SMOS based high resolution soil moisture estimates for desert locust preventive management

This paper presents the first attempt to include soil moisture information from remote sensing in the tools available to desert locust managers. The soil moisture requirements were first assessed with the users. The main objectives of this paper are: i) to describe and validate the algorithms used to produce a soil moisture dataset at 1 km resolution relevant to desert locust management based on DisPATCh methodology applied to SMOS and ii) the development of an innovative approach to derive high-resolution (100 m) soil moisture products from Sentinel-1 in synergy with SMOS data. For the purpose of soil moisture validation, 4 soil moisture stations where installed in desert areas (one in each user country). The soil moisture 1 km product was thoroughly validated and its accuracy is amongst the best available soil moisture products. Current comparison with in-situ soil moisture stations shows good values of correlation (R > 0.7) and low RMSE (below 0.04m3 m−3). The low number of acquisitions on wet dates has limited the development of the soil moisture 100m product over the Users Areas. The Soil Moisture product at 1 km will be integrated into the national and global Desert Locust early warning systems in national locust centres and at DLIS-FAO, respectively.

ESCORIHUELA Maria José    

MERLIN Olivier    

STEFAN Vivien    

MOYANO Gorka    

EWEYS Omar Ali    

ZRIBI Mehrez    

KAMARA Sidi    

Ahmed Salem Benahi    

Mohamed Abdallahi Babah Ebbe    

Jamal Chihrane    

GHAOUT Saïd    

CISSE Sory    

DIAKITE Fakaba    

LAZAR Mohammed    

PELLARIN Thierry    

GRIPPA Manuela    

CRESSMAN Keith    

PLIOU Cyril    

ELSEVIER    

Remote sensing    

Soil moisture    

Desert locust management    

West Africa    

SMOS    

Disaggregation    

Sentinel-1    

Sécurité alimentaire et nutritionnelle    

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Anglais

Algérie    

Mali    

Maroc    

Mauritanie    

BIBLIOTHEQUE    

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