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	Estimation of bare surface soil moisture using geostationary satellite data
	Zhang X. Y. ; Tang B. H. ; Jia Y. Y. ; Li Z. L. ; Ieee
	2007
关键词	surface soil moisture diurnal land surface temperature lag time geostationary satellite data MSG thermal inertia water-content
页码	1931-1934
英文摘要	Surface soil moisture is a key variable in computing several important variables of the land energy and water budget (albedo, hydraulic conductivity etc). At the same time, surface soil moisture affects the diurnal change of surface temperature. Meteorological satellite data have great potential for providing estimation of surface soil moisture with high temporal resolution on a daily basis. This paper compares some relationship between the parameters derived by fitting Land Surface Temperature (LST) with its diurnal cycle model and surface soil moisture, The results showed that lag time (the difference of the time corresponding to maximum surface temperature and that to maximum solar net short-wave radiation) is most correlated to surface soil moisture.
收录类别	CPCI
会议录出版者	Ieee
语种	英语
ISBN号	978-1-4244-1211-2
内容类型	会议论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/25409]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Zhang X. Y.,Tang B. H.,Jia Y. Y.,et al. Estimation of bare surface soil moisture using geostationary satellite data[C]. 见:.

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