Advancing vegetation classification and mapping to meet conservation needs

该项目旨在开发先进的统计和建模技术，利用澳大利亚最广泛和详细的植被数据集以及评估这些分类的新方法，对非常大的区域进行植被分类和地图绘制。这样的分类和地图提供了做出生物多样性保护决策所需的数据，然而目前的操作方法在非常大的区域内是有限的，并且不能处理各种不确定性的来源。预期成果和效益包括绘制近100万平方公里的精细尺度植被分类和地图，以及用于大尺度植被分类和全球制图的相关分析工具和指南。

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 mapping.