The SMELLS (Soil Moisture for dEsert Locust earLy Survey) project has implemented an innovative approach to combine Sentinel-1 SAR data with thermal-disaggregated SMOS-derived soil moisture to derive a soil moisture product at both high-spatial and high-temporal resolution to provide a new tool for decision-makers in the Desert Locust preventive management system.

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Team

CESBIO, isardSAT, UN-FAO, Institut National de la Protection des Végétaux (Algeria), Centre National de Lutte contre le Criquet Pèlerin (Mali), Centre National de Lutte Antiacridienne (Mauritania), Centre National de Lutte Anti-Acridienne (Morocco)

Tags

algorithm development, hazards, soil moisture