CSS5-IRD :  PROISY, Christophe / Remote Sensing Signal Analysis for Forest Ecology

Remote Sensing Signal Analysis for Forest Ecology
Understanding Past Changes and Forecasting Vulnerability of Mangrove Coasts


Competencies of PROISY, Christophe, HDR scientist
UMIFRE FIP   French Institute of Pondicherry (India)

/  Amazonia /  Brazilclimate change impacts /  coastal processes /  conservation /  Ecology (forest) /  Ecology (terrestrial)ecosystem dynamicsecosystem processesenvironmentestuaryforest dynamics /  French Guiana /  Ichthyop (software)image processingimpact assesment (environment) /  India /  Indonesia /  Lidar (Laser aerial Imaging) /  mangrove /  MODELLINGmodelling (multi-scale) /  modelling (physics) /  monitoring (environmental)multi-scale (spatial) /  Oceanography (spatial) /  radar /  remote sensing /  remote sensing VHSR (Very High Spatial Resolution) /  riverSDG 13 (Sust. Devel. Goal - Climate)SDG 15 (Sust. Devel. Goal - Terrestrial ecosystems)South-East Asiaspatial dynamicstropical rain forest /  UMR AMAP (Botany Model. Plant Architect. Veget.) /

Competencies in black are unique to C. Proisy's profile in the current state of the database

Web-link IFP: French Institute of Pondicherry
DOI: Mangrove Forest Dynamics Using Very High Spatial Resolution Optical Remote Sensing
Personal home page   Research gate access   Known production set   email contact   Institution   article   web-link IFP  

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