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 /  Brazil /  climate change impacts /  coastal processes /  conservation /  Ecology (forest) /  Ecology (terrestrial) /  ecosystem dynamics /  ecosystem processes /  environment /  environmental impact assesment /  estuary /  forest dynamics /  French Guiana /  Ichthyop (software) /  image processing /  India /  Indonesia /  Lidar (Laser aerial Imaging) /  mangrove /  MODELLING /  modelling (multi-scale) /  modelling (physics) /  monitoring (environmental) /  multi-scale (spatial) /  Oceanography (spatial) /  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  

CSS5 related headings:
     Concept
     Field Location
     Institution
     Method and approach
     Natural Item
     Natural Process
     Science and discipline
     SDG (Sust. Dev. Goal) Theme
     Software
     Technique
     Tool
    

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