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星载激光雷达估测森林结构参数研究现状分析与展望

Current Status and Development Trend in Estimating Forest Structural Parameters with Spaceborne LiDAR
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摘要 星载激光雷达系统可以覆盖机载系统难以到达的偏远地区,从机理上克服光学影像及合成孔径雷达测量的技术缺陷,为快速准确地获取林下地形、树高、生物量等森林结构参数提供了可靠的数据源。对现有的星载激光雷达技术观测体系进行综述,讨论了星载激光雷达数据估测多尺度森林结构参数的适用性,定量化分析现有星载激光雷达研究成果及存在的优缺点。最后,总结当前存在的问题,对星载激光雷达技术未来的前景和发展方向进行了展望。建议后续研究可进一步加大对反演不同森林结构参数、产品体系及标准规范、林业应用精度评价、林业用激光雷达参数设计等方面的深入研究。 The spaceborne LiDAR measurement system offers a solution by covering remote areas that are challenging to access via airborne systems.This system effectively addresses the technical limitations of optical imaging and synthetic aperture radar measurements,thereby providing a reliable data source for swiftly and accurately obtaining forest structure parameters.However,the existing review on applications of spaceborne LiDAR has a lack of analysis that measures the accuracy of forest structural parameters estimated by spaceborne LiDAR as a whole and the content of the analysis is not systematic.The existing spaceborne LiDAR technology observation system were initially reviewed,and then the applicability of spaceborne LiDAR data estimation for multi-scale forest structure parameters was explored.The current development trends,as well as the existing advantages and disadvantages of satellite-borne LiDAR were also analyzed.Finally,the current challenges and anticipates the future prospects and development directions of spaceborne LiDAR technology were summarized.The research result can serve as a valuable reference for the design and application of spaceborne LiDAR remote sensing satellites in forestry.It was suggested that further research can deepen the in-depth study on the inversion of different forest structure parameters,product systems and standard specifications,accuracy evaluation of forestry applications,and design of LiDAR parameters for forestry.
作者 黄佳鹏 李国元 刘诏 HUANG Jiapeng;LI Guoyuan;LIU Zhao(School of Geomatics,Liaoning Technology University,Fuxin 123000,China 2.Land Satellite Remote Sensing Application Center,Ministry of Natural Resources,Bejing 100048,China)
出处 《农业机械学报》 EI CAS CSCD 北大核心 2024年第6期18-33,共16页 Transactions of the Chinese Society for Agricultural Machinery
基金 辽宁省教育厅基本科研项目(JYTQN2023202) 辽宁省博士科研启动基金计划项目(2023-BS-202) 国家重点研发计划项目(2020YFA0608501、2021YFE0117700) 兴辽人才计划项目(XLYC1802027)。
关键词 森林结构参数 星载激光雷达 多尺度 多源数据 forest structure parameter spaceborne LiDAR multi-scale multi-source data
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