北京测绘2025，Vol.39Issue(2)：210-214,5.DOI:10.19580/j.cnki.1007-3000.2025.02.014
基于Landsat-8影像的土地利用分类与动态变化
Land use classification and dynamic change based on Landsat-8 images
汤文1
作者信息
- 1. 贵州省第三测绘院,贵州 贵阳 550004
- 折叠
摘要
Abstract
This paper utilized the Google earth engine(GEE)platform and the support vector machine(SVM)algorithm to conduct land use classification and dynamic change analysis in the study area.Initially,the Landsat-8 image was preprocessed and sliced by using the GEE platform.A sample dataset was then constructed,incorporating spectral,textural,and shape features.The SVM algorithm was used for land use classification.The results indicate that the combination of the GEE platform and the SVM method can achieve rapid extraction and monitoring of large-scale land use types while maintaining high accuracy.Furthermore,the study performs a dynamic change analysis of land use over different periods.This research provides new approaches and methods for land use monitoring and management based on remote sensing technology,which is of great significance for promoting sustainable agricultural development and protecting land resources.关键词
基于云计算的地理信息处理平台(GEE)/Landsat-8影像/支持向量机(SVM)/土地利用/遥感分类Key words
Google earth engine(GEE)/Landsat-8 images/support vector machine(SVM)/land use(LS)/remote sensing classification(RSC)分类
天文与地球科学引用本文复制引用
汤文..基于Landsat-8影像的土地利用分类与动态变化[J].北京测绘,2025,39(2):210-214,5.
