干旱区生态环境知识资源中心(Arid): On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas

Arid

DOI	10.3390/rs13040727
	On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas
	Ait Hssaine, Bouchra; Chehbouni, Abdelghani; Er-Raki, Salah; Khabba, Said; Ezzahar, Jamal; Ouaadi, Nadia; Ojha, Nitu; Rivalland, Vincent; Merlin, Olivier
通讯作者	Hssaine, BA (corresponding author), Mohammed VI Polytech Univ UM6P, CRSA, Ben Guerir 43150, Morocco.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:4
英文摘要	Over semi-arid agricultural areas, the surface energy balance and its components are largely dependent on the soil water availability. In such conditions, the land surface temperature (LST) retrieved from the thermal bands has been commonly used to represent the high spatial variability of the surface evaporative fraction and associated fluxes. In contrast, however, the soil moisture (SM) retrieved from microwave data has rarely been used thus far due to the unavailability of high-resolution (field scale) SM products until recent times. Soil evaporation is controlled by the surface SM. Moreover, the surface SM dynamics is temporally related to root zone SM, which provides information about the water status of plants. The aim of this work was to assess the gain in terms of flux estimates when integrating microwave-derived SM data in a thermal-based energy balance model at the field scale. In this study, SM products were derived from three different methodologies: the first approach inverts SM, labeled hereafter as 'SMO20', from the backscattering coefficient and the interferometric coherence derived from Sentinel-1 products in the water cloud model (WCM); the second approach inverts SM from Sentinel-1 and Sentinel-2 data based on machine learning algorithms trained on a synthetic dataset simulated by the WCM noted 'SME16'; and the third approach disaggregates the soil moisture active and passive SM at 100 m resolution using Landsat optical/thermal data 'SMO19'. These SM products, combined with the Landsat based vegetation index and LST, are integrated simultaneously within an energy balance model (TSEB-SM) to predict the latent (LE) and sensible (H) heat fluxes over two irrigated and rainfed wheat crop sites located in the Haouz Plain in the center of Morocco. H and LE were measured over each site using an eddy covariance system and their values were used to evaluate the potential of TSEB-SM against the classical two source energy balance (TSEB) model solely based on optical/thermal data. Globally, TSEB systematically overestimates LE (mean bias of 100 W/m(2)) and underestimates H (mean bias of -110 W/m(2)), while TSEB-SM significantly reduces those biases, regardless of the SM product used as input. This is linked to the parameterization of the Priestley Taylor coefficient, which is set to alpha(PT) = 1.26 by default in TSEB and adjusted across the season in TSEB-SM. The best performance of TSEB-SM was obtained over the irrigated field using the three retrieved SM products with a mean R-2 of 0.72 and 0.92, and a mean RMSE of 31 and 36 W/m(2) for LE and H, respectively. This opens up perspectives for applying the TSEB-SM model over extended irrigated agricultural areas to better predict the crop water needs at the field scale.
英文关键词	TSEB TSEB-SM surface soil moisture land surface temperature vegetation index winter wheat semi-arid region
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000624416700001
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	French National Research Institute for Sustainable Development
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351485
作者单位	[Ait Hssaine, Bouchra; Chehbouni, Abdelghani; Er-Raki, Salah; Khabba, Said; Ezzahar, Jamal] Mohammed VI Polytech Univ UM6P, CRSA, Ben Guerir 43150, Morocco; [Chehbouni, Abdelghani; Ouaadi, Nadia; Ojha, Nitu; Rivalland, Vincent; Merlin, Olivier] Univ Toulouse, CESBIO Ctr Etud Spatiales BIOsphere, CNRS, CNES,INRA,EIRD,UPS, 18 Ave Edouard Belin, F-31401 Toulouse, France; [Er-Raki, Salah] Cadi Ayyad Univ, Fac Sci & Technol, Dept Appl Phys, ProcEDE, Marrakech 40000, Morocco; [Khabba, Said; Ouaadi, Nadia] Cadi Ayyad Univ, Dept Phys, LMFE, Fac Sci Semlalia, Marrakech 40000, Morocco; [Ezzahar, Jamal] Cadi Ayyad Univ, Natl Sch Appl Sci, MISCOM, Safi 46000, Morocco
推荐引用方式 GB/T 7714	Ait Hssaine, Bouchra,Chehbouni, Abdelghani,Er-Raki, Salah,et al. On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas[J]. French National Research Institute for Sustainable Development,2021,13(4).
APA	Ait Hssaine, Bouchra.,Chehbouni, Abdelghani.,Er-Raki, Salah.,Khabba, Said.,Ezzahar, Jamal.,...&Merlin, Olivier.(2021).On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas.REMOTE SENSING,13(4).
MLA	Ait Hssaine, Bouchra,et al."On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas".REMOTE SENSING 13.4(2021).