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REMOTE SENSING FOR LAND & RESOURCES    2014, Vol. 26 Issue (2) : 134-139     DOI: 10.6046/gtzyyg.2014.02.22
Technology Application |
Remote sensing estimating of urban impervious surface area and land surface temperature
YANG Keming1, ZHOU Yujie1, QI Jianwei2, WANG Linwei1, LIU Shiwen1
1. College of Geoscience and Surveying Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China;
2. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China
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Abstract  This paper aimed at exploring the relationship between the impervious surfaces area (ISA) and the land surface temperature (LST), and estimating ISA and LST in Haidian District, Beijing by using TM remote sensing data based on the vegetation-impervious surface-soil (V-I-S) model and the mixed pixel decomposition method of fully constrained least squares (FCLS). Furthermore, qualitative analysis and quantitative evaluation were made based on the estimated results. It can be found that there exists an obvious consistency between the spatial distribution and the variation trend of urban ISA and LST, with the correlation coefficient being 0.752 5. The ISA information could be a better indicator to reflect the spatial distribution of heat flux in urban environment.
Keywords forested wetland      remote sensing techniques      hydrological inversion      wetlands classification      wetlands mapping     
:  TP75  
Issue Date: 28 March 2014
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YAN Tingting
BIAN Hongfeng
LIAO Guixiang
SHENG Lianxi
ZHANG Jishun
GAO Minghui
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YAN Tingting,BIAN Hongfeng,LIAO Guixiang, et al. Remote sensing estimating of urban impervious surface area and land surface temperature[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(2): 134-139.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.02.22     OR     https://www.gtzyyg.com/EN/Y2014/V26/I2/134
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