气候变化领域集成服务门户(CCPortal): Canopy temperature from an Unmanned Aerial Vehicle as an indicator of tree stress associated with red band needle blight severity

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DOI	10.1016/j.foreco.2018.11.032
	Canopy temperature from an Unmanned Aerial Vehicle as an indicator of tree stress associated with red band needle blight severity
	Smigaj M.; Gaulton R.; Suárez J.C.; Barr S.L.
发表日期	2019
ISSN	0378-1127
起始页码	699
结束页码	708
卷号	433
英文摘要	Monoculture plantation woodlands are particularly vulnerable to disturbance events as species uniformity makes such stands highly susceptible to pests and diseases. Red band needle blight (caused by the fungus Dothistroma septosporum) is a disease which has a particularly significant economic impact on pine plantation forests worldwide, affecting diameter and height growth. However, monitoring its spread and intensity is complicated by the fact that the diseased trees are often only visible from aircraft in the advanced stages of the epidemic. Remote sensing could potentially aid in the detection of infected stands and in monitoring disease development and spread. Thermography is one of the techniques that can be used for monitoring changes in the physiological state of plants following infection. However, the use of thermography in forestry has so far been restricted by poor spatial resolution (satellite-based sensors) or high data acquirement costs (airborne sensors). This paper investigates the use of Unmanned Aerial Vehicle (UAV)-borne thermal systems for detecting disease-induced canopy temperature increase and explores the influence of the imaging time and weather conditions on the detected relationship. Furthermore, the potential of a number of airborne LiDAR-derived structural metrics for detection of changes in the canopy structure following the infection are investigated. The study was located in a diseased Scots pine (Pinus sylvestris) stand in Queen Elizabeth II Forest Park (central Scotland, UK), where 60 sample trees were surveyed. The thermal imagery was acquired at six different times of a day from an altitude of 60 m. Statistically significant correlation between canopy temperature depression (CTD) and disease levels was found for most of the flights (R2 between 0.27 and 0.41), which may be related to the needle damage symptoms caused by the disease, i.e. loss of cellular integrity, necrosis and eventual desiccation. Furthermore, the standard deviation of the crown temperature exhibited weak but statistically significant correlation (R2 between 0.11 and 0.13). The combination of CTD and standard deviation of crown temperature in a partial least squares regression (PLSR) further improved the observed relationship with the estimated disease level. Inclusion of LiDAR structural metrics was also investigated but only provided a slight improvement. A change in environmental conditions altered the magnitude of differences between canopy temperatures; no significant correlation with disease level was found in the morning flight, whilst the strongest relationship was obtained at the time of highest solar radiation, which coincides with the time of maximum photosynthetic activity. © 2018 Elsevier B.V.
英文关键词	Disease; Forest health; Laser scanning; Stress; Thermography; UAV
语种	英语
scopus关键词	Aircraft detection; Antennas; Diseases; Least squares approximations; Needles; Optical radar; Remote sensing; Statistics; Stresses; Thermography (imaging); Thermography (temperature measurement); Unmanned aerial vehicles (UAV); Environmental conditions; Forest health; Laser scanning; Monoculture plantations; Partial least squares regressions (PLSR); Photosynthetic activity; Red band needle blight; Satellite-based sensors; Forestry; climate conditions; coniferous tree; disease severity; disturbance; environmental conditions; forest health; fungal disease; fungus; infectious disease; laser method; lidar; satellite sensor; spatial resolution; unmanned vehicle; woodland; Diseases; Forestry; Needles; Remote Sensing; Statistics; Stresses; Queen Elizabeth National Park; Uganda; Fungi; Mycosphaerella pini; Pinus sylvestris
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156239
作者单位	School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom; Forest Research, Northern Research Station, Roslin, Midlothian EH25 9SY, United Kingdom
推荐引用方式 GB/T 7714	Smigaj M.,Gaulton R.,Suárez J.C.,et al. Canopy temperature from an Unmanned Aerial Vehicle as an indicator of tree stress associated with red band needle blight severity[J],2019,433.
APA	Smigaj M.,Gaulton R.,Suárez J.C.,&Barr S.L..(2019).Canopy temperature from an Unmanned Aerial Vehicle as an indicator of tree stress associated with red band needle blight severity.Forest Ecology and Management,433.
MLA	Smigaj M.,et al."Canopy temperature from an Unmanned Aerial Vehicle as an indicator of tree stress associated with red band needle blight severity".Forest Ecology and Management 433(2019).