Research on Remote Sensing Dynamic Monitoring of Urban Expansion in Linchuan Area

以抚州市临川区为主要研究对象，应用神经网络的监督分类方法从三个不同时期的Landsat遥感影像中进行影像分类，提取出不同土地利用类型信息，并对临川区在城市扩张过程中的土地利用变化情况进行分析发现，在2006~2017年，城市建筑区同比增加了17.6%；其扩张的趋势主要受自然地理环境、经济发展和人口增长等因素的影响。Using the Landsat remote sensing images from three different time periods as the main research object, the study applies the supervised classification method of neural networks to classify the images and extract information on different land use types, with the focus on Lucheng District, Fuzhou City. The study then analyzes the land use changes in Lucheng District during the process of urban expansion and finds that the area of built-up land increased by 17.6% from 2006 to 2017. The trend of urban expansion is mainly influenced by natural geographic environment, economic development, and population growth.