Canadian Forest Service Publications

An Operational Workflow of Deciduous-Dominated Forest Species Classification: Crown Delineation, Gap Elimination, and Object-Based Classification. 2019. He, Y.; Yang, J.; Caspersen, J.; Jones, T. Remote Sensing 11: 2078.

Year: 2019

Issued by: Great Lakes Forestry Centre

Catalog ID: 39991

Language: English

Availability: PDF (download)

Available from the Journal's Web site.
DOI: 10.3390/rs11182078

† This site may require a fee

Mark record

Plain Language Summary

Recent advances in remote sensing technology provide sufficient spatial detail to achieve species-level classification over large vegetative ecosystems. In deciduous-dominated forests, however, as tree species diversity and forest structural diversity increase, the frequency of spectral overlap between species also increases and our ability to classify tree species significantly decreases. This study proposes an operational workflow of individual tree-based species classification for a temperate, mixed deciduous forest using three-seasonal WorldView images, involving three steps of individual tree crown (ITC) delineation, non-forest gap elimination, and object-based classification. The process of species classification started with ITC delineation using the spectral angle segmentation algorithm, followed by object-based random forest classifications.