Agritrop
Home

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

Escorihuela Maria-José, Merlin Olivier, Stefan Vivien, Moyano Gorka, Eweys Omar Ali, Zribi Mehrez, Kamara Sidi, Benahi Ahmed Salem, Babah Ebbe Mohamed Abdallahi Ould, Chihrane Jamal, Ghaout Saïd, Cissé Sory, Diakite Fakaba, Lazar Mohamed, Pellarin Thierry, Grippa Manuela, Cressman Keith, Piou Cyril. 2018. SMOS based high resolution soil moisture estimates for Desert locust preventive management. Remote Sensing Applications. Society and Environment, 11 : pp. 140-150.

Journal article ; Article de recherche ; Article de revue à comité de lecture
[img]
Preview
Published version - Anglais
Use under authorization by the author or CIRAD.
PUB685.pdf

Télécharger (5MB) | Preview

Abstract : 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>0.7R>0.7) and low RMSE (below 0.04 m3 m−3). The low number of acquisitions on wet dates has limited the development of the soil moisture 100 m 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.

Mots-clés géographiques Agrovoc : Algérie, Mali, Mauritanie, Maroc

Mots-clés libres : Remote sensing, Soil moisture, Desert locust management, West Africa, SMOS, Disaggregation, Sentinel-1

Classification Agris : H10 - Pests of plants
L20 - Animal ecology
U30 - Research methods

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Escorihuela Maria-José, isardSAT (ESP) - auteur correspondant
  • Merlin Olivier, CESBIO (FRA)
  • Stefan Vivien, isardSAT (ESP)
  • Moyano Gorka, isardSAT (ESP)
  • Eweys Omar Ali, isardSAT (ESP)
  • Zribi Mehrez, CESBIO (FRA)
  • Kamara Sidi, CNLA (MRT)
  • Benahi Ahmed Salem, CNLA (MRT)
  • Babah Ebbe Mohamed Abdallahi Ould, INSAH (MLI)
  • Chihrane Jamal, CNLA (MAR)
  • Ghaout Saïd, CNLA (MAR)
  • Cissé Sory, Centre National de Lutte contre le Criquet pèlerin (MLI)
  • Diakite Fakaba, Centre National de Lutte contre le Criquet pèlerin (MLI)
  • Lazar Mohamed, INPV (DZA)
  • Pellarin Thierry, Laboratoire d'étude des Transferts en Hydrologie et Environnement (FRA)
  • Grippa Manuela, GET (FRA)
  • Cressman Keith, FAO (ITA)
  • Piou Cyril, CIRAD-BIOS-UMR CBGP (FRA) ORCID: 0000-0002-9378-9404

Source : Cirad-Agritrop (https://agritrop.cirad.fr/588110/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2021-06-01 ]