Arid
DOI10.1117/12.897951
Scaling from Instantaneous Remote-sensing-based Latent Heat Flux to Daytime Integrated Value with the Help of SiB2
Song, Yi; Ma, Mingguo; Li, Xin; Wang, Xufeng
通讯作者Song, Yi
会议名称Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII/18th International Symposium on Remote Sensing
会议日期SEP 19-21, 2011
会议地点Prague, CZECH REPUBLIC
英文摘要

This research dealt with a daytime integration method with the help of Simple Biosphere Model, Version 2 (SiB2). The field observations employed in this study were obtained at the Yingke (YK) oasis super-station, which includes an Automatic Meteorological Station (AMS), an eddy covariance (EC) system and a Soil Moisture and Temperature Measuring System (SMTMS). This station is located in the Heihe River Basin, the second largest inland river basin in China. The remotely sensed data and field observations employed in this study were derived from Watershed Allied Telemetry Experimental Research (WATER). Daily variations of EF in temporal and spatial scale would be detected by using SiB2. An instantaneous midday EF was calculated based on a remote-sensing-based estimation of surface energy budget. The invariance of daytime EF was examined using the instantaneous midday EF calculated from a remote-sensing-based estimation. The integration was carried out using the constant EF method in the intervals with a steady EF. Intervals with an inconsistent EF were picked up and ET in these intervals was integrated separately. The truth validation of land Surface ET at satellite pixel scale was carried out using the measurement of eddy covariance (EC) system.


英文关键词Instantaneous latent heat flux Daytime Integrated ET evaporative fraction SiB2
来源出版物REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XIII
ISSN0277-786X
出版年2011
卷号8174
EISBN978-0-81948-801-5
出版者SPIE-INT SOC OPTICAL ENGINEERING
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000302735700055
WOS关键词SURFACE PARAMETERIZATION SIB2 ; SONIC ANEMOMETER ; ATMOSPHERIC GCMS ; LAND ; TEMPERATURE ; SYSTEM ; EVAPORATION ; PRODUCTS ; FRACTION ; REGION
WOS类目Remote Sensing ; Optics ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Optics ; Imaging Science & Photographic Technology
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/300048
作者单位Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Song, Yi,Ma, Mingguo,Li, Xin,et al. Scaling from Instantaneous Remote-sensing-based Latent Heat Flux to Daytime Integrated Value with the Help of SiB2[C]:SPIE-INT SOC OPTICAL ENGINEERING,2011.
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