The Classification Characteristics and Dynamic Changes of Desert Vegetation Based on Unmanned Aerial Vehicle Remote Sensing

Kun Yue, Penghui Li
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Abstract

The common ground sample method of vegetation survey requires a lot of manpower and time. Meanwhile, many vegetation information may not be revealed because the scale of standard sample is usually only 100 m2. For this reason, this study developed a set of desert vegetation sample survey method based on UAV technology, and further developed a set of vegetation spatial distribution pattern analysis method based on it, and carried out an empirical study with typical shrub communities in Inner Mongolia as an example. It is expected to provide scientific basis for wind and sand control, vegetation restoration and ecological construction in the ecologically fragile area at the edge of Inner Mongolia.
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基于无人机遥感的沙漠植被分类特征与动态变化
常用的地面样地植被调查方法需要耗费大量的人力和时间。同时,由于标准样品的尺度通常只有100 m2,因此可能无法揭示许多植被信息。为此,本研究开发了一套基于无人机技术的荒漠植被样本调查方法,并在此基础上进一步开发了一套植被空间分布格局分析方法,并以内蒙古典型灌木群落为例进行了实证研究。为内蒙古边缘生态脆弱区风沙治理、植被恢复和生态建设提供科学依据。
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来源期刊
Journal of Biobased Materials and Bioenergy
Journal of Biobased Materials and Bioenergy 工程技术-材料科学:生物材料
自引率
0.00%
发文量
60
审稿时长
6 months
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