Advancing Vegetation Classification and Mapping to Meet Conservation Needs

Abstract

The project aims to develop 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. Such classifications and maps provide the data needed to make 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 include a fine-scale vegetation classification and map for almost a million square kilometres, and associated analytical tools and guidelines for large-scale vegetation classification and global mappin..

Related publications (1)

A comparison of resampling methods for remote sensing classification and accuracy assessment

MB Lyons, DA Keith, SR Phinn, TJ Mason, J Elith

2018-04-01

Maps that categorise the landscape into discrete units are a cornerstone of many scientific, management and conservation activitie..