基于无人机影像的沙漠植被生物量反演研究
Research on Desert Vegetation Biomass Inversion Based on UAV Images
刘博 1张学之 1苏光日1
作者信息
- 1. 黑龙江地理信息工程院,黑龙江哈尔滨 150081
- 折叠
摘要
利用无人机遥感影像,采用随机森林算法结合面向对象方法对沙漠植被进行遥感解译并分类,利用特定植被株高、冠幅反演模型对沙漠植被生物量进行定量分析,对沙漠植被生物量研究、沙漠植被分布状况研究、沙漠植被生长状态研究等具有一定的借鉴作用.
Abstract
Using UAV remote sensing images,the random forest algorithm combined with object-oriented methods is used to remotely interpret and classify desert vegetation. A specific vegetation height and crown diameter inversion model is used to quantitatively ana-lyze the biomass of desert vegetation. This paper has certain reference value for the research of desert vegetation biomass,distribution status of desert vegetation,and growth status of desert vegetation.
关键词
无人机影像/遥感解译/反演/生物量Key words
UAV images/remote sensing interpretation/inversion/biomass引用本文复制引用
出版年
2024
NETL
NSTL
万方数据