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Drone-Based Forest Variables Mapping of ICOS Tower Surroundings

机译:ICOS塔周围环境基于无人机的森林变量映射

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The development of drone technology has been rapid in the last decade, providing highly competent and economical platforms for applied remote sensing. Mapping forest using drones is not an economical alternative for most operational applications in forestry and environmental monitoring, due to the limited area covered. However, the potential of drone-based remote sensing is expected to be very large in research applications. In this study, a standard, small, four-rotor drone is used as platform for a multispectral camera to accurately collect 3D-data about the forest canopy, data used to produce maps of forest variables. These maps proved to be very valuable input for development of new models for the exchange of green-house gases in boreal and hemi-boreal forests. The task was performed within the ICOS initiative at three sites in Sweden where each has a 150 m high tower monitoring green-house gas fluxes at many levels in the atmosphere.
机译:在过去的十年中,无人机技术的发展迅速,为应用遥感提供了功能强大且经济的平台。对于无人机在林业和环境监测中的大多数操作应用而言,使用无人机绘制森林图不是经济的选择,因为其覆盖范围有限。但是,基于无人机的遥感技术在研究应用中的潜力有望很大。在这项研究中,标准的小型四旋翼无人机被用作多光谱相机的平台,以准确地收集有关林冠层的3D数据,这些数据用于生成森林变量图。这些地图被证明是开发新模型的宝贵资源,这些模型用于交换北方和半北方森林中的温室气体。该任务是在ICOS倡议中在瑞典的三个地点执行的,每个地点都有一个150 m高的塔,用于监测大气中各个水平的温室气体通量。

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