Field validation of the GLASS land surface broadband emissivity database using pseudo-invariant sand dune sites in northern China

被引:15
作者
Dong, Lixin [1 ]
Hu, Juyang [1 ]
Tang, Shihao [1 ]
Min, Min [1 ]
机构
[1] Natl Satellite Meteorol Ctr, Key Lab Radiometr Calibrat & Validat Environm Sat, Beijing, Peoples R China
关键词
validation; broadband emissivity; field measurement emissivity; GLASS; northern China; DIRECTIONAL EMISSIVITY; ASTER TEMPERATURE; MODIS; SEPARATION; RETRIEVAL; ALGORITHM; DESERT; REFLECTANCE; PRODUCTS; AFRICAN;
D O I
10.1080/17538947.2013.822573
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The land surface broadband emissivity (LSBE) is a key parameter for estimating surface radiation, and there have been many studies of the LSBE at global or local scales. However, few studies have validated the surface emissivity database with multi-point field measurement data using infrared radiometry, especially in China. In this study, we focus on the validation of the emissivity product of the global land surface satellite (GLASS) LSBE database for northern China for the period from 2006 to 2011. Specifically, we have employed an eight-day averaged, gridded emissivity product in the 8-13.5 mu m spectral range produced at a spatial resolution of 1000 m from the Moderate Resolution Imaging Spectrometer albedo product using a new algorithm. The GLASS LSBE database was validated over bare surfaces with field measurement data from sand samples collected at many pseudo-invariant sand dune sites located in western and northwestern China. By comparing measured emissivity for different land surface types at different sites and different times, it was shown that the results were consistent and that the accuracy of the field measurements was reliable. The results of the validation of GLASS LSBE with these field emissivity data showed very good agreement.
引用
收藏
页码:96 / 112
页数:17
相关论文
共 55 条
[1]   Temperature and emissivity retrieval from remotely sensed images using the ''grey body emissivity'' method [J].
Barducci, A ;
Pippi, I .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1996, 34 (03) :681-695
[2]   TEMPERATURE-INDEPENDENT SPECTRAL INDEXES IN THERMAL INFRARED BANDS [J].
BECKER, F ;
LI, ZL .
REMOTE SENSING OF ENVIRONMENT, 1990, 32 (01) :17-33
[3]  
Caselles V., 1995, Remote Sensing Reviews, V12, P311
[4]  
Cheng J., 2012, IEEE T GEOSCIENCE RE, DOI 10.1175/1520-0442(2002)015<less than>3123:TLSCOT<greater than>2.0.CO
[5]  
2
[6]  
CHENG J, 2013, INT J DIGITAL EARTH
[7]   Estimating the Optimal Broadband Emissivity Spectral Range for Calculating Surface Longwave Net Radiation [J].
Cheng, Jie ;
Liang, Shunlin ;
Yao, Yunjun ;
Zhang, Xiaotong .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 10 (02) :401-405
[8]   Temperature and Emissivity Separation From Ground-Based MIR Hyperspectral Data [J].
Cheng, Jie ;
Liang, Shunlin ;
Liu, Qinhuo ;
Li, Xiaowen .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (04) :1473-1484
[9]   Comparison of Radiative Transfer Models for Simulating Snow Surface Thermal Infrared Emissivity [J].
Cheng, Jie ;
Liang, Shunlin ;
Weng, Fuzhong ;
Wang, Jindi ;
Li, Xiaowen .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2010, 3 (03) :323-336
[10]   A Stepwise Refining Algorithm of Temperature and Emissivity Separation for Hyperspectral Thermal Infrared Data [J].
Cheng, Jie ;
Liang, Shunlin ;
Wang, Jindi ;
Li, Xiaowen .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (03) :1588-1597