Root zone soil moisture mapping at very high spatial resolution using radar-derived surface soil moisture product

Authors

Jamal Elfarkh (ORCID: https://orcid.org/0000-0002-5398-5670)
Emna Ayari (ORCID: https://orcid.org/0000-0002-8660-2437)
Abdelghani Chehbouni (ORCID: https://orcid.org/0000-0002-0270-1690)
Aaron Boone (ORCID: https://orcid.org/0000-0003-1901-7024)
Bouchra Aït Hssaine
Nadia Ouaadi (ORCID: https://orcid.org/0000-0003-3203-5278)
Michel Le Page (ORCID: https://orcid.org/0000-0002-0671-2418)
Salah Er‐Raki (ORCID: https://orcid.org/0000-0002-8595-7949)

Institutions

Cadi Ayyad University (MA)
Swedish University of Agricultural Sciences (SE)
Centre National de Recherches Météorologiques (FR)
Centre d'Études Spatiales de la Biosphère (FR)
Université Mohammed VI Polytechnique (MA)

Publication Details

Journal: Agricultural Water Management
Published: 2025-04-29
DOI: https://doi.org/10.1016/j.agwat.2025.109507
Citations: 4
Primary Topic: Soil Moisture and Remote Sensing
Type: article
Field-Weighted Citation Impact: 3.20

Funders

Massachusetts Institute of Technology
Université Mohammed VI Polytechnique

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article

Root zone soil moisture mapping at very high spatial resolution using radar-derived surface soil moisture product

Jamal Elfarkh, Emna Ayari, Abdelghani Chehbouni, Aaron Boone et al.

Apr 29, 2025

4 citations

Agricultural Water Management

Soil Moisture and Remote Sensing

3.20

article

Root zone soil moisture mapping at very high spatial resolution using radar-derived surface soil moisture product

Jamal Elfarkh, Emna Ayari, Abdelghani Chehbouni, Aaron Boone, Bouchra Aït Hssaine, Nadia Ouaadi, Michel Le Page, Salah Er‐Raki

April 29, 2025article en

4 citations

Abstract

No abstract available for this paper.

Agricultural Water ManagementVol. 314

Cadi Ayyad University (MA), Swedish University of Agricultural Sciences (SE), Centre National de Recherches Météorologiques (FR), Centre d'Études Spatiales de la Biosphère (FR), Université Mohammed VI Polytechnique (MA)

Massachusetts Institute of Technology, Université Mohammed VI Polytechnique

Openalex Percentile: Top 9%

Soil Moisture and Remote Sensing

3.20

DOI Open Access PDF OpenAlex

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