%0 Journal Article
%T 基于Landsat遥感数据城市不透水层信息提取与分析<br>Extraction and Analysis of Urban Impervious Layer Information Based on Landsat Remote Sensing Data
%A 李巽云
%J Geographical Science Research
%P 434-445
%@ 2168-5770
%D 2024
%I Hans Publishing
%R 10.12677/gser.2024.132042
%X 不透水层作为一种典型的地表覆盖成分，是衡量城市化水平的标准之一，同时也是衡量城市的生态环境的重要指标。本研究以南京市为研究区，以2013~2018年Landsat8影像为数据源，提取不透水层并反演地表温度，分析了2013~2018年南京市不透水层的时空变化以及不透水层与地表温度之间的相关性。研究结果表明：1) 南京市11个行政区县中，鼓楼区不透水层所占的面积最大，六合区所占的面积最小。2) 南京市的不透水面积随时间的推移而增大，越接近市中心的区县，不透水层覆盖面积越大。3) 不透水层与地表温度的相关性较高。<br />
Impervious layer, as a typical surface covering component, is one of the standards to measure the level of urbanization and an important indicator to measure the ecological environment of a city. In this study, Nanjing was taken as the study area, and Landsat8 images from 2013 to 2018 were taken as the data source to extract impermeable layer and invert surface temperature. The spatial and temporal changes of impervious layer and the correlation between impervious layer and surface temperature in Nanjing from 2013 to 2018 were analyzed. The results show that: 1) Among the 11 administrative districts and counties in Nanjing, Gulou district occupies the largest area of impervious layer, while Liuhe district occupies the smallest area. 2) The impervious layer of Nanjing increases with the passage of time. The closer to the downtown area, the greater the impervious layer coverage area. 3) Impervious layer has a high correlation with surface temperature.
%K 不透水层，NDISI指数，地表温度反演，时空变化分析<br>Impervious Layer
%K NDISI Index
%K Inversion of Surface Temperature
%K Spatio-Temporal Change Analysis
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=85774