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 forest /  Brazil /  climate change impacts /  coastal processes /  conservation biology /  Ecology (forest) /  Ecology (terrestrial) /  ecosystem dynamics /  ecosystem processes /  environment /  estuary /  forest dynamics /  French Guiana /  Ichthyop (software) /  image processing /  impact assesment (environment) /  India /  Indonesia /  Lidar (Laser aerial Imaging) /  mangrove /  MODELLING /  modelling (multi-scale) /  modelling (physics) /  monitoring (environmental) /  multi-scale (spatial) /  Oceanography /  radar /  remote sensing /  remote sensing VHSR (Very High Spatial Resolution) /  river /  SDG 13 (Sust. Devel. Goal - Climate) /  SDG 15 (Sust. Devel. Goal - Terrestrial ecosystems) /  South-East Asia /  spatial dynamics /  tropical rain forest /  UMR 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  

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