干旱区生态环境知识资源中心(Arid): Wheat Water Deficit Monitoring Using Synthetic Aperture Radar Backscattering Coefficient and Interferometric Coherence

Arid

DOI	10.3390/agriculture12071032
	Wheat Water Deficit Monitoring Using Synthetic Aperture Radar Backscattering Coefficient and Interferometric Coherence
	Barbouchi, Meriem; Chaabani, Chayma; M'Hamed, Hatem Cheikh; Abdelfattah, Riadh; Lhissou, Rachid; Chokmani, Karem; Ben Aissa, Nadhira; Annabi, Mohamed; Bahri, Haithem
通讯作者	Barbouchi, M
来源期刊	AGRICULTURE-BASEL
EISSN	2077-0472
出版年	2022
卷号	12 期号:7
英文摘要	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 (R-2 = 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.
英文关键词	water stress interferometric coherence Sentinel-1 wheat radar remote sensing
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000832046400001
WOS关键词	LEAF-AREA INDEX ; X-BAND SAR ; REMOTE-SENSING DATA ; IRRIGATED WHEAT ; TIME-SERIES ; TERRASAR-X ; CROP ; MODEL ; SOIL ; EVAPOTRANSPIRATION
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/391688
推荐引用方式 GB/T 7714	Barbouchi, Meriem,Chaabani, Chayma,M'Hamed, Hatem Cheikh,et al. Wheat Water Deficit Monitoring Using Synthetic Aperture Radar Backscattering Coefficient and Interferometric Coherence[J],2022,12(7).
APA	Barbouchi, Meriem.,Chaabani, Chayma.,M'Hamed, Hatem Cheikh.,Abdelfattah, Riadh.,Lhissou, Rachid.,...&Bahri, Haithem.(2022).Wheat Water Deficit Monitoring Using Synthetic Aperture Radar Backscattering Coefficient and Interferometric Coherence.AGRICULTURE-BASEL,12(7).
MLA	Barbouchi, Meriem,et al."Wheat Water Deficit Monitoring Using Synthetic Aperture Radar Backscattering Coefficient and Interferometric Coherence".AGRICULTURE-BASEL 12.7(2022).