Land surface emissivity retrieval from combined mid-infrared and thermal infrared data of MSG-SEVIRI

被引:125
作者
Jiang, Geng-Ming [1 ]
Li, Zhao-Liang [1 ]
Nerry, Francoise [1 ]
机构
[1] ENSPS, TRIO, LSIIT, UMR 7005, F-67412 Illkirch Graffenstaden, France
关键词
MSG-SEVIRI; land surface emissivity; atmospheric correction; diurnal temperature cycle (DTC); TISI concept;
D O I
10.1016/j.rse.2006.07.015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This work addressed the retrieval of Land Surface Emissivity (LSE) from combined mid-infrared and thermal infrared data of Spinning Enhanced Visible and Infra-Red Imager (SEVIRI) onboard the geostationary satellite-Meteosat Second Generation (MSG). To correct for the atmospheric effects in satellite measurements, a new atmospheric correction scheme was developed for both Middle Infra-Red (MIR) and Thermal Infra-Red (TIR) channels. For the MIR channel, because it is less sensitive to the change of water vapor content, the clear-sky and time-nearest European Centre for Median-range Weather Forecast (ECMWF) atmospheric data were used for the images where no atmospheric data are available. For TIR channels, a modified model of Diurnal Temperature Cycle (DTC) used by Gottsche and Olesen [Gottsche, F. M., and Olesen, F. S. (2001). Modeling of diurnal cycles of brightness temperature extracted from METEOSAT data. Remote Sensing of Environment, 76, 337-348.] and Schadlich et al. [Schadlich, S., Gottsche, F. M., and Olesen, F. S. (2001). Influence of land surface parameters and atmosphere on METEOSAT brightness Temperatures and generation of land surface temperature maps by temporally and spatially interpolating atmospheric correction. Remote Sensing of Environment, 75, 39-46.] was adopted. The separation of Land Surface Temperature (LST) and LSE is based on the concept of the Temperature Independent Spectral Indices (TISI) [Becker, F., and Li, Z. L. (1990a). Temperature independent spectral indices in thermal infrared bands. Remote Sensing of Environment, 32, 17-33.] constructed with one channel in MIR and one channel in TIR. The results of two different combinations (combination of channels 4 and 9 and of channels 4 and 10) and two successive days at six specific locations over North Africa show that the retrievals are consistent. The range of emissivity in MSG-SEVIRI channel 4 goes from 0.5 for bare areas to 0.96 for densely vegetated areas, whereas the emissivities in MSG-SEVIRI channels 9 and 10 are usually from 0.9 to 0.95 for bare areas and from 0.95 to 1.0 for vegetated areas. For densely vegetated areas, the emissivities in MSG-SEVIRI channel 9 are larger than the ones in channel 10, whereas the opposite is observed over bare areas. The rms differences between two combinations over the whole studied region are 0.017 for emissivity in channel 4, 0.008 for emissivity in channel 9 and 0.007 for emissivity in channel 10. (c) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码:326 / 340
页数:15
相关论文
共 24 条
[1]   TEMPERATURE-INDEPENDENT SPECTRAL INDEXES IN THERMAL INFRARED BANDS [J].
BECKER, F ;
LI, ZL .
REMOTE SENSING OF ENVIRONMENT, 1990, 32 (01) :17-33
[2]   TOWARDS A LOCAL SPLIT WINDOW METHOD OVER LAND SURFACES [J].
BECKER, F ;
LI, ZL .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1990, 11 (03) :369-393
[3]   Separating surface emissivity and temperature using two-channel spectral indices and emissivity composites and comparison with a vegetation fraction method [J].
Dash, P ;
Göttsche, FM ;
Olesen, FS ;
Fischer, H .
REMOTE SENSING OF ENVIRONMENT, 2005, 96 (01) :1-17
[4]   A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images [J].
Gillespie, A ;
Rokugawa, S ;
Matsunaga, T ;
Cothern, JS ;
Hook, S ;
Kahle, AB .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (04) :1113-1126
[5]   Surface temperature and emissivity separability over land surface from combined TIR and SWIR AVHRR data [J].
Goita, K ;
Royer, A .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1997, 35 (03) :718-733
[6]   Modelling of diurnal cycles of brightness temperature extracted from METEOSAT data [J].
Göttsche, FM ;
Olesen, FS .
REMOTE SENSING OF ENVIRONMENT, 2001, 76 (03) :337-348
[7]   A COMPARISON OF TECHNIQUES FOR EXTRACTING EMISSIVITY INFORMATION FROM THERMAL INFRARED DATA FOR GEOLOGIC STUDIES [J].
HOOK, SJ ;
GABELL, AR ;
GREEN, AA ;
KEALY, PS .
REMOTE SENSING OF ENVIRONMENT, 1992, 42 (02) :123-135
[8]   SEPARATION OF TEMPERATURE AND EMITTANCE IN REMOTELY SENSED RADIANCE MEASUREMENTS [J].
KAHLE, AB ;
ALLEY, RE .
REMOTE SENSING OF ENVIRONMENT, 1992, 42 (02) :107-111
[9]   FEASIBILITY OF LAND SURFACE-TEMPERATURE AND EMISSIVITY DETERMINATION FROM AVHRR DATA [J].
LI, ZL ;
BECKER, F .
REMOTE SENSING OF ENVIRONMENT, 1993, 43 (01) :67-85
[10]   A physically based algorithm for land surface emissivity retrieval from combined mid-infrared and thermal infrared data [J].
Li, ZL ;
Petitcolin, F ;
Zhang, RH .
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2000, 43 (Suppl 1) :23-33