首页|基于无人机影像的沙漠植被生物量反演研究

基于无人机影像的沙漠植被生物量反演研究

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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.
Research on Desert Vegetation Biomass Inversion Based on UAV Images
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.

UAV imagesremote sensing interpretationinversionbiomass

刘博、张学之、苏光日

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黑龙江地理信息工程院,黑龙江哈尔滨 150081

无人机影像 遥感解译 反演 生物量

2024

测绘与空间地理信息
黑龙江省测绘学会

测绘与空间地理信息

影响因子:0.788
ISSN:1672-5867
年,卷(期):2024.47(z1)
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