RT journal article
T1 Land Use/Land Cover Optimized SAR Coherence Analysis for Rapid Coastal Disaster Monitoring: The Impact of the Emma Storm in Southern Spain
A1 Garzo, Pedro Andrés
A1 Fernández Momblant, Tomás
A2 Ciencias de la Tierra
K1 synthetic aperture radars
K1 disaster monitoring
K1 coastal hazards
AB The high exposure of coastal areas worldwide to natural and anthropogenic disastersemphasizes the relevance of disaster management processes that ensure a prompt damage detectionand identification of affected areas. This paper aimed to develop a novel approach for disastermonitoring in coastal areas using SAR data. The method was based on an interferometric coherencedifference analysis of Sentinel 1 data. To calibrate and validate the method, the Emma Storm, a severecoastal storm that affected the southwest coast of the Iberian Peninsula in 2018, was chosen as a casestudy. A coastal land use/land cover method optimization by optical and UAV field data resulted inan overall improvement of about 20% in the identification of disaster-affected areas by reducing falsealarms by up to 33%. Finally, the method achieved hit and false alarm rates of about 80% and 20%,respectively, leading to the identification of approximately 30% (7000 ha) of the study area as beingaffected by the storm. Marshes and vegetated dunes were the most significantly impacted covers. Inaddition, SAR data enabled the impact assessment with a time lag of 2 days, contrasting the 25-daydelay of optical data. The proposed method stands out as a valuable tool for regional-scale coastaldisaster monitoring. In addition, it can be automated and operated at a low cost, making it a valuabletool for decision-making support.
PB MDPI
SN 2072-4292
YR 2023
FD 2023
LK http://hdl.handle.net/10498/31637
UL http://hdl.handle.net/10498/31637
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026