基于GF-5高光谱数据的昆嵛山区域森林胁迫研究OACSTPCD

In order to better analyze the physiological process of forest vegetation stress and establish an effective forest monitoring system,remote sensing health estimation of vegetation stress in the Kunyu Mountain area was carried out using GF-5 hyperspectral da-ta.GF-5 hyperspectral data enables non-destructive monitoring of important indicators such as chlorophyll,carotenoids,and anthocy-anin content to reflect vegetation health,making it possible for the dynamic health monitoring system applicable to the current research area.The results showed that the average health level of mixed forests was the highest,followed by deciduous broad-leaved forests,and the average health level of evergreen and deciduous coniferous forests was equivalent.The average health level of forest on the sun-ny slope was the highest,followed by the average health level of forest on the semi shaded and semi sunny slopes,with the lowest health level of forest on the shaded slope.There was a certain correlation between vegetation health and soil type,a positive correlation with sandy soil,and a negative correlation with silt and clay.Research had shown that the use of remote sensing indices related to dif-ferent types and stresses in vegetation canopy can quantitatively represent the special state,biophysical,and biochemical characteristics of vegetation,enabling the investigation,monitoring,and management of forest resources.