Air temperature retrieval from remote sensing data based on thermodynamics

Air temperature retrieval from remote sensing data based on thermodynamics
复制标题

基于热力学的遥感数据反演气温

DOI:
10.1007/s00704-004-0079-y
复制
发表时间:
2005-01
影响因子:
3.4
通讯作者:
Sun Y J, Wang J F, Zhang R H, Gillies R R, Xue Y &
Sun Y J, Wang J F, Zhang R H, Gillies R R, Xue Y &
中科院分区:
地球科学3区
文献类型:
--
作者:
Sun Y J, Wang J F, Zhang R H, Gillies R R, Xue Y &

文献摘要

参考文献

被引文献

相似文献

提出了一种利用陆面温度反演气温的新方法。这种新方法是以热力学为基础的。利用作物水分胁迫指数和空气动力学阻力两个重要参数建立了地表温度与环境气温之间的定量关系。该方法应用于一个位于华北平原的位置,利用MODIS卫星数据。将气象站的测量值与通过该方法获得的某些像素的空气温度进行比较,表明对于80%以上的处理数据,可以在3 °C的精度内获得导出值。敏感性研究还表明,与模型变量中的测量误差相关的不准确性也在3 °C范围内。
A new approach to retrieving air temperature from land surface temperature is presented. The new method is based on thermodynamics. Two important parameters, namely crop water stress index and aerodynamic resistance, were used to build a quantitative relationship between the land surface temperature and the ambient air temperature. The method was applied using MODIS satellite data for a location situated in the North China Plain. Comparing the measurement values at meteorological stations with air temperature, derived by the method for certain pixels, indicates that derived values can be obtained within an accuracy of 3 °C for more than 80% of data processed. Sensitivity studies also suggest that inaccuracies associated with measurement error in the model variables are also within the 3 °C range.
DOI: 10.1080/02757250009532420
发表时间: 2000-12
期刊: Remote Sensing Reviews
影响因子: --
作者:
S. Liang
通讯作者: S. Liang
DOI: 10.1080/01431160210142851
发表时间: 2003-01
影响因子: 3.4
作者:
B. Bhattacharya;V. Dadhwal
通讯作者: B. Bhattacharya;V. Dadhwal
DOI: 10.1063/1.3128494
发表时间: 2014-02
期刊: --
影响因子: --
作者:
J. Monteith;W. E. Reifsnyder
通讯作者: J. Monteith;W. E. Reifsnyder
DOI: --
发表时间: 1998
影响因子: 3.5
作者:
P. Burrough;R. McDonnell
通讯作者: P. Burrough;R. McDonnell
DOI: 10.1109/igarss.2001.978294
发表时间: 2001-07
期刊: IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)
影响因子: --
作者:
H. Su;Renhua Zhang;Xin-Zhai Tang;Xiao-Ming Sun;Zhilin Zhu;Zhen-min Liu
通讯作者: H. Su;Renhua Zhang;Xin-Zhai Tang;Xiao-Ming Sun;Zhilin Zhu;Zhen-min Liu