An operational two-layer remote sensing model to estimate surface flux in regional scale: Physical background

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	An operational two-layer remote sensing model to estimate surface flux in regional scale: Physical background
	Zhu Zhilin; Tian Jing; Sun Xiaomin
	2005
关键词	Algorithms Calibration Image analysis Reliability
英文摘要	Based on the improved interaction mechanism of two-layer model, this paper proposed Pixel Component Arranging and Comparing Algorithm (PCACA) and theoretically positioning algorithm, estimated the true temperature of mixed pixel in four extreme points in combination with the measurements of dry and wet points in calibration fields and improved the reliability of positioning dry and wet line. A new two-layer energy-separation algorithm was proposed, which was simple and direct without resistance network parameters for each pixel. We also proposed a new thought about the effect of advection. The albedo of mixed pixel was also separated with PCACA. In combination with two-layer energy-separation algorithm, the net radiation of mixed pixel was separated to overcome the uncertainty of conventional energy-separation algorithm using Beer's Law. Through the validation of retrieval result, this method is proved to be feasible and operational. At the same time, the uncertainty of this algorithm was objectively analyzed. Copyright by Science in China Press 2005.
出处	Science in China, Series D: Earth Sciences
卷	48 期:SUPPL.1 页:225-244
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/24381]
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	Zhu Zhilin,Tian Jing,Sun Xiaomin. An operational two-layer remote sensing model to estimate surface flux in regional scale: Physical background. 2005.