Characterising complex agroforestry systems using remote sensing and Deep Learning.
Oscar Migeon  1@  
1 : INRAE
INRAE, UMR Tetis

-Collection and formatting of statellite data (Sentinel-2) on the study sites.
-Bibliography of the recent methods for multi-label classification tasks based on time series.
-Proposal and design of a deep learning model or framework for analysing satellite data and mapping agroforestry systems.
-Evaluation of the proposed approach relative to a set of baseline.
-Writing the internship report (in English) in order to capitalise on the work carried out with the view to a possible scientific publication.


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