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Advancing vegetation classification and mapping to meet conservation needs (ARC Linkage project administered by UNSW) (2015-2019)

Abstract

Aim: to develop modern, advanced statistical and modelling techniques to classify and map vegetation over very large areas, using the most extensive and detailed vegetation data set in Australia, and new methods to evaluate these classifications. Significance: detailed classifications and maps of vegetation provide the fundamental data source for making biodiversity conservation decisions, yet current operational methods are limited over very large areas, and cannot deal with varied sources of uncertainty. Expected outcomes and benefits: a fine scale vegetation classification and map for almost a million square kilometers, as well as associated analytical tools and guidelines for large scale vegetation classification and mapping globally.

Experts

Professor Stuart Phinn

Centre Director of The Remote Sensing Research Centre
Earth Observation Research Centre
Faculty of Science
Affiliate of Centre for Marine Science
Centre for Marine Science
Faculty of Science
Professor
School of the Environment
Faculty of Science
Stuart Phinn
Stuart Phinn