利用无人机系统监测森林健康:潜力和挑战

IF 2.7 Q2 MULTIDISCIPLINARY SCIENCES
Andisiwe Manase , Alen Manyevere , Mohamed A.M Abd Elbasit , ChueneVictor Mashamaite
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引用次数: 0

摘要

由于气候变化和人为活动,如森林砍伐、环境污染和土地利用方式的改变,自然生态系统,特别是森林,正在经历严重退化。本文系统综述了近年来利用无人机进行森林健康监测(FHM)的研究,特别是通过植被指数检测树木应力和评估整体森林健康。无人机已经成为FHM中的领先工具,因为它们提供高分辨率图像和灵活的操作能力。根据系统评价和Meta分析的首选报告项目(PRISMA)指南,本次评价确保了信息综合的彻底和透明,提高了知情决策证据的可靠性。该系统综述分析了在23个国家进行的40项研究。结果强调了无人机在应对干旱和火灾等非生物压力因素方面的多功能性,这些压力因素由于气候变化而变得越来越重要。这些发现强调了无人机在检测影响树木活力的植物寄生虫侵扰方面的重要作用,从而改善了森林管理实践。针对病虫害造成的具体威胁,对不同树种进行了研究,例如受蜜环菌(蜜环菌)影响的挪威云杉(Picea abies)和受松迁徙蛾(Thaumetopoea pityocampa)影响的苏格兰松(Pinus sylvestris)。这种复杂性反映了森林生态系统的复杂性质和目前生物压力源的独特挑战。总体而言,通过改进监测能力和可持续管理做法,将无人机技术纳入森林健康监测是在环境挑战中加强管理战略方面的重大进步,特别是对非洲植被和森林健康而言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The use of UAV-based systems in monitoring forest health: Potentials and challenges
Natural ecosystems, especially forests, are undergoing severe degradation due to climate change and human-induced actions like forest clearance, environmental pollution, and modifications to land utilization. This systematic review synthesizes recent research on using unmanned aerial vehicles (UAVs) for forest health monitoring (FHM), specifically focusing on detecting tree stress and assessing overall forest health through vegetation indices. The UAVs have emerged as a leading tool in FHM because they provide high-resolution imagery and flexible operational capabilities. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta‑Analyses (PRISMA) guidelines, this review ensured a thorough and transparent synthesis of information, enhancing the reliability of evidence for informed decision-making. This systematic review analyzed 40 studies conducted across 23 countries. The results highlighted the versatility of UAVs in addressing abiotic stressors such as drought and fire, which are becoming increasingly relevant due to climate change. The findings underscore UAVs' significant role in detecting phytoparasitic infestations that impact tree vitality, thereby improving forest management practices. Various tree species were examined concerning specific threats posed by pests and diseases, such as Norway spruce (Picea abies) affected by honey fungus (Armillaria) and Scots pine (Pinus sylvestris) impacted by the pine processionary moth (Thaumetopoea pityocampa). This complexity reflects the intricate nature of forest ecosystems and the unique challenges biological stressors present. Overall, integrating UAV technology into forest health monitoring represents a substantial advancement in enhancing management strategies amid environmental challenges, especially for African vegetation and forest health, through improved monitoring capabilities and sustainable management practices.
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来源期刊
Scientific African
Scientific African Multidisciplinary-Multidisciplinary
CiteScore
5.60
自引率
3.40%
发文量
332
审稿时长
10 weeks
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