入侵植物无人机遥感的系统审查和最佳做法

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Methods in Ecology and Evolution Pub Date : 2024-05-06 DOI:10.1111/2041-210X.14330
Kunwar K. Singh, Thilina D. Surasinghe, Amy E. Frazier
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引用次数: 0

摘要

无人机已成为探测和绘制植物入侵地图的一种具有成本效益的解决方案,为研究人员和土地管理者提供了飞行设计、传感器和数据收集时间表方面的灵活性。需要对基于无人机的图像收集、数据处理和分析方法的发展趋势进行系统回顾,以推动入侵物种监测和管理科学的发展,提高可扩展性和可复制性。我们系统地回顾了使用无人机进行植物入侵研究的各项研究,以确定知识差距、最佳实践以及推进入侵植物监测和管理科学的路径。我们设计了一个包含 33 个标准化报告参数的数据库,根据这些参数对每项研究进行编码,计算描述性统计数字,并综合这些技术的实施和使用情况。趋势显示,自 2009 年以来,研究数量普遍增加,且偏向于北美和欧洲的温带地区。大多数研究侧重于测试机器学习或深度学习图像分类技术的有效性,而侧重于监测或模拟传播的研究较少。很少有研究使用无人机评估生态系统动态和影响,如确定环境驱动因素或跟踪干扰后的重新出现。总体而言,我们注意到在实地调查设计、飞行设计、无人机系统、图像处理和分析方面缺乏标准化报告,这阻碍了方法的可复制性和可扩展性。基于这些发现,我们为入侵物种监测中的无人机应用制定了一个标准框架,以促进跨研究的可比性和可重复性。我们建议在以下几个方面推进无人机在入侵植物研究中的应用,包括:(1)利用标准化报告框架促进科学研究实践;(2)将无人机数据与卫星图像整合,以扩展更大范围内的关系;(3)使用无人机替代亲临现场的地面调查;以及(4)利用无人机评估与植物适应性和繁殖相关的群落性状变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Systematic review and best practices for drone remote sensing of invasive plants

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来源期刊
CiteScore
11.60
自引率
3.00%
发文量
236
审稿时长
4-8 weeks
期刊介绍: A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.
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