Duration: 2014-2017

The project set out to assess how submetric-resolution very high spatial resolution satellite images could help improve knowledge of ecological crop pest regulation, identify landscapes at risk of pests, and draft management strategies, notably by modelling ecological  processes integrating environmental factors, cropping practices and local expertise.

The project comprised three main components:

• characterization and monitoring by remote sensing of cultivated and natural biodiversity in agroforestry systems, and of insect pest damage,
• the spatio-temporal distribution of the main insect pests and natural enemies, and characterization of cropping practices and related local expertise,
• identification and modelling of the factors that determine ecological regulation (landscape/practices/local expertise) and their interactions.

Partner organizations: ISRA/CERAAS; CIRAD/UMR TETIS; BIOPASS; CIRAD/UR AIDA, CSE.

Funding: CNES.