Characterization of variability at in situ locations for calibration/validation of satellite-derived land surface temperature data

被引：21

作者：

Hale, Robert C. ^{[1
]}

Gallo, Kevin P. ^{[2
]}

Tarpley, Dan ^{[3
]}

Yu, Yunyue ^{[2
]}

机构：

[1] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA

[2] NOAA NESDIS Ctr Satellite Applicat & Res, Camp Springs, MD USA

[3] Short & Associates Inc, Chevy Chase, MD USA

来源：

REMOTE SENSING LETTERS | 2011年 / 2卷 / 01期

关键词：

VALIDATION; SURFRAD; ASTER;

D O I：

10.1080/01431161.2010.490569

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Calibration and validation (cal/val) of data derived from satellite-based instruments is critical to providing accurate global measurements of environmental variables at useful spatial and temporal resolutions. In this letter, statistical models based on linear regressions employing various predictor variables were utilized to elucidate appropriate methods of characterizing variability near ground sites that might be used for calibration and validation. Regressions based on more complex statistics performed no better than those based on easily derived statistics, and the regression relations provided valuable information for assessing the potential quality of satellite-based measures of land surface temperature.

引用

页码：41 / 50

页数：10

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