Analysis of spatial pattern of oak wilt outbreak using UAV images

초록

UAV image has been effective tool to detect and monitor tree-level crown damages caused by forest diseases. In this study, we tried to analyze the spatial pattern of oak wilt outbreak using UAV images. High-resolution UAV images were obtained in June and August 2018 over suburban forest within the in Incheon, Korea. Initially, the oak wilt damaged trees were selected by the visual interpretation of two UAV images. Further, two thematic maps (crown map of oak trees and hiking trail map) that were presumed to have an influence on the spread of the disease were produced from the UAV images. Among the several factors considered, the proximity to the hiking trail and the density of oak trees were the major factors to describe the spatial pattern of oak wilt outbreak and its spread. © 2020 40th Asian Conference on Remote Sensing, ACRS 2019: Progress of Remote Sensing Technology for Smart Future. All rights reserved.

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