Differentiating Acute and Chronic Stress in Norway Spruce using Hyperspectral and Thermal Remote Sensing in Experimental Plots

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F25%3A00644902" target="_blank" >RIV/86652079:_____/25:00644902 - isvavai.cz</a>

Výsledek na webu

<a href="https://isprs-archives.copernicus.org/articles/XLVIII-2-W11-2025/index.html" target="_blank" >https://isprs-archives.copernicus.org/articles/XLVIII-2-W11-2025/index.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprs-archives-XLVIII-2-W11-2025-133-2025" target="_blank" >10.5194/isprs-archives-XLVIII-2-W11-2025-133-2025</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Differentiating Acute and Chronic Stress in Norway Spruce using Hyperspectral and Thermal Remote Sensing in Experimental Plots

Popis výsledku v původním jazyce

Norway spruce forests across Europe are increasingly threatened by acute and chronic stressors, particularly thermal exposure and drought, exacerbated by climate change. This study investigates the physiological and spectral responses of spruce trees under experimentally induced stress using high resolution thermal and hyperspectral remote sensing from UAV and aircraft platforms. Field experiments were conducted in Slovakia and the Czech Republic across three plot types: edge exposed (acute thermal stress), roofed (chronic drought stress), and unmanipulated controls. nBy integrating remote sensing data with sap flow, VOC emissions, and soil microclimate measurements, we show that acute stress from sudden edge exposure triggers rapid physiological responses, including increased transpiration, elevated crown temperatures, and distinctive VOC profiles. In contrast, chronic drought stress, simulated through rainfall exclusion, leads to sustained reductions in sap flow, lower water availability, and declines in key spectral indices such as MRENDVI and NDWI. Bark beetle attacks occurred only in drought stressed trees, suggesting a link between prolonged physiological decline and pest vulnerability. Generalised Additive Models revealed that crown temperature, soil water potential, and canopy structure strongly influence sap flow, while thermal traits were shaped by canopy density and solar radiation. Remote sensing data captured these relationships, enabling early detection of stress before visible symptoms emerged. nOur findings confirm that thermal and hyperspectral imaging, supported by ground truth data, can reliably distinguish between acute and chronic stress in Norway spruce. This multi sensor approach supports proactive forest health monitoring and early intervention against bark beetle outbreaks under changing climatic conditions.

Název v anglickém jazyce

Differentiating Acute and Chronic Stress in Norway Spruce using Hyperspectral and Thermal Remote Sensing in Experimental Plots

Popis výsledku anglicky

Norway spruce forests across Europe are increasingly threatened by acute and chronic stressors, particularly thermal exposure and drought, exacerbated by climate change. This study investigates the physiological and spectral responses of spruce trees under experimentally induced stress using high resolution thermal and hyperspectral remote sensing from UAV and aircraft platforms. Field experiments were conducted in Slovakia and the Czech Republic across three plot types: edge exposed (acute thermal stress), roofed (chronic drought stress), and unmanipulated controls. nBy integrating remote sensing data with sap flow, VOC emissions, and soil microclimate measurements, we show that acute stress from sudden edge exposure triggers rapid physiological responses, including increased transpiration, elevated crown temperatures, and distinctive VOC profiles. In contrast, chronic drought stress, simulated through rainfall exclusion, leads to sustained reductions in sap flow, lower water availability, and declines in key spectral indices such as MRENDVI and NDWI. Bark beetle attacks occurred only in drought stressed trees, suggesting a link between prolonged physiological decline and pest vulnerability. Generalised Additive Models revealed that crown temperature, soil water potential, and canopy structure strongly influence sap flow, while thermal traits were shaped by canopy density and solar radiation. Remote sensing data captured these relationships, enabling early detection of stress before visible symptoms emerged. nOur findings confirm that thermal and hyperspectral imaging, supported by ground truth data, can reliably distinguish between acute and chronic stress in Norway spruce. This multi sensor approach supports proactive forest health monitoring and early intervention against bark beetle outbreaks under changing climatic conditions.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20705 - Remote sensing

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

ISBN

—

ISSN

1682-1750

e-ISSN

—

Počet stran výsledku

5

Strana od-do

—

Název nakladatele

Copernicus Publications

Místo vydání

Göttingen

Místo konání akce

Espoo

Datum konání akce

10. 9. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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