Study on the coupling relationship between carbon emission and urban thermal field

Carbon emissions closely relate to the urban thermal environment, helping adjust emission reduction policies and develop a regional low-carbon economy through their impact on it. In this study, the annual mean surface temperature of Shanghai and Urumqi was inverted using the GEE platform and the atmospheric correction method, the fishing net was created and the values were extracted to the points through ArcGis, and the bivariate Moran's index correlation between the carbon emissions and the annual mean temperature of the study area was analysed using GEODA. The results show that: (1) The global Moran index of carbon emissions in Shanghai and Urumqi are both positively correlated, with significant clustering characteristics in space. The global Moran's index of annual mean surface temperature in Shanghai is not significant and Urumqi shows significant clustering but with a lower degree of clustering. (2) From the bivariate local Moran's index, The centre of Shanghai and the southern part of Baoshan District show high - high agglomeration characteristics, while the coastal areas show low - low agglomeration characteristics, which are not significant in the south. Urumqi presents high - high agglomeration in the south-eastern district of Misheng, low - low clustering in the south-western direction with the eastern part of Dabancheng district, The centre is the Basin Desert, so the correlation is not significant. (3) According to the local correlation analysis of the bivariate Moran index, both sites are coupled within the high - high clustering range, and the other ranges are less affected by it, with limitations.