中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An operational two-layer remote sensing model to estimate surface flux in regional scale: Physical background

文献类型:SCI/SSCI论文

作者Tian J.
发表日期2005
关键词two-layer remote sensing model of surface flux in regional scale PCACA layered energy-separation algorithm thermal-infrared data heat-flux evapo-transpiration temperature vegetation soil evaporation layer
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.
出处Science in China Series D-Earth Sciences
48
225-244
收录类别SCI
语种英语
ISSN号1006-9313
源URL[http://ir.igsnrr.ac.cn/handle/311030/22374]  
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
Tian J.. An operational two-layer remote sensing model to estimate surface flux in regional scale: Physical background. 2005.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。