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Preliminary analysis of the forest health state based on multispectral images acquired by Unmanned Aerial Vehicle

机译:基于无人机获取的多光谱图像对森林健康状况的初步分析

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The main purpose of this publication is to present the current progress of the work associated with the use of a lightweight unmanned platforms for various environmental studies. Current development in information technology, electronics and sensors miniaturisation allows mounting multispectral cameras and scanners on unmanned aerial vehicle (UAV) that could only be used on board aircraft and satellites. Remote Sensing Division in the Institute of Aviation carries out innovative researches using multisensory platform and lightweight unmanned vehicle to evaluate the health state of forests in Wielkopolska province. In this paper, applicability of multispectral images analysis acquired several times during the growing season from low altitude (up to 800m) is presented. We present remote sensing indicators computed by our software and common methods for assessing state of trees health. The correctness of applied methods is verified using analysis of satellite scenes acquired by Landsat 8 OLI instrument (Operational Land Imager).
机译:该出版物的主要目的是介绍与将轻型无人平台用于各种环境研究相关的工作的当前进展。信息技术,电子设备和传感器小型化的最新发展允许将多光谱摄像机和扫描仪安装在只能用于飞机和卫星上的无人机上。航空研究所的遥感分部使用多传感器平台和轻型无人驾驶汽车进行了创新研究,以评估Wielkopolska省森林的健康状况。在本文中,提出了在生长季节从低海拔(高达800m)获取多次的多光谱图像分析的适用性。我们介绍由我们的软件和用于评估树木健康状况的常用方法计算出的遥感指标。通过对Landsat 8 OLI仪器(Operational Land Imager)获取的卫星场景进行分析,验证了所应用方法的正确性。

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