A toolkit of statistical methodology for a state-of-the-art software and decision support system for forest assessment using new airborne data [ 2002-01-01 - 2005-12-31 ]

Research Grant

Researchers: Distinguished Professor Kerrie Mengersen (Chief Investigator) ,  Mr Christian Witte (Partner Investigator)

Brief description A toolkit of statistical methodology for a state-of-the-art software and decision support system for forest assessment using new airborne data. The aim is to develop statistical methods for efficient collection and interpretation of airborne laser data and videography, used to describe characteristics of the forest such as tree species, stand history and vertical distribution of foliage, and hence biodiversity and biomass. This is significant for meeting Australia's international and national environmental obligations, providing quality information to farmers and industry, and hence developing potential jobs in regional areas. Outcomes include a toolkit of statistical methods applicable to spatial modelling and analysis of very large datasets, a statistically valid software product, marketable estimation methods in carbon accounting, technology transfer, training, publications.

Funding Amount $110,135

Funding Scheme Linkage Projects

View this grant in the ARC Data Portal