广东水利水电Issue(4)：92-96,5.
基于多源遥感数据的城市不透水面提取研究
Research on Extraction of Urban Impervious Surface Based on Multi-source Remote Sensing Data
严传勇1
作者信息
- 1. 惠州市华禹水利水电工程勘测设计有限公司,广东 惠州 516000
- 折叠
摘要
Abstract
The expansion of cities has changed the surface type.Land types such as farmland and water areas have been replaced by impermeable surfaces such as cement asphalt,which can easily cause damage to the ecosystem.Estimating impermeable surfaces is of great significance in building ecological sponge cities.This study uses multi-source remote sensing data to construct an urban impervious surface extraction method through the random forest method,and extracts and verifies the impervious surface in a typical experimental area in Guangzhou.The results show that its overall classification accuracy is higher than 90%,and it has good effect in suppressing misclassification and missing classification.The research can provide technical reference for impermeable surface extraction.关键词
不透水面/随机森林/遥感Key words
impermeable surface/random forest/remote sensing分类
天文与地球科学引用本文复制引用
严传勇..基于多源遥感数据的城市不透水面提取研究[J].广东水利水电,2025,(4):92-96,5.
