Can canopy temperature acquired from an airborne level be a tree health indicator in an urban environment?

Zakrzewska, Agata; Kopeć, Dominik; Ochtyra, Adrian; Potůčková, Markéta

doi:10.1016/j.ufug.2022.127807

Cited by 6 publications

(3 citation statements)

References 64 publications

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“…Quite a few studies have been conducted exploring the importance of canopy surface temperature. Canopy temperature can be a direct measure for the health of urban trees [14]. Many studies have been conducted acknowledging the importance of the relationship between wildfires and surface temperatures [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…Understanding variation of canopy temperature is important mainly for applications such as wildfire management [17] and vegetation health management [14]. For instance, a trend analysis of forest fire hot spots was performed for the western Himalayas to check their relationship with LST.…”

Section: Introductionmentioning

confidence: 99%

“…The results showed that an increase in mean LST over months led to an increase in the number of overall forest fires [17]. Another study showed that canopy temperature can be a direct measure of the health of urban trees [14]. Remotely sensed LST measurements over the trees are based on the principle that the spectral radiance reflected in the thermal infrared bands is from the tree canopy instead of the ground surface beneath the tree.…”

Section: Introductionmentioning

confidence: 99%

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Unveiling Temperature Patterns in Tree Canopies across Diverse Heights and Types

2023

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Forests are some of the major ecosystems that help in mitigating the effects of climate change. Understanding the relation between the surface temperatures of different vegetation and trees and their heights is very crucial in understanding events such as wildfires. In this work, relationships between tree canopy temperature and canopy height with respect to vegetation types were extracted. The southern part of Sardinia Island, which has dense forests and is often affected by wildfires, was selected as the region of interest. PRISMA hyperspectral imagery has been used to map all the available vegetation types in the region of interest using the support vector machine classifier with an accuracy of >80% for all classes. The Global Ecosystem Dynamics Investigation’s (GEDI) L2A Raster Canopy Top Height product provides canopy height measurements in spatially discrete footprints, and to overcome this issue of discontinuous sampling, Random Forest Regression was used on Sentinel-1 SAR data, Sentinel-2 multispectral data, and the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) to estimate the canopy heights of various vegetation classes, with a root mean squared error (RMSE) value of 2.9176 m and a coefficient of determination (R2) value of 0.791. Finally, the Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature (LST) and emissivity product provides ground surface temperature regardless of land use and land cover (LULC) types. LST measurements over tree canopies are considered as the tree canopy temperature. We estimated the relationship between the canopy temperature of five vegetation types (evergreen oak, olive, juniper, silicicole, riparian trees) and the corresponding canopy heights and vegetation types. The resulting scatter plots showed that lower tree canopy temperatures correspond with higher tree canopies with a correlation coefficient in the range of −0.4 to −0.5 for distinct types of vegetation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Unveiling Temperature Patterns in Tree Canopies across Diverse Heights and Types

2023

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Trend analysis of greening and browning in Hyrcanian forests and their responses to climate change

Alchin,

Darvishsefat,

Nasiri

et al. 2024

Stoch Environ Res Risk Assess

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Exploring forest changes in an Ips typographus L. outbreak area: insights from multi-temporal multispectral UAS remote sensing

Östersund,

Honkavaara,

Oliveira

et al. 2024

Eur J Forest Res

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Uncrewed Aerial Systems (UAS) offer a versatile solution for monitoring forest ecosystems. This study aimed to develop and assess an individual tree-based methodology using multi-temporal, multispectral UAS images to track changes caused by the European spruce bark beetle (Ips typographus L.). The approach encompassed four key steps: (1) individual tree detection using structure-from-motion point clouds, (2) tree species classification, (3) health classification of spruce trees as healthy, declined, or dead, and (4) change detection, identifying fallen/removed trees and alterations in tree health status. The developed methodology was employed to quantify changes in a bark beetle outbreak area covering 215 hectares in southeastern Finland during 2019–2021. The dataset included two managed and two conserved forest areas. The uncertainty estimation demonstrated the overall accuracies ranging from 0.58 to 0.91 for individual tree detection, 0.84 for species classification, and 0.83–0.96 for health classification, and a F1-score of 0.91 for the fallen or removed tree detection. Maps and statistics were produced, containing information on the health of the spruce trees in the area and information on changes, including trees that died during monitoring and those that fell or were removed from the forest. The results demonstrated successful control of the outbreak in the managed stands, evidenced by moderate tree mortality. Conversely, in the conserved stands, the outbreak resulted in dramatic tree mortality. This method serves stakeholders by enabling large-scale outbreak impact monitoring, facilitating timely risk assessment, and validating bark beetle outbreak management strategies.

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Can canopy temperature acquired from an airborne level be a tree health indicator in an urban environment?

Cited by 6 publications

References 64 publications

Unveiling Temperature Patterns in Tree Canopies across Diverse Heights and Types

Unveiling Temperature Patterns in Tree Canopies across Diverse Heights and Types

Trend analysis of greening and browning in Hyrcanian forests and their responses to climate change

Exploring forest changes in an Ips typographus L. outbreak area: insights from multi-temporal multispectral UAS remote sensing

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