DOI: 10.1016/j.jag.2013.01.001
Scopus记录号: 2-s2.0-84880374919
论文题名: Estimating very high resolution urban surface temperature using a spectral unmixing and thermal mixing approach
作者: Deng C ; , Wu C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 155
结束页码: 164
语种: 英语
英文关键词: Impervious surface fraction
; Land surface temperature
; Spectral unmixing
; Thermal mixing
Scopus关键词: accuracy assessment
; airborne sensing
; data acquisition
; estimation method
; image resolution
; land surface
; remote sensing
; spectral resolution
; surface temperature
; Thermal Infrared Multispectral Scanner
; urban area
英文摘要: Land surface temperature (LST) plays a critical role in characterizing energy exchanges of the Earth's surface and atmosphere. Recent advances in thermal infrared (TIR) remote sensing technology enable the emergence of airborne very-high-resolution (VHR) TIR sensors to identify detailed LST distribution for environmental, geological and urban applications. However, the usage of airborne VHR TIR data may be limited by its high cost, longacquisition period, extensive data processing, etc. A cost-effective alternative could beVHR LST estimation. We proposed a physically based method, referred to as the VHR spectral unmixing and thermal mixing (VHR-SUTM) approach, to estimate LST at the meter level. Particularly, considering both spectral and thermal properties, spectral unmixing was employed to estimate fractional urban compositions for a comprehensive representation of heterogeneous urban surfaces. Further, VHR LST was modeled as a summation of the thermal features of representative urban compositions weighted by their respective abundances. Resultssuggest a high agreement between the resampled VHR LST estimates and the retrieved LSTs. With relatively high estimation accuracy (RMSE of 2.02 K and MAE of 1.51 K), the VHR-SUTMtechnique could serve as a promising and practical method for various applications in urban and environment studies. © 2012 Published by Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79847
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography, University of Wisconsin-Milwaukee, P.O. Box 413, Milwaukee, WI 53201, United States
Recommended Citation:
Deng C,, Wu C. Estimating very high resolution urban surface temperature using a spectral unmixing and thermal mixing approach[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)