Flooding Water Depth Estimation with High-Resolution SAR.pdf
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 53, NO. 5, MAY 2015 2295
Flooding Water Depth Estimation
With High-Resolution SAR
Pasquale Iervolino, Student Member, IEEE, Raffaella Guida, Member, IEEE,
Antonio Iodice, Senior Member, IEEE, and Daniele Riccio, Fellow, IEEE
Abstract—The retrieval of flooding levels with high-resolution
(HR) synthetic aperture radar (SAR) images is presented in this
paper. A new framework is proposed. It is based on the inversion of
theoretical scattering models initially developed for nonflooded ur-
ban areas and here adapted to the flooding case. Starting from the
theory, two possible retrieval approaches have been developed and
are the main topic of this paper: two possible retrieval approaches
have been developed and are the main topic of this paper: the local
Single Image Objects Aware (SIObA) and the global Two Image
Area Aware (TIArA). These two approaches are conceived to be
applicable under different working conditions and consequently
holding different properties and reliability. For each of them, a
different algorithm is derived and tested, and the retrieval results
are validated on a meaningful data set of HR TerraSAR-X images
relevant to the Gloucestershire (U.K.) flooding that occurred in
year 2007.
Index Terms—Electromagnetic modeling, feature extraction,
floods, inverse problems, Synthetic aperture radar (SAR).
I. INTRODUCTION
C LIMATE change is clearly playing an important role inthe current increase in flooding occurrence: That in the
U.K. in 2007 and in 2014 or in Pakistan in 2010 are only
some of the most devastating water disasters that happened
recently. The loss in lives, properties, agricultural harvests, and
infrastructures is anytime evaluated in terms of millions of
dollars [1], [2], with peaks of billions per single event [1], thus
justifying the research of efficient real-time technical solutions
to synoptically monitor the increase of river/ocean levels and
prevent or mitigate the event of floodin
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