Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats

海洋底栖栖息地的机器辅助、多尺度时空观测和建模

• 批准号: FS100100043
• 负责人: Prof Stefan Williams
• 金额: $ 19.3万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Super Science Fellowships
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-11-29 至 2013-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FS100100043
• 关键词: Machine; Assisted; Multi; scale; Spatial

The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching for ecological patterns on a national scale that would be difficult to identify using traditional approaches tuned to process-scale studies. Australian society stands to benefit by virtue of improved large-scale models of ecosystem function and reduced cost for conducting marine ecosystem investigations.

综合海洋观测系统（IMOS）科学计划包括依赖自主水下航行器（AUV）设施数据的采样活动，旨在解决海洋生物多样性量化和保证问题。拟议的研究将通过加速劳动密集型分析、汇总结果和在全国范围内寻找生态模式来直接提高这些项目的有效性，而使用传统方法调整到过程规模的研究是难以识别的。由于大规模生态系统功能模型的改进和海洋生态系统调查成本的降低，澳大利亚社会将受益。