摘要
崩塌、滑坡和泥石流等地质灾害在山区发生频率高,其形成发育有着不同的机理,在遥感影像上呈现不同的形态、纹理等特征,不同区域的地质灾害发育特征存在一定差异,利用多源数据,分析不同地质灾害类型的遥感解译机理,应用地理空间数据分析、决策树建模等方法,选取植被、土壤亮度等指数,针对不同的地质灾害类型,使用不同的方法和指标,提取地质灾害信息,取得较高的精度。
Geological disasters, such as collapse, landslide and debris flow occur frequently in mountainous areas, and their formation and development, have different mechanisms. They show different shapes, textures and other characteristics on remote sensing images. There are certain differences in the development characteristics of geological disasters in different regions. Using multi-source data, the remote sensing interpretation mechanisms of different types of geological disasters are analyzed. Based on geospatial data analysis, decision tree modeling and other methods, vegetation, soil brightness and other indexes are selected,aiming at different types of geological hazards, different methods and indicators are used to extract geological hazard information, and high accuracy is achieved.
出处
《科技创新与应用》
2023年第1期93-96,共4页
Technology Innovation and Application
关键词
地质灾害
遥感解译
信息提取
机理研究
数据分析
geological disaster
remote sensing interpretation
information extraction
mechanism study
data analysis
