Spectral signatures discrimination of Norway spruce trees under experimentally induced drought and acute thermal stress using hyperspectral imaging

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F25%3A103253" target="_blank" >RIV/60460709:41320/25:103253 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0378112725002002?pes=vor&utm_source=clarivate&getft_integrator=clarivate" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0378112725002002?pes=vor&utm_source=clarivate&getft_integrator=clarivate</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.foreco.2025.122692" target="_blank" >10.1016/j.foreco.2025.122692</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Spectral signatures discrimination of Norway spruce trees under experimentally induced drought and acute thermal stress using hyperspectral imaging

Popis výsledku v původním jazyce

Climate change intensifies drought and thermal stress in forests, weakening tree vitality and increasing susceptibility to Ips typographus (L.) infestations. This study evaluates the potential of hyperspectral remote sensing to detect physiological stress in Norway spruce (Picea abies (L.) Karst.) induced by chronic drought and acute thermal stress. An in situ manipulation experiment was conducted within a mature spruce stand, establishing precipitation-exclusion roofs (chronic drought), stand edges (acute thermal stress), and control plots. High resolution hyperspectral imagery data was collected across visible, NIR, and SWIR wavelengths (380-2500 nm) during six flights (2022-2023) using CASI-1500 (0.5 m) and SASI-600 (1.25 m) hyperspectral cameras. Spectral discrimination revealed significant differences between stressed and control trees, particularly in the red (669.58 nm), NIR (854.96 nm), and SWIR (1557.5 nm, 2082.5 nm) wavebands, while the green region (498.56 nm) separated better in reflectance than in derivative analyses. These wavebands effectively identified physiological changes, including pigment depletion, reduced water content, and nitrogen fluctuations. Spectral separations were strongest in late summer and autumn, coinciding with intensified stress responses. Acute stress showed variable NIR reflectance trends, increasing in autumn but declining in August 2023. Chronic stress exhibited higher SWIR reflectance, indicating reduced needle water content. Statistical analyses, including the Kruskal-Wallis test and post hoc Dunn and Mann-Whitney U tests, confirmed significant spectral separability between stress types. These spectral markers provide a framework for monitoring tree stress under variable environmental conditions. By integrating remote sensing with climatic data, this study demonstrates how hyperspectral imaging enables early stress detection, supporting proactive forest management against climate-induced threats.

Název v anglickém jazyce

Spectral signatures discrimination of Norway spruce trees under experimentally induced drought and acute thermal stress using hyperspectral imaging

Popis výsledku anglicky

Climate change intensifies drought and thermal stress in forests, weakening tree vitality and increasing susceptibility to Ips typographus (L.) infestations. This study evaluates the potential of hyperspectral remote sensing to detect physiological stress in Norway spruce (Picea abies (L.) Karst.) induced by chronic drought and acute thermal stress. An in situ manipulation experiment was conducted within a mature spruce stand, establishing precipitation-exclusion roofs (chronic drought), stand edges (acute thermal stress), and control plots. High resolution hyperspectral imagery data was collected across visible, NIR, and SWIR wavelengths (380-2500 nm) during six flights (2022-2023) using CASI-1500 (0.5 m) and SASI-600 (1.25 m) hyperspectral cameras. Spectral discrimination revealed significant differences between stressed and control trees, particularly in the red (669.58 nm), NIR (854.96 nm), and SWIR (1557.5 nm, 2082.5 nm) wavebands, while the green region (498.56 nm) separated better in reflectance than in derivative analyses. These wavebands effectively identified physiological changes, including pigment depletion, reduced water content, and nitrogen fluctuations. Spectral separations were strongest in late summer and autumn, coinciding with intensified stress responses. Acute stress showed variable NIR reflectance trends, increasing in autumn but declining in August 2023. Chronic stress exhibited higher SWIR reflectance, indicating reduced needle water content. Statistical analyses, including the Kruskal-Wallis test and post hoc Dunn and Mann-Whitney U tests, confirmed significant spectral separability between stress types. These spectral markers provide a framework for monitoring tree stress under variable environmental conditions. By integrating remote sensing with climatic data, this study demonstrates how hyperspectral imaging enables early stress detection, supporting proactive forest management against climate-induced threats.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

40102 - Forestry

Projekt

<a href="/cs/project/EF15_003%2F0000433" target="_blank" >EF15_003/0000433: Vybudování excelentního vědeckého týmu na FLD ČZU v Praze a jeho přístrojově-technického zázemí zaměřeného na mitigaci důsledků klimatických změn v lesích (od úrovně genů po úroveň krajiny)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Forest Ecology and Management

ISSN

0378-1127

e-ISSN

0378-1127

Svazek periodika

586

Číslo periodika v rámci svazku

2025

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

21

Strana od-do

1-21

Kód UT WoS článku

001458700300001

EID výsledku v databázi Scopus

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