Mouquet Pascal, Alexandre Cyprien, Rasolomamonjy J., Rosa J., Catry Thibault, Revillion C., Rakotondraompiana S., Pennober Gwenaelle. (2020). Sentinel-1 and Sentinel-2 time series processing chains for cyclone impact monitoring in South West Indian Ocean. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (XLIII-B3-2020), 1593-1594. ISPRS Congress, Commission III, 24., [En ligne], 2021/07/05-09.
Titre du document
Sentinel-1 and Sentinel-2 time series processing chains for cyclone impact monitoring in South West Indian Ocean
Année de publication
2020
Auteurs
Mouquet Pascal, Alexandre Cyprien, Rasolomamonjy J., Rosa J., Catry Thibault, Revillion C., Rakotondraompiana S., Pennober Gwenaelle
Source
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020,
(XLIII-B3-2020), 1593-1594
Colloque
ISPRS Congress, Commission III, 24., [En ligne], 2021/07/05-09
Monitoring the spatial footprint of cyclone impacts by remote sensing offers great potential for assessing the extent of damage and monitoring the resilience of the affected territories. For this purpose, as part of the Renovrisk-Impact project, we have developed two change detection processing chains based on optical (Sentinel-2) and SAR (Sentinel-1) data. These chains have been used to track different events in different regions of the world. In this article we focus on two study sites in Madagascar : the city of Miandrivazo, which was heavily affected by severe rainfall from Cyclone AVA in January 2018, and more recently the town of Marovoay which suffered a major disaster following the passage of tropical storm DIANE in January 2020. The obtained results were evaluated and compared with the Copernicus Emergency Mapping Service product, showing good consistency with this product and between them. These results confirm the potential of these Sentinel data and the developed processing chains for monitoring the impacts of cyclones, but also open up prospects for longer-term monitoring
Plan de classement
Climatologie / Météorologie [032CLIMET]
;
Météorologie / Climatologie [126TELAPP06]
Localisation
Fonds IRD [F B010081742]
Identifiant IRD
fdi:010081742
