First results of all-weather soil moisture retrieval from an optical/thermal infrared remote-sensing-based operational system in China

doi:10.1080/01431161.2018.1468119

	First results of all-weather soil moisture retrieval from an optical/thermal infrared remote-sensing-based operational system in China
	Leng, Pei 1; Li, Zhao-Liang 1,2; Duan, Si-Bo 1; Gao, Mao-Fang 1; Huo, Hong-Yuan 1
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2019
卷号	40 期号:5-6 页码:2069-2086
ISSN号	0143-1161
DOI	10.1080/01431161.2018.1468119
通讯作者	Li, Zhao-Liang(lizhaoliang@caas.cn)
英文摘要	Surface soil moisture (SSM) content plays an important role in a number of physical processes involving the energy and mass exchanges between the land and atmosphere interactions. Determination of spatially complete SSM in regional scale has long been one of the most significant tasks in remote-sensing community. Although with limited penetrating ability comparing to microwave missions, optical/thermal infrared sensors can provide surface observations at finer spatial resolution. On the basis of a recently developed approach for deriving all-weather SSM content from satellite images, the present study investigates an optical/thermal remote-sensing-based operational system for mapping finer spatial resolution all-weather soil moisture content in China from the combined use of the Moderate Resolution Imaging Spectroradiometer (MODIS) and the China Meteorological Administration Land Data Assimilation System (CLDAS) meteorological products. A preliminary evaluation of the all-weather SSM retrieval is implemented with field SSM measurements at 461 sites across China. Results show that the root mean square error (RMSE) varies from 0.053 to 0.070m(3) m(-3) with an average RMSE of 0.063m(3) m(-3) and an average bias of -0.018m(3) m(-3) obtained on the six selected days from April to September. These first results of all-weather SSM retrieval indicate that the optical/thermal remote-sensing-based operational system has a promising perspective for mapping SSM with currently available satellite and meteorological products in regional scale. Finally, two practical recommendations with respective to improve the system inputs for producing more reliable SSM products are summarized for further developments of the optical/thermal remote-sensing-based operational system.
资助项目	National Nature Science Foundation of China[41601397] ; National Nature Science Foundation of China[41571367] ; China Postdoctoral Science Foundation[2015M581210]
WOS关键词	SURFACE SHORTWAVE RADIATION ; AIR-TEMPERATURE ; AMSR-E ; SATELLITE ; MODIS ; EVAPOTRANSPIRATION ; PRODUCT ; IMPROVEMENTS ; VALIDATION ; ALGORITHM
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000464043900029
资助机构	National Nature Science Foundation of China ; China Postdoctoral Science Foundation
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/48054]
专题	中国科学院地理科学与资源研究所
通讯作者	Li, Zhao-Liang
作者单位	1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Leng, Pei,Li, Zhao-Liang,Duan, Si-Bo,et al. First results of all-weather soil moisture retrieval from an optical/thermal infrared remote-sensing-based operational system in China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):2069-2086.
APA	Leng, Pei,Li, Zhao-Liang,Duan, Si-Bo,Gao, Mao-Fang,&Huo, Hong-Yuan.(2019).First results of all-weather soil moisture retrieval from an optical/thermal infrared remote-sensing-based operational system in China.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),2069-2086.
MLA	Leng, Pei,et al."First results of all-weather soil moisture retrieval from an optical/thermal infrared remote-sensing-based operational system in China".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):2069-2086.