干旱区生态环境知识资源中心(Arid): Land Surface Temperature Based Soil Moisture Dynamics Modeling for Chinese Mainland

Arid

DOI	10.1109/LGRS.2021.3110906
	Land Surface Temperature Based Soil Moisture Dynamics Modeling for Chinese Mainland
	Li, Jiale; Li, Yu; Zhao, Quanhua
通讯作者	Li, Y (corresponding author)，Liaoning Tech Univ, Sch Geomat, Inst Remote Sensing, Fuxing 123000, Peoples R China.
来源期刊	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN	1545-598X
EISSN	1558-0571
出版年	2022
卷号	19
英文摘要	Since remotely sensed land surface temperature (LST) and LST-derived indexes such as surface-to-air temperature gradient (Delta T) and day-to-night LST gradient (Delta LST) all contain important soil moisture (SM) information, it is meaningful to utilize easily available and near-real-time LST data for modeling the spatiotemporal SM dynamics. However, the optimal LST-derived index to appropriately quantify SM dynamics on a large scale remains to be studied. Considering the complex and diverse climate conditions and land cover types in the Chinese mainland, this letter proposes to evaluate Z-score indexes from LST-based SM dynamic modeling for the Chinese Mainland. Monthly LST and SM during April-October in 2000-2019 years are derived from the MOD11C3 (MODIS LST product) and ERAS-Land (the global reanalysis dataset), respectively. The Pearson correlation coefficients (Rs) between ZSM (Z-score of SM) and ZLST (Z-score of LST), Z Delta T (Z-score of Delta T), as well as Z Delta LST (Z-score of Delta LST) are calculated. The average R between ZSM and ZLST is 0.44 over the whole domain. It is up to 0.7 for cultivated land and grassland in semi-arid and semi-humid areas. The R between ZSM and ZLST is stronger than the ones between ZSM and Z Delta T and Z Delta LST. Overall, ZLST can be viewed as a relatively robust and easy-to-calculate indicator for modeling SM dynamics in a large region. Even if the approach used is simple, its results are encouraging because it makes sense to actually use LST to capture SM dynamics in the Chinese mainland.
英文关键词	Land surface temperature (1ST) Pearson correlation coefficient soil moisture (SM) Z-score
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000730789400113
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376771
作者单位	[Li, Jiale; Li, Yu; Zhao, Quanhua] Liaoning Tech Univ, Sch Geomat, Inst Remote Sensing, Fuxing 123000, Peoples R China; [Li, Jiale] Inst Disaster Prevent, Sch Ecol & Environm, Langfang 065201, Peoples R China
推荐引用方式 GB/T 7714	Li, Jiale,Li, Yu,Zhao, Quanhua. Land Surface Temperature Based Soil Moisture Dynamics Modeling for Chinese Mainland[J],2022,19.
APA	Li, Jiale,Li, Yu,&Zhao, Quanhua.(2022).Land Surface Temperature Based Soil Moisture Dynamics Modeling for Chinese Mainland.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,19.
MLA	Li, Jiale,et al."Land Surface Temperature Based Soil Moisture Dynamics Modeling for Chinese Mainland".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 19(2022).