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首页> 外文期刊>Journal of Applied Remote Sensing >Acquisitions and applications of forest canopy hyperspectral imageries at hotspot and multiview angle using unmanned aerial vehicle platform
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Acquisitions and applications of forest canopy hyperspectral imageries at hotspot and multiview angle using unmanned aerial vehicle platform

机译：无人空中车平台的热点和多视角林冠俯瞰成像的收购与应用

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The accurate retrieval of forest functional and structural parameters is of great significance in the scientific research of ecosystem, global change, and carbon and nitrogen cycles. Recently, an unmanned aerial vehicle (UAV) hyperspectral imaging system provides a cost-effective way to capture the hyperspectral imageries from any points of the hemisphere above a forest canopy. However, compared with single-angle hyperspectral images, the multiangle hyperspectral images provide more information about forest functional and structural characteristics. We developed a semiautomatic multiangle observation method using a UAV hyperspectral imaging system and successfully collected the multiangle hyperspectral imageries with clear hotspots of broadleaf and coniferous forest canopies. Our results indicated that the hotspot of a forest canopy had a great effect on the reflectance, normalized difference vegetation index (NDVI), and enhanced vegetation index (EVI) of forests. The maximum values of canopy reflectance and EVI were found at the hotspot position, while the minimum NDVI was at the hotspot. Moreover, the hotspot effect was similar in both broadleaf and coniferous forests. Although the hotspot had no obvious effects on the photochemical reflectance index (PRI), different view zenith angles had a great effect on PRI. Our findings provide a solid foundation for retrieving forest structural parameters using fully automatic multiangle hyperspectral imaging system at both aerial and satellite platforms. (C) 2020 Society of Photo Optical Instrumentation Engineers (SPIE)
机译：森林功能和结构参数的准确检索在生态系统，全局变化和碳和氮循环的科学研究中具有重要意义。最近，一个无人驾驶飞行器（UAV）高光谱成像系统提供了一种经济有效的方法，可以从森林冠层上方的半球的任何点捕获高光谱成像仪。然而，与单角度高光谱图像相比，多显高光谱图像提供有关森林功能和结构特征的更多信息。我们开发了一种使用UAV高光谱成像系统的半自动多聚观察方法，并成功收集了阔叶和针叶林檐的清晰热点的多级高光谱仪。我们的结果表明，森林冠层的热点对森林的反射率，标准化差异植被指数（NDVI）和增强植被指数（EVI）产生了很大的影响。在热点位置发现顶篷反射率和EVI的最大值，而最低NDVI在热点处。此外，阔叶和针叶林中的热点效应相似。虽然热点对光化学反射率指数（PRI）没有明显影响，但不同观点的天顶角对PRI有很大的影响。我们的研究结果为在空中和卫星平台上使用全自动多级高光谱成像系统检索森林结构参数提供了坚实的基础。 （c）2020年照片光学仪表工程师（SPIE）

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