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Wheat Water Deficit Monitoring Using Synthetic Aperture Radar Backscattering Coefficient and Interferometric Coherence.


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Barbouchi, Meriem; Chaabani, Chayma; Cheikh M’hamed, Hatem; Abdelfattah, Riadh; Lhissou, Rachid; Chokmani, Karem ORCID logoORCID: https://orcid.org/0000-0003-0018-0761; Ben Aissa, Nadhira; Annabi, Mohamed et Bahri, Haithem (2022). Wheat Water Deficit Monitoring Using Synthetic Aperture Radar Backscattering Coefficient and Interferometric Coherence. Agriculture , vol. 12 , nº 7. p. 1032. DOI: 10.3390/agriculture12071032.

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Due to the climate change situation, water deficit stress is becoming one of the main factors that threatens the agricultural sector in semi-arid zones. Thus, it is extremely important to provide efficient tools of water deficit monitoring and early detection. To do so, a set of Synthetic Aperture Radar (SAR) backscattering and interferometric SAR (InSAR) Sentinel-1 data, covering the period from January to June 2016, are considered over a durum wheat field in Tunisia. We first studied the temporal variation of the InSAR coherence data and the SAR backscattering coefficient as a function of the phenological stage of the wheat. Subsequently, the parameters of the SAR and InSAR coherence images were analyzed with regard to the water stress coefficient and the wheat height variations. The main findings of this study highlight the high correlation (r = 0.88) that exists between the InSAR coherence and the water stress coefficient, on the one hand, and between the backscattering coefficient, the interferometric coherence, and the water deficit coefficient (R² = 0.95 and RMSE = 14%), on the other hand. When a water deficit occurs, the water stress coefficient increases, the crop growth decreases, and the height variation becomes low, and this leads to the increase of the InSAR coherence value. In summary, the reliability of Sentinel-1 SAR and InSAR coherence data to monitor the biophysical parameters of the durum wheat was validated in the context of water deficits in semi-arid regions.

Type de document: Article
Mots-clés libres: water stress; interferometric coherence; Sentinel-1; wheat; radar remote sensing
Centre: Centre Eau Terre Environnement
Date de dépôt: 14 oct. 2022 20:09
Dernière modification: 14 oct. 2022 20:09
URI: https://espace.inrs.ca/id/eprint/13089

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