@inproceedings{77059b5befa24fe69aae2fdd17b4ee24,
title = "Improvement of mono-window algorithm for land surface temperature retrieval integrated with subpixel mapping for Landsat imagery",
abstract = "Since a large proportion of pixels are often composed of mixed land cover types within remote sensing images, how to eliminate the impact of the error resulting from pixel mixing effect in the estimation of land surface emissivity on the accuracy of land surface temperature (LST) retrieval from remote sensing data is a key problem to resolve firstly in process of LST retrieval. Based on the local relationship between the thermal radiance of one pixel and that of its components satisfying the Planck's radiance function, in this paper, the mono-window algorithm was improved by integrating with mixed-pixel classification and sub-pixel mapping for Landsat imagery. Validation indicates that the improved mono-window algorithm is able to provide more accurate LST than the original algorithm for Landsat TM/ETM+ imagery. By applying the improved algorithm to the Landsat image of Shanghai, the result revealed the spatial heterogeneity characteristics of UHI effect in Shanghai city.",
keywords = "Landsat imagery, land surface temperature, mono-window algorithm, remote sensing, sub-pixel mapping",
author = "Xiaoyan Dai and Zhongyang Guo and Chen Chen",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016 ; Conference date: 04-07-2016 Through 06-07-2016",
year = "2016",
month = aug,
day = "25",
doi = "10.1109/EORSA.2016.7552759",
language = "英语",
series = "4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "24--27",
editor = "Paolo Gamba and George Xian and Shunlin Liang and Qihao Weng and Chen, \{Jing Ming\} and Shunlin Liang",
booktitle = "4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016 - Proceedings",
address = "美国",
}