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Possibility of applying unmanned aerial vehicle and thermal imaging in several canopy cover class for wildlife monitoring – preliminary results

机译:在野生动物监测中涂抹无人空中车辆和热成像的可能性 - 野生动物监测 - 初步结果

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Tropical rainforests are one of the important habitats on earth but are rarely explored because they are di?cult to access, making their cryptic animals challenging to monitor. Unmanned aerial vehicle (UAV) with thermal infrared imaging (TIR) technology is gaining entry into wildlife research and monitoring. The researcher tested the possibility of applying DJI Mavic 2 Enterprise Dual with FLIR as aerial survey platforms to wildlife in the five tree density classes in the IPB University Campus. To assess the effectiveness of using drones in detecting wildlife, the researcher measured the optimum flying height, sound level, temperature, and optimum flight time in each canopy cover class. The optimum height for animal detection is <50 m HAGL with a sound level that animals can still tolerate. Wildlife detected had body temperatures around 27 °C and were conspicuous in the thermal infrared imagery at night and early morning when the forest canopy was cool (15–27°C), but were difficult to detect by mid-day. By that time, the direct sunshine had heated up canopy vegetation to over 30°C. Species were difficult to identify from thermal infrared imagery alone but could be recognized from synchronized visual images taken during the daytime.
机译:热带雨林是地球上重要的栖息地之一,但很少探索,因为他们是迪?崇拜,使他们的隐秘动物挑战监测。具有热红外成像(TIR)技术的无人驾驶飞行器(UAV)正在进入野生动物研究和监测。研究人员测试了在IPB大学校园的五棵树密度课程中将DJI Mavic 2 Enterprise Dual用FILIR应用于航空测量平台的可能性。研究人员评估使用无人机在探测野生动物中的有效性,测量每个遮阳篷覆盖级别的最佳飞行高度,声级,温度和最佳飞行时间。动物检测的最佳高度<50米HGL,具有静止动物仍然可以容忍的声级。检测到的野生动物的气温约为27°C,在森林冠层凉爽(15-27°C)凉爽(15-27°C)时,在晚上和清晨在夜间和清晨显而易见。到那时,直接阳光将植被植被加热到超过30°C。只有单独的热红外图像难以识别物种,但可以从白天期间拍摄的同步视觉图像识别。

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