Discrimination of Deciduous Tree Species from Time Series of Unmanned Aerial System Imagery.

ABSTRACT: Technology advances can revolutionize Precision Forestry by providing accurate and fine forest information at tree level. This paper addresses the question of how and particularly when Unmanned Aerial System (UAS) should be used in order to efficiently discriminate deciduous tree species. The goal of this research is to determine when is the best time window to achieve an optimal species discrimination. A time series of high resolution UAS imagery was collected to cover the growing season from leaf flush to leaf fall. Full benefit was taken of the temporal resolution of UAS acquisition, one of the most promising features of small drones. The disparity in forest tree phenology is at the maximum during early spring and late autumn. But the phenology state that optimized the classification re

SUBMITTER: Lisein J 

PROVIDER: S-EPMC4657984 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature