Abstract

Abstract. In this paper, satellite image, remote sensing technique and geographic information system technique are main technical bases. Spectral and other factors comprehensive analysis and visual interpretation are main methods. We use GF-1 and Landsat8 remote sensing satellite image of Wuhan as data source, and from which we extract vegetation distribution, urban heat island relative intensity distribution map and urban flood submergence range. Based on the extracted information, through spatial analysis and regression analysis, we find correlations among heat island effect, vegetation coverage and urban flood. The results show that there is a high degree of overlap between of urban heat island and urban flood. The area of urban heat island has buildings with little vegetation cover, which may be one of the reasons for the local heavy rainstorms. Furthermore, the urban heat island has a negative correlation with vegetation coverage, and the heat island effect can be alleviated by the vegetation to a certain extent. So it is easy to understand that the new industrial zones and commercial areas which under constructions distribute in the city, these land surfaces becoming bare or have low vegetation coverage, can form new heat islands easily.

Highlights

  • In this paper, satellite image, remote sensing technique and geographic information system technique are main technical bases

  • The overlay analysis results of the urban flood submergence range map and the vegetation distribution map show that there is a high probability of flooding in places where vegetation cover is poor.In the process of urbanization, large areas of farmland and vegetation are replaced by streets, factories, and residential buildings

  • Based on the extracted information, through spatial analysis and regression analysis, we find correlations among heat island effect, vegetation coverage and urban flood

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Summary

INSTRUCTIONS

With the accelerating urbanization process and the increasing city size, the urban form, function and other aspects have undergone a strong change (LUBER G, 2008a). These changes have a great impact on ecological environment especially the land surface temperature. It’s causes globally change of regional climate and urban atmospheric environment and increase the urban energy consumption and air pollution, trigger urban natural disaster, subsequently damage people’s health (ZHENG B J, 2014a). Heat island effect causes strong air convection above the city, causes severe convection weather, which directly lead to heavy rainfalls or storms. It is significant to study on the coupling of urban heat island, vegetation cover and urban flood for urban planning and construction, protecting ecological environment and improving the quality of life and other field applications

Overview
Data sources and pre-process
Land surface temperature retrieval
Vegetation coverage inversion
Urban rainfall flood range extraction
Heat island characteristics analysis
Coupling analysis of heat island and vegetation coverage
Coupling analysis of heat island and urban rainfall flood
Coupling analysis of vegetation coverage and urban rainfall flood
Findings
CONCLUSION
Full Text
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