Using Tree Detection Algorithms to Predict Stand Sapwood Area, Basal Area and Stocking Density in Eucalyptus regnans Forest

Dominik Jaskierniak; George Kuczera; Richard Benyon; Luke Wallace

Journal article

Using Tree Detection Algorithms to Predict Stand Sapwood Area, Basal Area and Stocking Density in Eucalyptus regnans Forest

Dominik Jaskierniak, George Kuczera, Richard Benyon, Luke Wallace

Remote Sensing | MDPI | Published : 2015

DOI: 10.3390/rs70607298

University of Melbourne Researchers

Richard Benyon Author Ecosystem and Forest Sciences

Related Projects (2)

New methods for mapping variation in forest water use in time and space

Disturbance of eucalypt forests can have dramatic impacts on catchment water yields. In partnership with Melbourne Water Corporation, this p..

New methods for mapping variation in forest water use in time and space

Disturbance of eucalypt forests can have dramatic impacts on catchment water yields. In partnership with Melbourne Water Corporation, this p..

Grants

Awarded by Australian Research Council

Funding Acknowledgements

This project was funded by Melbourne Water and an Australian Research Council Linkage Grant (LP110200194). To undertake the computation of the NCut algorithm, Victorian Life Sciences (VLSCI) computation facility provided a resource grant (VR0286) under the Resource Allocation Scheme (RAS). We thank Claire Ren for her efforts in delineating some of the stumps and assistance in the field. We also thank the anonymous reviewers for their advice on improving the quality of this paper.