气候变化领域集成服务门户(CCPortal): Recent Advances in Forest Insect Pests and Diseases Monitoring Using UAV-Based Data: A Systematic Review

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DOI	10.3390/f13060911
	Recent Advances in Forest Insect Pests and Diseases Monitoring Using UAV-Based Data: A Systematic Review
	Duarte, Andre; Borralho, Nuno; Cabral, Pedro; Caetano, Mario
发表日期	2022
EISSN	1999-4907
卷号	13 期号:6
英文摘要	Unmanned aerial vehicles (UAVs) are platforms that have been increasingly used over the last decade to collect data for forest insect pest and disease (FIPD) monitoring. These machines provide flexibility, cost efficiency, and a high temporal and spatial resolution of remotely sensed data. The purpose of this review is to summarize recent contributions and to identify knowledge gaps in UAV remote sensing for FIPD monitoring. A systematic review was performed using the preferred reporting items for systematic reviews and meta-analysis (PRISMA) protocol. We reviewed the full text of 49 studies published between 2015 and 2021. The parameters examined were the taxonomic characteristics, the type of UAV and sensor, data collection and pre-processing, processing and analytical methods, and software used. We found that the number of papers on this topic has increased in recent years, with most being studies located in China and Europe. The main FIPDs studied were pine wilt disease (PWD) and bark beetles (BB) using UAV multirotor architectures. Among the sensor types, multispectral and red-green-blue (RGB) bands were preferred for the monitoring tasks. Regarding the analytical methods, random forest (RF) and deep learning (DL) classifiers were the most frequently applied in UAV imagery processing. This paper discusses the advantages and limitations associated with the use of UAVs and the processing methods for FIPDs, and research gaps and challenges are presented.
英文关键词	insect pest and disease monitoring; forest; unmanned aerial vehicles; remote sensing; PRISMA protocol
语种	英语
WOS研究方向	Forestry
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000816347500001
来源期刊	FORESTS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281016
作者单位	Universidade Nova de Lisboa
推荐引用方式 GB/T 7714	Duarte, Andre,Borralho, Nuno,Cabral, Pedro,et al. Recent Advances in Forest Insect Pests and Diseases Monitoring Using UAV-Based Data: A Systematic Review[J],2022,13(6).
APA	Duarte, Andre,Borralho, Nuno,Cabral, Pedro,&Caetano, Mario.(2022).Recent Advances in Forest Insect Pests and Diseases Monitoring Using UAV-Based Data: A Systematic Review.FORESTS,13(6).
MLA	Duarte, Andre,et al."Recent Advances in Forest Insect Pests and Diseases Monitoring Using UAV-Based Data: A Systematic Review".FORESTS 13.6(2022).