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)

Amazon forestBrazilclimate change impactscoastal processesconservation biology /  Ecology (forest) /  Ecology (terrestrial)ecosystem dynamicsecosystem processesenvironmentestuaryforest dynamicsFrench GuianaIchthyop (software)image processingimpact assesment (environment) /  India /  IndonesiaLidar (Laser aerial Imaging) /  mangrove /  MODELLINGmodelling (multi-scale)modelling (physics)monitoring (environmental)multi-scale (spatial)Oceanographyradarremote sensingremote sensing VHSR (Very High Spatial Resolution)riverSDG 13 (Sust. Devel. Goal - Climate)SDG 15 (Sust. Devel. Goal - Terrestrial ecosystems)South-East Asiaspatial dynamicstropical rain forestUMR AMAP (Botany Model. Plant Architect. Veget.) /

Competencies in black are unique of 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  



CSS5 related headings

     Field Location
     Method or approach
     Natural Item
     Natural Process
     Science or discipline
     SDG (Sust. Dev. Goal) Theme

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Last update : 2019-02-11

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