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

被引:0
作者
Pivovar, Matas [1 ,2 ]
Nasi, Roope [3 ]
Honkavaara, Eija [3 ]
Blazenec, Miroslav [1 ]
Skvarenina, Jaroslav [4 ,7 ]
Modlinger, Roman [5 ]
Roznovsky, Jaroslav [6 ]
Jakus, Rastislav [1 ,5 ]
机构
[1] Slovak Acad Sci, Inst Forest Ecol, L Sturova 2, Zvolen 96001, Slovakia
[2] Tech Univ Zvolen, Fac Ecol & Environm Sci, T G Masaryka 24, Zvolen 96001, Slovakia
[3] Natl Land Survey Finland FGI, Finnish Geospatial Res Inst, Dept Remote Sensing & Photogrammetry, Vuorimiehentie 5, Espoo 02150, Finland
[4] Tech Univ Zvolen, Fac Forestry, T G Masaryka 24, Zvolen 96001, Slovakia
[5] Czech Univ Life Sci Prague, Forest Risk Res Ctr, Kamycka 129, Prague 16500, Czech Republic
[6] Czech Hydrometeorol Inst, Branch Off Brno, Brno 61667, Czech Republic
[7] Slovak Acad Sci, Earth Sci Inst, Dubravska cesta 9, Bratislava 84005, Slovakia
关键词
Hyperspectral imagery; Picea abies; Drought; Ips typographus; Spectral discrimination; BARK BEETLE ATTACK; REFLECTANCE CHARACTERISTICS; OPTICAL-PROPERTIES; PLANT PHENOLICS; SCALE DRIVERS; FOREST TREES; LEAF; DYNAMICS; MORTALITY; RESPONSES;
D O I
10.1016/j.foreco.2025.122692
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
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.
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页数:21
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