Advancing vegetation classification and mapping to meet conservation needs

推进植被分类和绘图以满足保护需求

• 批准号: LP150100972
• 负责人: Prof David Keith
• 金额: $ 38.74万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-12-09 至 2019-12-08
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP150100972
• 关键词: Advancing; vegetation; classification; mapping; meet

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.

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最详细的植被数据集和评价这些分类的新方法，对大面积植被进行分类和绘图。这种分类和地图提供了作出生物多样性养护决定所需的数据，但目前的操作方法仅限于很大的区域，无法处理各种不确定性来源。预期成果和惠益包括近100万平方公里的精细植被分类和地图，以及相关的分析工具和大规模植被分类和全球制图准则。