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

Escorihuela Maria-José, Merlin Olivier, Georgiana Stefan Vivien, Indrio Gianfranco, Piou Cyril. 2018. SMOS based high resolution soil moisture estimates for Desert locust preventive management. . Valencia : IEEE, 8284-8287. ISBN 978-1-5386-7150-4 International Geoscience and Remote Sensing Symposium (IGARSS 2018), Valencia, Espagne, 22 Juillet 2018/27 Juillet 2018.

Url - éditeur : https://ieeexplore.ieee.org/xpl/conhome/8496405/proceeding

Résumé : 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 (100 m) resolution 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 1km 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 0.04 m 3 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 1km will be integrated into the national and global Desert Locust early warning systems in national locust centres and at DLIS-FAO, respectively.

Mots-clés libres : Desert locust, Disaggregation, Early warning system, Management, Remote sensing, Sentinel-1, SMOS, Soil moisture, West Africa

Auteurs et affiliations

• Escorihuela Maria-José
• Merlin Olivier, CESBIO (FRA)
• Georgiana Stefan Vivien
• Indrio Gianfranco
• Piou Cyril, CIRAD-BIOS-UMR CBGP (FRA) ORCID: 0000-0002-9378-9404

Source : Cirad-Agritrop (https://agritrop.cirad.fr/587979/)

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