IGSNRR OpenIR
Evaluating Four Remote Sensing Methods for Estimating Surface Air Temperature on a Regional Scale
Liu, Suhua1,2; Su, Hongbo3; Tian, Jing1; Zhang, Renhua1; Wang, Weizhen4; Wu, Yueru4
2017-03-01
Source PublicationJOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
ISSN1558-8424
Volume56Issue:3Pages:803-814
Corresponding AuthorSu, Hongbo(hongbo@ieee.org) ; Tian, Jing(tianj.04b@igsnrr.ac.cn)
AbstractSurface air temperature is a basic meteorological variable to monitor the environment and assess climate change. Four remote sensing methods-the temperature-vegetation index (TVX), the univariate linear regression method, the multivariate linear regression method, and the advection-energy balance for surface air temperature (ADEBAT)-have been developed to acquire surface air temperature on a regional scale. To evaluate their utilities, they were applied to estimate the surface air temperature in northwestern China and were compared with each other through regressive analyses, t tests, estimation errors, and analyses on estimations of different underlying surfaces. Results can be summarized into three aspects: 1) The regressive analyses and t tests indicate that the multivariate linear regression method and the ADEBAT provide better accuracy than the other two methods. 2) Frequency histograms on estimation errors show that the multivariate linear regression method produces the minimum error range, and the univariate linear regression method produces the maximum error range. Errors of the multivariate linear regression method exhibit a nearly normal distribution and that of the ADEBAT exhibit a bimodal distribution, whereas the other two methods display negative skewness distributions. 3) Estimates on different underlying surfaces show that the TVX and the univariate linear regression method are significantly limited in regions with sparse vegetation cover. The multivariate linear regression method has estimation errors within 1 degrees C and without high levels of errors, and the ADEBAT also produces high estimation errors on bare ground.
DOI10.1175/JAMC-D-16-0188.1
WOS KeywordENERGY-BALANCE ; AVHRR DATA ; SPARSE VEGETATION ; VAPOR-PRESSURE ; DAILY MAXIMUM ; MODIS DATA ; HEAT-FLUX ; EVAPOTRANSPIRATION ; AFRICA ; RESISTANCE
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFA0602501] ; National Natural Science Foundation of China[41571356] ; National Natural Science Foundation of China[41671354] ; National Natural Science Foundation of China[41671373] ; National Basic Research Program of China[2013CB733406] ; Key Project of National Natural Science Foundation of China[41301363]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; National Basic Research Program of China ; Key Project of National Natural Science Foundation of China
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000397873400017
PublisherAMER METEOROLOGICAL SOC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64806
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSu, Hongbo; Tian, Jing
Affiliation1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA
4.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Heihe Remote Sensing Expt Res Stn, Lanzhou, Peoples R China
Recommended Citation
GB/T 7714
Liu, Suhua,Su, Hongbo,Tian, Jing,et al. Evaluating Four Remote Sensing Methods for Estimating Surface Air Temperature on a Regional Scale[J]. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY,2017,56(3):803-814.
APA Liu, Suhua,Su, Hongbo,Tian, Jing,Zhang, Renhua,Wang, Weizhen,&Wu, Yueru.(2017).Evaluating Four Remote Sensing Methods for Estimating Surface Air Temperature on a Regional Scale.JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY,56(3),803-814.
MLA Liu, Suhua,et al."Evaluating Four Remote Sensing Methods for Estimating Surface Air Temperature on a Regional Scale".JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY 56.3(2017):803-814.
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