Abstract
It is of great significance for analysis between land cover and land surface temperature (LST) which could improve the urban thermal environment. In this paper, we obtained the LST by the Radiative Transfer Equation method based on Landsat-8 data in 2021. The relationship between LST and land cover was analyzed by rasterizing to a grid size of 100 m × 100 m. The landscape index was obtained to analyze the characteristics of LST under different landscape patterns such as patch density, largest patch index, edge density, Shannon’s diversity index and aggregation index. The result showed, the cooling effect of the water area was obvious with 9° lower than building(s) and structure which had a negative correlation with LST, however bare surface, planting and vegetation had a low correlation. The edge complexity of different land cover types seemed quite different with high plaque fragmentation. The largest aggregation index was highest in water area and higher in forest and grass areas. The edge density of forest and grass was largest. All the landscape indexes had a certain correlation with LST.
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Acknowledgements
This work is mainly supported by Research on key technologies of remote sensing monitoring for ecological restoration of open-pit mine based on LiDAR (Grant No. CSTB2022NSCQ-MSX1484) and the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN202103410).
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Li, L., Wu, F., Zheng, Z. (2023). Research on the Relationship Between Geographical Conditions Monitoring Data and Land Surface Temperature. In: Yuan, C., Huang, S., Wang, X., Chen, Z. (eds) Proceedings of 4th International Conference on Resources and Environmental Research—ICRER 2022. ICRER 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-31808-5_9
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DOI: https://doi.org/10.1007/978-3-031-31808-5_9
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