Research on the relationship between heat island effect and vegetation based on Landsat data：Taking Kaifeng city as an example

doi:10.14088/j.cnki.issn0439-8114.2021.05.009

Abstract

Abstract: With the continuous development of economy, the urban heat island phenomenon is becoming more and more serious, which not only restricts the green and healthy development of the social economy, but also harms the human health. Based on the data of Landsat5 and Landsat8, the spatial distribution of thermal environment in Kaifeng city was analyzed by using the method of atmospheric correction, and the vegetation cover in Kaifeng city was analyzed, in order to provide reference for green health planning and construction and mitigation of the heat island effect of Kaifeng city. The results showed that the urban heat island effect in Kaifeng city was obvious, and the high temperature mainly concentrated in the urban area of Kaifeng and spreaded to Xiangfu district, Weishi county, Tongxu county, Qi county and Lankao county. The areas of annual average temperature and high temperature zone in Kaifeng were on an upward trend. The areas of middle and sub-high temperature zones in Kaifeng increased significantly, the areas of sub-low temperature zones decreased significantly, and the increase speed of air temperature in urban area was faster than that in suburban area, which provided heat basis for the formation of heat island. There was a negative correlation between land surface temperature and vegetation cover, therefore, in the process of Kaifeng’s economic construction, we should make rational planning for urban land use, strengthen the planning for urban green space, increase the coverage of urban green space, and choose permeable pavement to alleviate Kaifeng’s heat island effect.

Key words: normalized difference vegetation index（NDVI）, Landsat data, heat island effect, land surface temperature, atmospheric correction

CLC Number:

TP79

XU Chang, GAO Rong. Research on the relationship between heat island effect and vegetation based on Landsat data：Taking Kaifeng city as an example[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(5): 48-52.

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