Peng Xiaoxue, Wu Wenyuan, Zheng Yaoyao, Sun Jingyi, Hu Tangao, Wang Pin
Institute of Remote Sensing and Earth Sciences, College of Science, Hangzhou Normal University, Hangzhou, 311121, China.
Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Hangzhou, 311121, China.
Sci Rep. 2020 Jun 26;10(1):10451. doi: 10.1038/s41598-020-67423-6.
In addition to human activities, this study found that topography is also an important factor affecting land surface temperature (LST). In this paper, based on Landsat 8 OLI/TIRS remote sensing images, a radiative transfer model was adopted to retrieve the LST, and a maximum likelihood method was used to remove artificial environmental interference factors, such as water bodies and built-up lands. This paper aims to analyze the influence of topographic factors, such as elevation, slope, aspect and shaded relief, on the LST of Hangzhou. By means of a statistical analysis, we obtained the quantitative relationship between these factors and constructed a multiple linear regression model of terrain factors and LST. The research revealed the following findings: (1) in the study area, elevation and slope are negatively correlated with LST, and all the factors have linear relationships with LST. (2) The relationship between aspect and LST is not significant, and high values of LST are found on the southern, southeastern and southwestern slopes; the lowest values are found on the northern slopes. (3) There is a significant linear relationship between the values of the shaded relief map and LST, and the more shadows there are, the lower the LST value will be. (4) After comprehensive analysis of the influence of the abovementioned topographic factors on the LST, it is found that shaded relief has the greatest contribution and is positively correlated with LST. The influence of shaded relief on surface thermal environment should be paid more attention in the process of surface thermal environment work. The assessment of the influence degree of shaded relief and surface thermal environment should be the premise and basis for many other studies.
除人类活动外，本研究发现地形也是影响地表温度（LST）的一个重要因素。本文基于Landsat 8 OLI/TIRS遥感影像，采用辐射传输模型反演地表温度，并运用最大似然法去除水体和建设用地等人工环境干扰因素。本文旨在分析海拔、坡度、坡向和阴影起伏等地形因素对杭州地表温度的影响。通过统计分析，我们得出了这些因素之间的定量关系，并构建了地形因素与地表温度的多元线性回归模型。研究得出以下结果：（1）在研究区域内，海拔和坡度与地表温度呈负相关，且所有因素与地表温度均呈线性关系。（2）坡向与地表温度的关系不显著，地表温度较高值出现在南坡、东南坡和西南坡；最低值出现在北坡。（3）阴影起伏图的值与地表温度之间存在显著的线性关系，阴影越多，地表温度值越低。（4）综合分析上述地形因素对地表温度的影响后发现，阴影起伏的贡献最大，且与地表温度呈正相关。在地表热环境工作过程中，应更加关注阴影起伏对地表热环境的影响。阴影起伏与地表热环境影响程度的评估应是许多其他研究的前提和基础。
