Inversion of land surface temperature by remote sensing technology: a case study of Shapingba District in Chongqing

Nana Liu; Jazuri Abdullah

doi:10.1117/12.2667673

10 February 2023 Inversion of land surface temperature by remote sensing technology: a case study of Shapingba District in Chongqing

Nana Liu, Jazuri Abdullah

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Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125521V (2023) https://doi.org/10.1117/12.2667673
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

The urban heat island effect is the result of the rapid development of urbanization, and modern life creates huge amounts of heat. Land surface temperature is a key parameter to measure the water and heat balance of the Earth's surface and an important index to reflect the urban heat island effect. Retrieving land surface temperature by remote sensing technology is a commonly used method at present. Remote sensing monitoring method is the biggest advantage of the continuity of data acquisition, integrity, and real time, so as to make up and overcome the shortcomings of traditional methods, and can reveal the spatial distribution of urban heat island from the macro and change rule, but also from the micro level to reveal spatial and temporal variation characteristics of heat island effect, thus to alleviate provide more scientific conclusion on the basis of the urban heat island effect. This paper uses remote sensing technology to retrieve the land surface temperature in Shapingba District of Chongqing in recent 20 years. Analyzing the land surface temperature data and comparing it with the data of land use type change in this area provides the basis for the future urban construction planning in this area.

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Nana Liu and Jazuri Abdullah "Inversion of land surface temperature by remote sensing technology: a case study of Shapingba District in Chongqing", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125521V (10 February 2023); https://doi.org/10.1117/12.2667673

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KEYWORDS

Remote sensing

Thermal effects

Technology

Temperature metrology

Air temperature

Climatology

Humidity

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