中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimating High-Resolution Urban Surface Temperature Using a Hyperspectral Thermal Mixing (HTM) Approach

文献类型:SCI/SSCI论文

作者Liu K.; Su, H. B.; Li, X. K.; Wang, X.
发表日期2016
关键词High-resolution land surface temperature (LST) hyperspectral remote sensing multiple endmember spectral mixture analysis (SMA) (MESMA) urban application spectral mixture analysis sensible heat-flux impervious surface endmember selection analysis mesma imagery aster area disaggregation separation
英文摘要Land surface temperature (LST) plays an important role in characterizing surface energy fluxes as well as climatology. High-spatial-resolution LST values are needed to profoundly understand urban climatology through identifying its detailed thermal distribution patterns. In this paper, a simple method that uses hyperspectral spectral mixture analysis (SMA) to estimate fine resolution urban LST is presented. The proposed approach takes account of the universal existence of thermally mixed pixels in complex urban areas and includes mainly two steps. In the first step, multiple endmember SMA (MESMA) is applied to calculate land composition fractions. With the retrieved component abundances and associated thermal responses, high-resolution urban LST is estimated through a linear combination of each thermal response component multiplied by its respective abundance in the second step. In particular, hyperspectral data were used to enhance the spatial information extraction through improved accuracy in retrieving land cover abundance. Evaluation of the proposed method was performed at four spatial scales (4, 8, 16, and 32 m) over two scenes with different land cover characteristics. Results show a relatively modest agreement between the estimated LST and the reference LST by both visual interpretation and quantitative accuracy metrics, with a root-mean-square error (RMSE) of 4.18 and 1.71 K as well as the mean absolute error (MAE) of 3.62 and 0.89 K for the two scenes separately. Overall, this approach enhances the application of hyperspectral data for estimating high-spatial-resolution LST; therefore, it can serve as a promising technique in urban applications.
出处Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing
9
2
804-815
收录类别SCI
语种英语
ISSN号1939-1404
源URL[http://ir.igsnrr.ac.cn/handle/311030/43262]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Liu K.,Su, H. B.,Li, X. K.,et al. Estimating High-Resolution Urban Surface Temperature Using a Hyperspectral Thermal Mixing (HTM) Approach. 2016.

入库方式: OAI收割

来源:地理科学与资源研究所

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