PhD research: Inventorying tree intensification to quantify shade/canopy cover variability in multi-strata tropical agroforestry land use(s) - Case of Cocoa Agroforestry in Cameroon

Date
January 2015 to December 2018
Countries
Keywords
cocoa
agroforestry
canopy
inventorying

The aim of this research is to explore a remote sensing derived measurement and inventorying of tropical agroforestry, in providing evidence-based guidance to sustainable tree intensification, land use and adapted management planning. In quantifying the ES (Ecosystem service) potential of multi-strata agroforestry system at landscape scale, remote sensing measurements are expected to provide reliable estimates. Multi-resolution and multi-temporal remote sensing data will be processed/fused for delineating tropical agroforest land use. Also, coupling of HR satellite data with in-situ canopy attributes, followed by advanced image analysis (neural network and OBIA) could be effective in reconstructing canopy/shade cover variability from agroforestry plot characteristics.

Fieldwork/Training/Topics