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评估热红外无人机在热带雨林中对蜘蛛猴检测的飞行参数。

Evaluating Thermal Infrared Drone Flight Parameters on Spider Monkey Detection in Tropical Forests.

机构信息

Instituto de Neuroetología, Universidad Veracruzana, Av. Dr. Luis Castelazo Ayala, Xalapa 91190, Veracruz, Mexico.

ConMonoMaya, A.C., Km 5.4 Carretera Chemax-Coba, Chemax 97770, Yucatán, Mexico.

出版信息

Sensors (Basel). 2024 Aug 30;24(17):5659. doi: 10.3390/s24175659.

DOI:10.3390/s24175659
PMID:39275572
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11397880/
Abstract

Geoffroy's spider monkeys, an endangered, fast-moving arboreal primate species with a large home range and a high degree of fission-fusion dynamics, are challenging to survey in their natural habitats. Our objective was to evaluate how different flight parameters affect the detectability of spider monkeys in videos recorded by a drone equipped with a thermal infrared camera and examine the level of agreement between coders. We used generalized linear mixed models to evaluate the impact of flight speed (2, 4, 6 m/s), flight height (40, 50 m above ground level), and camera angle (-45°, -90°) on spider monkey counts in a closed-canopy forest in the Yucatan Peninsula, Mexico. Our results indicate that none of the three flight parameters affected the number of detected spider monkeys. Agreement between coders was "substantial" (Fleiss' kappa coefficient = 0.61-0.80) in most cases for high thermal-contrast zones. Our study contributes to the development of standardized flight protocols, which are essential to obtain accurate data on the presence and abundance of wild populations. Based on our results, we recommend performing drone surveys for spider monkeys and other medium-sized arboreal mammals with a small commercial drone at a 4 m/s speed, 15 m above canopy height, and with a -90° camera angle. However, these recommendations may vary depending on the size and noise level produced by the drone model.

摘要

Geoffroy 氏蜘蛛猴是一种濒危的、快速移动的树栖灵长类动物,具有较大的栖息地范围和高度的分裂-融合动态,在其自然栖息地中进行调查具有挑战性。我们的目标是评估不同的飞行参数如何影响配备热红外摄像机的无人机拍摄的蜘蛛猴视频的可检测性,并检查编码员之间的一致性水平。我们使用广义线性混合模型来评估飞行速度(2、4、6 米/秒)、飞行高度(离地 40、50 米)和摄像机角度(-45°、-90°)对墨西哥尤卡坦半岛封闭树冠森林中蜘蛛猴数量的影响。我们的结果表明,这三个飞行参数都没有影响检测到的蜘蛛猴数量。在大多数情况下,对于高热对比度区域,编码员之间的一致性为“中等”(Fleiss' kappa 系数=0.61-0.80)。我们的研究有助于制定标准化的飞行方案,这对于获得野生种群存在和数量的准确数据至关重要。基于我们的结果,我们建议使用小型商用无人机以 4 米/秒的速度、离树冠 15 米的高度和-90°的摄像机角度对蜘蛛猴和其他中型树栖哺乳动物进行无人机调查。然而,这些建议可能因无人机模型的大小和产生的噪音水平而异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/4dd1bb90f9b2/sensors-24-05659-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/6db145f41a61/sensors-24-05659-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/fffc9db19ffe/sensors-24-05659-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/4d9569432d94/sensors-24-05659-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/6661c6c618f5/sensors-24-05659-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/4dd1bb90f9b2/sensors-24-05659-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/6db145f41a61/sensors-24-05659-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/fffc9db19ffe/sensors-24-05659-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/4d9569432d94/sensors-24-05659-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/6661c6c618f5/sensors-24-05659-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2a2/11397880/4dd1bb90f9b2/sensors-24-05659-g005.jpg

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本文引用的文献

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Primates. 2024 May;65(3):173-181. doi: 10.1007/s10329-024-01119-7. Epub 2024 Mar 4.
2
Fusion of visible and thermal images improves automated detection and classification of animals for drone surveys.可见光和热图像融合可提高无人机调查中动物自动检测和分类的精度。
Sci Rep. 2023 Jun 27;13(1):10385. doi: 10.1038/s41598-023-37295-7.
3
Unmanned aerial vehicles (UAVs) with thermal infrared (TIR) sensors are effective for monitoring and counting threatened Vietnamese primates.
热红外(TIR)传感器的无人机(UAV)可有效用于监测和统计濒危越南灵长类动物。
Primates. 2023 Jul;64(4):407-413. doi: 10.1007/s10329-023-01066-9. Epub 2023 May 4.
4
Evaluation of thermal infrared imaging from uninhabited aerial vehicles for arboreal wildlife surveillance.评估无人机热红外成像在树栖野生动物监测中的应用。
Environ Monit Assess. 2022 Jun 17;194(7):512. doi: 10.1007/s10661-022-10152-2.
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A drone-based survey for large, basking freshwater turtle species.基于无人机的大型淡水龟类洄游调查。
PLoS One. 2021 Oct 27;16(10):e0257720. doi: 10.1371/journal.pone.0257720. eCollection 2021.
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Evaluating new technology for biodiversity monitoring: Are drone surveys biased?评估用于生物多样性监测的新技术:无人机调查是否存在偏差?
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