Classification of Forest Structural Types with LiDAR Remote Sensing Applied to Study Tree Size-Density Scaling Theories

Project Information

LORENZLIDAR

Grant agreement ID: 658180

DOI

10.3030/658180

Project closed

EC signature date 9 March 2015

Start date 1 September 2016

End date 31 August 2018

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 195 454,80

EU contribution

€ 195 454,80

Coordinated by

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (2)

Effects of plot size, stand density, and scan density on the relationship between airborne laser scanning metrics and the Gini coefficient of tree size inequality

Author(s): Syed Adnan, Matti Maltamo, David A. Coomes, Rubén Valbuena
Published in: Canadian Journal of Forest Research, Issue 47/12, 2017, Page(s) 1590-1602, ISSN 0045-5067
Publisher: NRC Research Press
DOI: 10.1139/cjfr-2017-0084

Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation

Author(s): R. Valbuena, A. Hernando, J.A. Manzanera, E.B. Görgens, D.R.A. Almeida, F. Mauro, A. García-Abril, D.A. Coomes
Published in: Ecological Modelling, Issue 366, 2017, Page(s) 15-26, ISSN 0304-3800
Publisher: Elsevier BV
DOI: 10.1016/j.ecolmodel.2017.10.009