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Open AccessArticle

Integrating C- and L-Band SAR Imagery for Detailed Flood Monitoring of Remote Vegetated Areas

1
National Research Council—Institute for Electromagnetic Sensing of the Environment (CNR-IREA), 70126 Bari, Italy
2
Earth and Geoenvironmental Science Department, University of Bari, 70125 Bari, Italy
3
Environmental Research and Innovation Department (ERIN), Luxembourg Institute of Science and Technology (LIST), L-4422 Belvaux, Luxembourg
*
Author to whom correspondence should be addressed.
Water 2020, 12(10), 2745; https://doi.org/10.3390/w12102745
Received: 4 September 2020 / Revised: 22 September 2020 / Accepted: 28 September 2020 / Published: 30 September 2020
(This article belongs to the Special Issue Improving Flood Detection and Monitoring through Remote Sensing)
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 EarthTM 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. View Full-Text
Keywords: flood monitoring; ALOS 2; Sentinel-1; multi-sensor integration; multi-temporal inundation analysis; Zambesi-Shire river basin flood monitoring; ALOS 2; Sentinel-1; multi-sensor integration; multi-temporal inundation analysis; Zambesi-Shire river basin
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MDPI and ACS Style

Refice, A.; Zingaro, M.; D’Addabbo, A.; Chini, M. Integrating C- and L-Band SAR Imagery for Detailed Flood Monitoring of Remote Vegetated Areas. Water 2020, 12, 2745.

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