Multi-temporal InSAR measurements to characterise landslide ground deformations in a tropical urban environment: focus on Bukavu (DR Congo)
| dc.contributor.author | Dille, A. | |
| dc.contributor.author | Nobile, A. | |
| dc.contributor.author | Monsieurs, E. | |
| dc.contributor.author | d'Oreye, N. | |
| dc.contributor.author | Kervyn, F. | |
| dc.contributor.author | Dewitte, O. | |
| dc.coverage.spatial | Africa | |
| dc.coverage.spatial | Africa - Central | |
| dc.coverage.spatial | Congo, The Democratic Republic of the | |
| dc.date | 2017 | |
| dc.date.accessioned | 2024-03-14T13:14:08Z | |
| dc.date.available | 2024-03-14T13:14:08Z | |
| dc.identifier.uri | https://orfeo.belnet.be/handle/internal/11826 | |
| dc.description | Landslides can lead to high impacts in less developed countries, particularly in some urban tropical environments where a combination of intense rainfall, active tectonics, steep topography and high population density can be found. However, the processes controlling landslides initiation and their evolution through time remains poorly understood. Here we show the relevance of the use of multitemporal differential SAR interferometry (DInSAR) to characterize ground deformations associated to landslides in the rapidly expanding city of Bukavu (DR Congo). A series of 70 COSMO-SkyMed SAR images acquired between March 2015 and April 2016 with a mean revisiting time of 8 days were used to produce displacement rate maps and ground deformation time series using the Small Baseline Subset approach. Results show that various landslide processes of different ages, mechanisms and state of activity can be identified across Bukavu city. InSAR ground deformation maps reveal for instance the complexity of a large (1.5 km²) active slide affecting a densely inhabited slum neighbourhood and characterized by the presence of sectors moving at different rates (ranging from 10 mm/yr up to 75 mm/yr in LOS direction). The evaluation of the ground deformations captured by DInSAR through a two-step validation procedure combining Differential GPS measurements and field observations attested the reliability of the measurements as well as the capability of the technique to grasp the deformation pattern affecting this complex tropical-urban environment. However, longer time series will be needed to infer landside response to climate, seismic and anthropogenic activities. | |
| dc.language | eng | |
| dc.title | Multi-temporal InSAR measurements to characterise landslide ground deformations in a tropical urban environment: focus on Bukavu (DR Congo) | |
| dc.type | Conference | |
| dc.subject.frascati | Earth and related Environmental sciences | |
| dc.audience | Scientific | |
| dc.subject.free | Natural hazards | |
| dc.source.title | AGU Fall Meeting 2017, New Orleans, USA | |
| Orfeo.peerreviewed | No | |
| dc.identifier.rmca | 5188 |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||