Analysis of spatial characteristics of land surface temperature in Hefei City based on Landsat remote sensing images

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Jun.2023, Vol.46 No.6: 801-807

DOI: 10.3969/j.issn.1003-5060.2023.06.013

Authors

WANG Lu $ ^{1} $, WU Zhaofu $ ^{1} $, YU Min $ ^{1} $, ZHANG Chunju $ ^{1,2} $, ZHANG Chen $ ^{1} $, HUANG Jianwei $ ^{1} $

(1. School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei 230009, China; 2. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China)

Abstract and Keywords

Abstract: The five Landsat images from 2008 to 2020 of Hefei City were selected to analyze the spatial characteristics of land surface temperature (LST). The surface object classification and LST inversion for Baohe, Shushan, Luyang and Yaohai districts were conducted. Then, the geographically weighted regression (GWR) and standard deviation ellipse (SDE) methods were used to analyze the influence degree of impervious layer on LST and its spatial distribution and evolution characteristics, respectively. The results showed that the global fitting coefficients ( $ R^{2} $) between the impervious layer and LST of the four districts were all greater than 0.8 at the 500 m grid scale. The $ R^{2} $ of Baohe district and Luyang district was relatively stable, while the $ R^{2} $ of Shushan district and Yaohai district increased, and the impervious layer changed significantly. From 2008 to 2020, the evolution trend of the ellipse corresponding to the standard deviation of impervious layer was basically consistent with the expansion trend of the corresponding urban area, and the ellipse area showed an increasing trend. The distribution of areas with high heating effect of impervious layer showed a trend from single main urban area development mode to multi-area co-development mode in Hefei City. The research result could provide reference for the future urban planning of Hefei City.

Keywords: urbanization development; impervious layer; land surface temperature(LST); geographically weighted regression(GWR); standard deviational ellipse(SDE)

作者信息

王璐 $ ^{1} $，吴兆福 $ ^{1} $，余敏 $ ^{1} $，张春菊 $ ^{1,2} $，张辰 $ ^{1} $，黄建伟 $ ^{1} $

(1. 合肥工业大学土木与水利工程学院, 安徽合肥 230009; 2. 自然资源部城市国土资源监测与仿真重点实验室, 广东深圳 518000)

摘要和关键词

摘要: 文章以合肥市为例, 选择2008—2020年内5期Landsat影像, 对包河区、蜀山区、庐阳区、瑶海区4个行政区进行地物分类与地表温度反演; 采用地理加权回归(geographically weighted regression, GWR)模型与标准差椭圆(standard deviational ellipse, SDE)分别分析不透水层对地表温度的影响程度及其空间分布演化特征。在500 m格网化划分尺度下, 4个行政区不透水层与地表温度的GWR全局拟合系数 $ R^{2} $基本上大于0.8, 其中包河区与庐阳区的 $ R^{2} $随时间变化相对稳定, 而蜀山区与瑶海区的 $ R^{2} $增加, 不透水层变化显著; 2008—2020年, 不透水层对应SDE演化趋势与对应城区扩张趋势基本一致, 椭圆面积呈增长趋势, 这与合肥市由以主城区为主的发展模式变为多地区共同发展模式相关。研究结果可为合肥市未来城市规划提供参考。

关键词: 城市化发展；不透水层；地表温度；地理加权回归（GWR）；标准差椭圆（SDE）

Funding

自然资源部城市国土资源监测与仿真重点实验室开放基金资助项目（KF-2020-05-084）；中央高校基本科研业务费专项资金资助项目（JZ2021HGTA0169）

合肥工业大学学报(自然科学版)

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