A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Discrimination of Deciduous Tree Species from Time Series of Unmanned Aerial System Imagery
2015
PLoS ONE
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
doi:10.1371/journal.pone.0141006
pmid:26600422
pmcid:PMC4657984
fatcat:7fhb5kdqqbcgjfg7tmvnc4eruq