干旱区生态环境知识资源中心(Arid): Collaborative Inversion of Soil Water Content in Alpine Meadow Area Based on Multitemporal Polarimetric SAR and Optical Remote Sensing Data

Arid

DOI	10.1155/2024/2585610
	Collaborative Inversion of Soil Water Content in Alpine Meadow Area Based on Multitemporal Polarimetric SAR and Optical Remote Sensing Data
	Kong, Meng; Zuo, Xiaoqing; Li, Yongfa
通讯作者	Kong, M
来源期刊	JOURNAL OF SPECTROSCOPY
ISSN	2314-4920
EISSN	2314-4939
出版年	2024
卷号	2024
英文摘要	Soil water content is a critical environmental parameter in research and practice, though various technological and contextual constraints limit its estimation in arid areas with vegetation cover. This study combined the multitemporal remote sensing data of Sentinel-1 and Landsat 8 to conduct an inversion study on surface soil water content under low vegetation cover in Nagqu, central Tibetan Plateau. Four vegetation indices (NDVI, ARVI, EVI, and RVI) were extracted from optical remote sensing data. A water cloud model was used to eliminate the influence of the vegetation layer on the backscattering coefficient associated with vegetation cover, and a predictive model suitable for the Nagqu area was constructed. The water cloud model effectively incorporated a vegetation index instead of vegetation water content. We found that VV polarization was more suitable for soil water content inversion than VH polarization. Among the four vegetation indices, the soil water content inversion model constructed with RVI under VV polarization had the best fit (R-2 = 0.8212; RMSE = 6.30). The second-best fit was observed for vegetation water content-NDVI (R-2 = 0.8201). The soil water content inversion models all had an R-2 > 0.6, regardless of the vegetation index used, though the RVI had the best fitting effect, indicating that this vegetation index is highly applicable in the water cloud model, as a substitute for vegetation water content, and is expected to perform well in similar study sites.
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:001156317500001
WOS关键词	MOISTURE ; SENTINEL-1 ; INDEX
WOS类目	Biochemical Research Methods ; Spectroscopy
WOS研究方向	Biochemistry & Molecular Biology ; Spectroscopy
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404710
推荐引用方式 GB/T 7714	Kong, Meng,Zuo, Xiaoqing,Li, Yongfa. Collaborative Inversion of Soil Water Content in Alpine Meadow Area Based on Multitemporal Polarimetric SAR and Optical Remote Sensing Data[J],2024,2024.
APA	Kong, Meng,Zuo, Xiaoqing,&Li, Yongfa.(2024).Collaborative Inversion of Soil Water Content in Alpine Meadow Area Based on Multitemporal Polarimetric SAR and Optical Remote Sensing Data.JOURNAL OF SPECTROSCOPY,2024.
MLA	Kong, Meng,et al."Collaborative Inversion of Soil Water Content in Alpine Meadow Area Based on Multitemporal Polarimetric SAR and Optical Remote Sensing Data".JOURNAL OF SPECTROSCOPY 2024(2024).