Journal of Geographical Sciences >
Land surface emissivity change in China from 2001 to 2010
Received date: 2011-12-22
Revised date: 2012-02-02
Online published: 2012-05-04
Supported by
China Global Change Research Program, No.2010CB950902; National Natural Science Foundation of China, No.41071240
Land surface emissivity is one of the important parameters in temperature inversion from thermal infrared remote sensing. Using MOD11C3 of Terra-MODIS L3 level products, spatio-temporal data sets of land surface emissivity in China for 10 years from 2001 to 2010 are obtained. The results show that the land surface emissivity in the northwest desert region is the lowest in China, with little seasonal variations. In contrast, there are significant seasonal variations in land surface emissivity in northeast China and northern Xinjiang, the Qinghai- Tibet Plateau, the Yangtze River Valley and the eastern and southern China. In winter, the land surface emissivity in the northeast China and northern Xinjiang is relatively high. The land surface emissivity of the Qinghai-Tibet Plateau region is maintained at low value from November to March, while it becomes higher in other months. The land surface emissivity of the Yangtze River Valley, eastern and southern China, and Sichuan Basin varies from July to October, and peaks in August. Land surface emissivity values could be divided into five levels: low emissivity (0.6163-0.9638), moderate-low emissivity (0.9639-0.9709), moderate emissivity (0.9710-0.9724), moderate-high emissivity (0.9725-0.9738), and high emissivity (0.9739-0.9999). The percentages of areas with low emissivity, moderate-low emissivity and moderate emissivity are, respectively, about 20%, 10% and 20%. The moderate-high emissivity region makes up 40%-50% of China's land surface area. The inter-annual variation of moderate-high emissivity region is also very clear, with two peaks (in spring and autumn) and two troughs (in summer and winter). The inter-annual variation of the high emissivity region is very significant, with a peak in winter (10%), while only 1% or 2% in other seasons. There is a clear association between the spatio-temporal distribution of China's land surface emissivity and temperature: the higher the emissivity, the lower the temperature, and vice versa. Emissivity is an inherent property of any object, but the precise value of its emissivity depends very much on its surrounding environmental factors.
Key words： remote sensing; land surface emissivity; China
WANG Xinsheng, FAN Jiangwen, XU Jing, LIU Fei, GAO Shoujie, WEI Xincai . Land surface emissivity change in China from 2001 to 2010[J]. Journal of Geographical Sciences, 2012 , 22(3) : 407 -415 . DOI: 10.1007/s11442-012-0935-0
Donald E Sabol Jr, Alan R et al., 2009. Field validation of the ASTER temperature-emissivity separation algorithm. Remote Sensing of Environment, 113 (3): 2328-2344.
French A N, Schmugge T J, Ritchie J C et al., 2008. Detecting land cover change at the Jornada Experimental Range, New Mexico with ASTER emissivities. Remote Sensing of Environment, 112(4): 1730-1748.
Gillespie A, Rokugawa S, Matsunaga T et al., 1998. A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images. IEEE Transactions on Geoscience and Remote Sensing, 36(4): 1113-1126.
Hulley G C, Hook S J, Baldridge A M, 2010. Investigating the effects of soil moisture on thermal infrared landsurface temperature and emissivity using satellite retrievals and laboratory measurements. Remote Sensing of Environment, 114: 1480-1493.
Liang Shunlin, 2009. Quantitative Remote Sensing. Beijing: Science Press. (in Chinese)
Mannstein H, 1987. Surface energy budget, surface temperature, and thermal inertia. Vaughan R A, Reidel D(eds.). Remote Sensing Applications in Meteorology and Climatology, Netherlands, Dordrecht.
Mira M, Valor E, Boluda R et al., 2007. Influence of soil water content on the thermal infrared emissivity of baresoils: Implication for land surface temperature determination. Journal of Geophysical Research-Earth Surface,112(F4): F04003.
Mushkin A, Gillespie A R, 2005. Estimating sub-pixel surface roughness using remotely sensed stereoscopic data. Remote Sensing of Environment, 99(1): 75-83.
Schmugge T, Ogawa K, 2006. Validation of emissivity estimates from ASTER and MODIS data. International Geosci. Remote Sens. Symp., 260-262.
Schmugge T, Ogawa K, French A N, 2005. Validation of the ASTER Temperature Emissivity Separation (TES)algorthim with field measurements. AGU Fall Meeting Abs., Vol.23.
Schmugge T, Ogawa K, French A N et al., 2003. ASTER observations of surface temperature and emissivity over New Mexico test sites. AGU Fall Meeting Abs., Vol. 21.
Snyder W C, Wan Z, Zhang Y et al., 1998. Classification based emissivity for land surface temperature measurementfrom space. International Journal of Remote Sensing, 19: 2753-2774.
Sobrino J A, Jiménez-Muńoz J C, Verhoef W et al., 2005. Canopy directional emissivity: Comparison betweenmodels. Remote Sensing of Environment, 99(3): 304-314.
Su Z, 2002. The surface energy balance system (SEBS) for estimation of turbulent heat fluxes. Hydrology and Earth System Sciences, 16(1): 85-99.
Susskind J, Barnet C D, Blaisdell J M, 2003. Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds. IEEE Transactions on Geoscience and Remote Sensing,41(2): 390?409.
Wan Z M, 2008. New refinements and validation of the MODIS land-surface temperature/emissivity products. Remote Sensing of Environment, 112(1): 59-74.
Wan Z, Zhang Y, Zhang Q et al., 2002. Validation of the land-surface temperature products retrieved from terramoderate resolution imaging spectrometer data. Remote Sensing of Environment, 83: 163-180.
Wan Zhengming, 2008. New refinements and validation of the MODIS land-surface temperature/emissivityproducts. Remote Sensing of Environment, 112: 59-74.
Yan Hao, Wang Changyao, Niu Zheng et al., 2001. Study on variation of land surface temperature in China byusing NOAA/AVHRR data. Remote Sensing Technology & Application, 16(1): 18-22. (in Chinese)
Zhang Renhua, 1999. Quantitative Models of Thermal Infrared Remote Sensing and Ground Experiments. Beijing: Science Press. (in Chinese)
Zhang Yong, Yang Hu, Zheng Zhaojun et al., 2009. Field measurements of meadow surface emissivity spectra atthe Xilinhaote grassland of China. Acta Prataculturae Sinica, 18(5): 31-39. (in Chinese)
/
| 〈 |
|
〉 |