POST-FLOOD SOIL DISPLACEMENT MONITORING IN TUNISIA USING PARALLEL SMALL BASELINE SUBSET INTERFEROMETRY

被引:0
|
作者
Chaabani, Chayma [1 ]
Barbouchi, Meriem [2 ]
Abdelfattah, Riadh [1 ,3 ]
机构
[1] Univ Carthage, Higher Sch Commun Tunis, COSIM Lab, Carthage 2083, Tunisia
[2] Univ Carthage, Natl Agron Inst Tunisia INAT, Carthage, Tunisia
[3] IMT Atlantique Bretagne Pays Loire, Dept ITI, F-29238 Brest 03, France
来源
2022 IEEE MEDITERRANEAN AND MIDDLE-EAST GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (M2GARSS) | 2022年
关键词
DInSAR; SBAS; parallel computing; P-SBAS; Sentinel-1; Flood; landslide;
D O I
10.1109/M2GARSS52314.2022.9839927
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We are interested in monitoring the soil movements that occur after flooding events using advanced multi-temporal differential interferometric Synthetic Aperture Radar (SAR) technique. We considered two post-flood soil deformation events that happened in Tunisia. We used five groups of Sentinel1 datasets in order to generate the velocity maps of the soil displacements that happened after heavy rainfalls in October and September, 2018, respectively, in Rouhia region and the "Cape Bon" peninsula in Tunisia. Our motivation behind this work is to provide a comprehensive multi-temporal monitoring of the post-flood soil instabilities using the Parallel computing version of the Small BAseline Subset (P-SBAS) approach because we are aware of the infrastructural and material difficulties for the use of conventional in-situ soil displacement methods especially during the times of crises. Furthermore, we used the information of the erodability maps to classify the ground surface susceptibility to erosion. These thematic maps are used, in this study, to qualitatively confirm the P-SBAS analysis results that related the ground surface movements to the existence of floodwater.
引用
收藏
页码:157 / 160
页数:4
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