Journal
WATER
Volume 12, Issue 10, Pages -Publisher
MDPI
DOI: 10.3390/w12102745
Keywords
flood monitoring; ALOS 2; Sentinel-1; multi-sensor integration; multi-temporal inundation analysis; Zambesi-Shire river basin
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Funding
- Italian Ministry of Education, University and Research [D.D. 2261-6.9.2018]
- PON RI 2014-2020
- Luxembourg National Research Fund through the MOSQUITO project [CORE C15/SR/10380137]
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Flood detection and monitoring is increasingly important, especially on remote areas such as African tropical river basins, where ground investigations are difficult. We present an experiment aimed at integrating multi-temporal and multi-source data from the Sentinel-1 and ALOS 2 synthetic aperture radar (SAR) sensors, operating in C band, VV polarization, and L band, HH and HV polarizations, respectively. Information from the globally available CORINE land cover dataset, derived over Africa from the Proba V satellite, and available publicly at the resolution of 100 m, is also exploited. Integrated multi-frequency, multi-temporal, and multi-polarizations analysis allows highlighting different drying dynamics for floodwater over various land cover classes, such as herbaceous vegetation, wetlands, and forests. They also enable detection of different scattering mechanisms, such as double bounce interaction of vegetation stems and trunks with underlying floodwater, giving precious information about the distribution of flooded areas among the different ground cover types present on the site. The approach is validated through visual analysis from Google Earth imagery. This kind of integrated analysis, exploiting multi-source remote sensing to partially make up for the unavailability of reliable ground truth, is expected to assume increasing importance as constellations of satellites, observing the Earth in different electromagnetic radiation bands, will be available.
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