Airborne digital camera image semivariance for evaluation of forest structural damage at an acid mine site

摘要: Abstract A forest downstream of a heavy metal acid tailings area at the KamKotia mine site near Timmins, Ontario shows visible signs damage which include varied leaf size, discoloration, dead branches, and increased individual tree crown canopy openness. High resolution remote sensing has potential for providing means to spatially temporally evaluate such damage. In particular, image texture can be used in modeling structural variations may result from stress. this study, an airborne multispectral digital camera system was acquire imagery with ground pixel spacing 0.25 m, 0.5 1.0 m. Relations semivariance measures field structure health were determined. Semivariograms derived using two sampling techniques: transects perpendicular directions, omnidirectional within matrices. Sampling conducted over as well crowns. The principal objective study determine types information captured by semivariograms three spatial resolutions. scale sampling, 1 m best related closure, stem density, visually stress index. better size height. transect technique more sensitive height matrix produced stronger relations samples, closure. This suggests that extracted images are suitable mapping textural level while depict level.