Arid
Intercomparison of Evapotranspiration Models Using Remote Sensing Date and Ground Measurements during the MUSOEXE-12 Campaign
Jia, Zhenzhen1; Liu, Shaomin1; Xu, Ziwei1; Liang, Shunlin2
通讯作者Jia, Zhenzhen
会议名称2nd International Conference on Agro-Geoinformatics (Agro-Geoinformatics)
会议日期AUG 12-16, 2013
会议地点Fairfax, VA
英文摘要

An intercomparison of evapotranspiration estimation for three semi-empirical regression algorithms, and five remote sensing models developed from the traditional evapotranspiration estimation approaches was proposed in this study. These models were evaluated at both the local and regional scales using the dataset of MOSUEXE-12 campaign which was an experiment including a flux observation matrix. From the accuracy assessment and the error source analysis, different performances of these models were shown on the different scales, as well as the diverse landscape types, vegetation growing periods, and meteorological conditions. The results will be valuable to the development of evapotranspiration models and their applications, especially in an arid and semi-arid area.


英文关键词evapotranspiration intercomparison MUSOEXE-12 campaign remote sensing
来源出版物2013 SECOND INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS)
ISSN2334-3168
出版年2013
页码220-225
EISBN*****************
出版者IEEE
类型Proceedings Paper
语种英语
国家Peoples R China;USA
收录类别CPCI-S
WOS记录号WOS:000342772000044
WOS关键词APERTURE SCINTILLOMETER MEASUREMENTS ; ENERGY BALANCE ALGORITHM ; EVAPORATIVE FRACTION ; SURFACE EVAPORATION ; HEAT-FLUX ; MODIS ; TEMPERATURE ; SOIL
WOS类目Computer Science, Information Systems ; Geography, Physical ; Remote Sensing
WOS研究方向Computer Science ; Physical Geography ; Remote Sensing
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/301515
作者单位1.Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China;
2.Univ Maryland, Dept Geograph Sci, College Pk, MD 20742 USA
推荐引用方式
GB/T 7714
Jia, Zhenzhen,Liu, Shaomin,Xu, Ziwei,et al. Intercomparison of Evapotranspiration Models Using Remote Sensing Date and Ground Measurements during the MUSOEXE-12 Campaign[C]:IEEE,2013:220-225.
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