欧亚国际

较近，来自德国的科学家利用airphen多光谱表型相机发表了树木品系分类以及活力分析的文章，文章题为UAV-Based Multispectral Data for Tree Species Classification and Tree Vitality Analysis。

这是该款表型多光谱成像系统在林业遥感和表型研究领域的一个具体应用，详细文章请参见原文。

北京欧亚国际科技有限公司是法国Hiphen公司中国区总代理，全面负责其系列产品尤其是植物表型成像设备在中国的市场推广、销售和售后服务。

MAX KAMPEN1, STEFAN LEDERBAUER2, JAN-PETER MUND3 & MARKUS IMMITZER2

Abstract: The presented research work tested the suitability of remote sensing via unmanned aerial vehicles (UAV) and multispectral data as a low-cost solution for forestry applications.

High-resolution 6-band multispectral aerial image sequences obtained via UAV acquisition flights in three research areas in Austria were photogrammetrically processed to coherent datasets by the use of Structure-from-Motion technology. Resulting orthomosaics, digital surface and digital terrain models in resolutions from 2.5 – 5 cm were utilised in the subsequent object-based image analysis combined with a Random Forest classification modelling approach. The methodology facilitated tree species classification and vitality analysis with additional predictive mapping.

Our study delivered promising results for the application of UAV-based multispectral datasets in operational forestry. The developed methodology performed reliably in species classification and despite inherent research issue-related uncertainties showed great potential in the detection of differences in tree vitality.