南京林业大学学报（自然科学版）2024，Vol.48Issue(6)：1-4,4.DOI:10.12302/j.issn.1000－2006.202410001
国际森林空间分析技术会议(ForestSAT 2024)学术动向分析
Emerging academic trends at the ForestSAT 2024 Conference
摘要
Abstract
The Forest Spatial Analysis Technology(ForestSAT)Conference is a pivotal assembly in the global domain of forestry remote sensing,functioning as a vital gauge for advancements in this area of research.The ForestSAT 2024 was convented from September 9 to 13 in Rotorua,New Zealand,drawing academics from more than 40 nations to deliberate on 38 subjects,including statistical remote sensing,forest inventory,forest ecology,remote sensing algorithms,remote sensing products,and future trends.The conference underscored five significant aspects:firstly,the prominence of statistical remote sensing;secondly,the robust demand for remote sensing applications within forest ecology and inventory;thirdly,the accentuation on data fusion to capitalize on the strengths of multi-source and multi-modal data;fourthly,the vital support that remote sensing products contribute to the global"double carbon"strategy;lastly,the inquiry into future developmental trajectories for forestry remote sensing.During the event,two keynote speeches were presented,with additional avant-garde topics such as UAV remote sensing,upscaling,small-domain estimation,and error propagation.As an integration of sampling surveys,statistical models,and remote sensing technology,statistical remote sensing is instrumental in addressing the challenges of forestry remote sensing,elucidating the emerging developmental directions in this discipline.关键词
ForestSAT/统计遥感/尺度上升/小域估计/误差传播Key words
ForestSAT/statistical remote sensing/upscaling/small-area estimation/error propagation分类
农业科技引用本文复制引用
侯正阳,黄华国..国际森林空间分析技术会议(ForestSAT 2024)学术动向分析[J].南京林业大学学报（自然科学版）,2024,48(6):1-4,4.基金项目
国家重点研发计划(2023YFF1304002-05) （2023YFF1304002-05）
国家社会科学基金项目(22BTJ005)(统计学部). （22BTJ005）
