Retrieval of land surface temperature based on Landsat-8 thermal infrared data and heat island effect analysis over the Taihu Lake region

KAN Zeng-hui; LIU Chao-shun; LI Zhi-jun

doi:10.3969/j.issn.1000-5641.2016.04.015

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Sep. 2016

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Article Navigation > Journal of East China Normal University (Natural Sciences) > 2016 > (4): 129-138

KAN Zeng-hui, LIU Chao-shun, LI Zhi-jun. Retrieval of land surface temperature based on Landsat-8 thermal infrared data and heat island effect analysis over the Taihu Lake region[J]. Journal of East China Normal University (Natural Sciences), 2016, (4): 129-138. doi: 10.3969/j.issn.1000-5641.2016.04.015

Citation:

KAN Zeng-hui, LIU Chao-shun, LI Zhi-jun. Retrieval of land surface temperature based on Landsat-8 thermal infrared data and heat island effect analysis over the Taihu Lake region[J]. Journal of East China Normal University (Natural Sciences), 2016, (4): 129-138. doi: 10.3969/j.issn.1000-5641.2016.04.015

Citation:

KAN Zeng-hui, LIU Chao-shun, LI Zhi-jun. Retrieval of land surface temperature based on Landsat-8 thermal infrared data and heat island effect analysis over the Taihu Lake region[J]. Journal of East China Normal University (Natural Sciences), 2016, (4): 129-138. doi: 10.3969/j.issn.1000-5641.2016.04.015

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Retrieval of land surface temperature based on Landsat-8 thermal infrared data and heat island effect analysis over the Taihu Lake region

doi: 10.3969/j.issn.1000-5641.2016.04.015

1.
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China;
2.
Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai 200241, China;

Received Date: 2015-07-08
Publish Date: 2016-07-25

Abstract

Abstract

Using three different retrieval algorithms based on Landsat-8 thermal infrared data and meteorological data, land surface temperature (LST) of the Taihu Lake region is obtained. After comparing the values of three different algorithms with measured values, we find that the result of radiative transfer equation (RTE) is a good approximation to the measured values. When the real-time atmospheric profile is absent, general single-channel algorithm (SC) is more suitable for land surface temperature retrieval based on Landsat 8 thermal infrared data.The split window algorithm (SW) has the lowest accuracy. After analyzing the LST characteristics of different land cover based on the result of RTE, we find that built-up areas has the highest LST while water body has the lowest LST. There is a negative correlation relationship between the normalized difference vegetation index (NDVI) and the LST values, which indicates that urban green space is a key way to improve urban thermal environment and alleviate urban heat island effect. Finally, after comparing the LST results in year 2000 and 2014, we find that the heat island phenomenon of the Taihu Lake region is increasing in the past 14 years and single existent urban heat islands has gradually become coexistent heat islands now. Building land expansion is the main reason that leads to the increasing of urban heat island.
- Landsat-8TIRS atmospheric radiation transmissionSWSCTaihu Lake region,

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References(1)

References

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