@article{fdi:010081742,
  title = {{S}entinel-1 and {S}entinel-2 time series processing chains for cyclone impact monitoring in {S}outh {W}est {I}ndian {O}cean},
  author = {{M}ouquet, {P}ascal and {A}lexandre, {C}yprien and {R}asolomamonjy, {J}. and {R}osa, {J}. and {C}atry, {T}hibault and {R}evillion, {C}. and {R}akotondraompiana, {S}. and {P}ennober, {G}wenaelle},
  editor = {},
  language = {{ENG}},
  abstract = {{M}onitoring 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. {F}or this purpose, as part of the {R}enovrisk-{I}mpact project, we have developed two change detection processing chains based on optical ({S}entinel-2) and {SAR} ({S}entinel-1) data.  {T}hese chains have been used to track different events in different regions of the world. {I}n this article we focus on two study sites in {M}adagascar : the city of {M}iandrivazo, which was heavily affected by severe rainfall from {C}yclone {AVA} in {J}anuary 2018, and more recently the town of {M}arovoay which suffered a major disaster following the passage of tropical storm  {DIANE} in {J}anuary 2020. {T}he obtained results were evaluated and compared with the {C}opernicus {E}mergency {M}apping  {S}ervice product, showing good consistency with this product and between them. {T}hese results confirm the potential of these {S}entinel data and the developed processing chains for monitoring the impacts of cyclones, but also open up prospects for longer-term monitoring},
  keywords = {{MADAGASCAR} ; {OCEAN} {INDIEN} ; {MIANDRIVAZO} ; {MAROVOAY}},
  booktitle = {},
  journal = {{I}nternational {A}rchives of the {P}hotogrammetry, {R}emote {S}ensing and {S}patial {I}nformation {S}ciences},
  numero = {{XLIII}-{B}3-2020},
  pages = {1593--1594},
  year = {2020},
  DOI = {10.5194/isprs-archives-{XLIII}-{B}3-2020-1593-2020},
  URL = {https://www.documentation.ird.fr/hor/fdi:010081742},
}