Urban expansion based on remote sensing extraction of impervious surface information

被引:0
|
作者
Kang, Weifeng [1 ]
Chen, Dayong [1 ]
机构
[1] Quanzhou Normal Univ, Sch Resources & Environm Sci, Quanzhou 362000, Fujian, Peoples R China
关键词
impervious surface; improved normalised difference impervious surface index; object-based image analysis; OBIA; image segmentation; TIME-SERIES;
D O I
10.1504/IJHST.2024.139411
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Impervious surface is an important evaluation factor for the study of urban regional expansion and its social and environmental effects using remote sensing technology and the city has expanded rapidly, which is obviously reflected in the great changes in the impervious surface. 3S technology was relied on to study the classification method of urban impervious surfaces in this area and to explore the dynamic change law of urban impervious surfaces, and its driving force has the dual value of scientific research and social economy. This paper explores the computer automatic extraction method of impervious surface in my country in the past 20 years by using the time series Landsat TM images and object-based image analysis and processing technology and laws to explore the changes and internal causes of urban expansion. Moreover, this method can be utilised for hydrological modelling, flood mapping and monitoring, water quality monitoring, and urban heat island analysis.
引用
收藏
页数:19
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