based on Multi-Sensor Satellite Data

German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), 82234 Oberpfaffenhofen, Germany
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Remote Sens. 2020, 12(4), 643; https://doi.org/10.3390/rs12040643
Received: 2 January 2020 / Revised: 7 February 2020 / Accepted: 12 February 2020 / Published: 14 February 2020
Flood duration is a crucial parameter for disaster impact assessment as it can directly influence the degree of economic losses and damage to structures. It also provides an indication of the spatio-temporal persistence and the evolution of inundation events. Thus, it helps gain a better understanding of hydrological conditions and surface water availability and provides valuable insights for land-use planning. The objective of this work is to develop an automatic procedure to estimate flood duration and the uncertainty associated with the use of multi-temporal flood extent masks upon which the procedure is based. To ensure sufficiently high observation frequencies, data from multiple satellites, namely Sentinel-1, Sentinel-2, Landsat-8 and TerraSAR-X, are analyzed. Satellite image processing and analysis is carried out in near real-time with an integrated system of dedicated processing chains for the delineation of flood extents from the range of aforementioned sensors. The skill of the proposed method to support satellite-based emergency mapping activities is demonstrated on two cases, namely the 2019 flood in Sofala, Mozambique and the 2017 flood in Bihar, India. View Full-Text
Keywords: flood monitoring; flood duration; Sentinel-1; Sentinel-2; Landsat-8; TerraSAR-X flood monitoring; flood duration; Sentinel-1; Sentinel-2; Landsat-8; TerraSAR-X
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MDPI and ACS Style

Rättich, M.; Martinis, S.; Wieland, M. Automatic Flood Duration Estimation Based on Multi-Sensor Satellite Data. Remote Sens. 2020, 12, 643.

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