Study on the Influence of Urban Heat Island Effect on Four Seasons Based on Remote Sensing Images

Ting Xu, Huaidong Ma, Wenrui Yao

Abstract


Due to the intensification of anthropogenic heat sources such as traffic, industry, commerce and residential areas in the central area of the city, the near-surface temperature in the area rises, making the urban heat island effect more obvious in the city. Using Landsat remote sensing data as the data source and Beijing as the research area, this paper inverts land surface temperature in spring, summer, autumn and winter of Beijing through radiative transfer equation, and compares four seasons temperature data, four seasons temperature distribution and four seasons heat island effect distribution. The results show that the heat island effect is more obvious in summer than in other four seasons, and the heat island effect is mainly concentrated in the second ring road of Beijing. It can be seen from the distribution map of heat island effect in winter that the heat island effect is mainly distributed in the surrounding area of Beijing city. Burning coal for heating in winter causes the temperature in the surrounding area to rise, and the temperature difference between the area and the suburbs is obvious, and the heat island effect is significant.


Keywords


Landsat Remote Sensing Image; Land Use Classification; Heat Island Effect

Full Text:

PDF

Included Database


References


Mu S. Analysis of Urumqi heat island effect based on Landsat8 remote sensing image [J]. Computer Knowledge and Technology, 2020,(34):230-232.

Zhang Y. Spatial and temporal distribution of NO_2 in the Beijing-Tianjin-Hebei region from 2009 to 2016 [D]. Taiyuan: Shanxi University, 2018.

Long X, Li J, Liu QH. Remote Sensing Technology and Application[J]. 2013,(6): 969-977.




DOI: https://doi.org/10.18686/pes.v5i3.1987

Refbacks

  • There are currently no refbacks.