干旱区生态环境知识资源中心(Arid): Improving Soil Moisture Estimation by Identification of NDVI Thresholds Optimization: An Application to the Chinese Loess Plateau

Arid

DOI	10.3390/rs13040589
	Improving Soil Moisture Estimation by Identification of NDVI Thresholds Optimization: An Application to the Chinese Loess Plateau
	Yuan, Lina; Li, Long; Zhang, Ting; Chen, Longqian; Zhao, Jianlin; Liu, Weiqiang; Cheng, Liang; Hu, Sai; Yang, Longhua; Wen, Mingxin
通讯作者	Chen, LQ (corresponding author), China Univ Min & Technol, Sch Publ Policy & Management, Daxue Rd 1, Xuzhou 221116, Jiangsu, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:4
英文摘要	Accuracy soil moisture estimation at a relevant spatiotemporal scale is scarce but beneficial for understanding ecohydrological processes and improving weather forecasting and climate models, particularly in arid and semi-arid regions like the Chinese Loess Plateau (CLP). This study proposed Criterion 2, a new method to improve relative soil moisture (RSM) estimation by identification of normalized difference vegetation index (NDVI) thresholds optimization based on our previously proposed iteration procedure of Criterion 1. Apparent thermal inertia (ATI) and temperature vegetation dryness index (TVDI) were applied to subregional RSM retrieval for the CLP throughout 2017. Three optimal NDVI thresholds (NDVI0 was used for computing TVDI, and both NDVIATI and NDVITVDI for dividing the entire CLP) were firstly identified with the best validation results (R over bar ) of subregions for 8-day periods. Then, we compared the selected optimal NDVI thresholds and estimated RSM with each criterion. Results show that NDVI thresholds were optimized to robust RSM estimation with Criterion 2, which characterized RSM variability better. The estimated RSM with Criterion 2 showed increased accuracy (maximum R over bar of 0.82 +/- 0.007 for Criterion 2 and of 0.75 +/- 0.008 for Criterion 1) and spatiotemporal coverage (45 and 38 periods (8-day) of RSM maps and the total RSM area of 939.52 x 10(4) km(2) and 667.44 x 10(4) km(2) with Criterion 2 and Criterion 1, respectively) than with Criterion 1. Moreover, the additional NDVI thresholds we applied was another strategy to acquire wider coverage of RSM estimation. The improved RSM estimation with Criterion 2 could provide a basis for forecasting drought and precision irrigation management.
英文关键词	MODIS relative soil moisture Chinese Loess Plateau ATI TVDI
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000624418500001
WOS关键词	DRYNESS INDEX TVDI ; THERMAL INERTIA ; WATER CONTENT ; ROOT-ZONE ; AGRICULTURAL DROUGHT ; TEMPERATURE ; VEGETATION ; SMOS ; RETRIEVAL ; VARIABILITY
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
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351481
作者单位	[Yuan, Lina; Li, Long; Zhang, Ting; Chen, Longqian; Cheng, Liang; Wen, Mingxin] China Univ Min & Technol, Sch Publ Policy & Management, Daxue Rd 1, Xuzhou 221116, Jiangsu, Peoples R China; [Li, Long] Vrije Univ Brussel, Dept Geog & Earth Syst Sci, Pl Laan 2, B-1050 Brussels, Belgium; [Zhao, Jianlin] Changan Univ, Dept Geol Engn & Geomat, Yanta Rd 120, Xian 710054, Peoples R China; [Liu, Weiqiang] China Univ Min & Technol, Sch Environm & Spatial Informat, Daxue Rd 1, Xuzhou 221116, Jiangsu, Peoples R China; [Cheng, Liang] Shaoguan Univ, Henry Fok Coll Biol & Agr, Daxue Rd 26, Shaoguan 512005, Peoples R China; [Hu, Sai] Jiangsu Ocean Univ, Sch Humanities & Law, Cangwu Rd 59, Lianyungang 222005, Peoples R China; [Yang, Longhua] Shanghai Gongjing Environm Protect Co Ltd, Dept Res & Dev, Yuanjiang Rd 525, Shanghai 201100, Peoples R China
推荐引用方式 GB/T 7714	Yuan, Lina,Li, Long,Zhang, Ting,et al. Improving Soil Moisture Estimation by Identification of NDVI Thresholds Optimization: An Application to the Chinese Loess Plateau[J],2021,13(4).
APA	Yuan, Lina.,Li, Long.,Zhang, Ting.,Chen, Longqian.,Zhao, Jianlin.,...&Wen, Mingxin.(2021).Improving Soil Moisture Estimation by Identification of NDVI Thresholds Optimization: An Application to the Chinese Loess Plateau.REMOTE SENSING,13(4).
MLA	Yuan, Lina,et al."Improving Soil Moisture Estimation by Identification of NDVI Thresholds Optimization: An Application to the Chinese Loess Plateau".REMOTE SENSING 13.4(2021).