干旱区生态环境知识资源中心(Arid): Improved Surface Soil Moisture Estimation Model in Semi-Arid Regions Using the Vegetation Red-Edge Band Sensitive to Plant Growth

Arid

DOI	10.3390/atmos13060930
	Improved Surface Soil Moisture Estimation Model in Semi-Arid Regions Using the Vegetation Red-Edge Band Sensitive to Plant Growth
	Lin, Rencai; Chen, He; Wei, Zheng; Li, Yinong; Zhang, Baozhong; Sun, Haoran; Cheng, Minghan
通讯作者	Wei, Z
来源期刊	ATMOSPHERE
EISSN	2073-4433
出版年	2022
卷号	13 期号:6
英文摘要	Accurate description of surface soil moisture (SSM) in vegetation-covered areas is of great significance to water resource management and drought monitoring. To remove the effect of vegetation on SSM estimation, the vegetation index obtained from Sentinel-2 (S2) was applied for vegetation water content (VWC) estimation. The VWC model was substituted into the water cloud model (WCM), and thus, the SSM estimation model was developed based on the WCM. The methodology was tested at Daxing, Beijing, and Gu'an, Hebei, in which training and validation data of SSM were acquired by in situ measurements. The results can be described as follows: (1) For the vegetation-covered areas, the Modified Chlorophyll Absorption Ratio Index (MCARI) obtained from the B3, B4, and B5 bands of S2 was the most suitable for removing the influence of vegetation on SSM estimation; (2) Compared to Sentinel-1 (S1) vertical-horizontal (VH) polarization, vertical-vertical (VV) polarization was more suitable for SSM estimation and achieved higher accuracy; (3) The developed model could be used to estimate SSM under crop cover with high accuracy, which indicated the correlation coefficients (R-2) between in situ measured and estimated SSM were 0.867, the root mean square error (RMSE) was 0.028 cm(3)/cm(3), and the MAE was 0.023 cm(3)/cm(3). Thus, this methodology has the potential for SSM estimation in vegetated areas.
英文关键词	Sentinel-1 Sentinel-2 surface soil moisture water cloud model red-edge band vegetation water content
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:000819102300001
WOS关键词	DIFFERENCE WATER INDEX ; EMPIRICAL-MODEL ; C-BAND ; RADAR ; LANDSAT ; CORN ; SENTINEL-1 ; RETRIEVAL ; MODIS ; METHODOLOGY
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/391915
推荐引用方式 GB/T 7714	Lin, Rencai,Chen, He,Wei, Zheng,et al. Improved Surface Soil Moisture Estimation Model in Semi-Arid Regions Using the Vegetation Red-Edge Band Sensitive to Plant Growth[J],2022,13(6).
APA	Lin, Rencai.,Chen, He.,Wei, Zheng.,Li, Yinong.,Zhang, Baozhong.,...&Cheng, Minghan.(2022).Improved Surface Soil Moisture Estimation Model in Semi-Arid Regions Using the Vegetation Red-Edge Band Sensitive to Plant Growth.ATMOSPHERE,13(6).
MLA	Lin, Rencai,et al."Improved Surface Soil Moisture Estimation Model in Semi-Arid Regions Using the Vegetation Red-Edge Band Sensitive to Plant Growth".ATMOSPHERE 13.6(2022).