[1]曹 林,佘光辉*,代劲松,等.激光雷达技术估测森林生物量的研究现状及展望[J].南京林业大学学报(自然科学版),2013,37(03):163-169.[doi:10.3969/j.issn.1000-2006.2013.03.029]
 CAO Lin,SHE Guanghui*,DAI Jinsong,et al.Status and prospects of the LiDAR-based forest biomass estimation[J].Journal of Nanjing Forestry University(Natural Science Edition),2013,37(03):163-169.[doi:10.3969/j.issn.1000-2006.2013.03.029]





Status and prospects of the LiDAR-based forest biomass estimation
曹 林1 佘光辉1* 代劲松1徐建新2
1.南京林业大学森林资源与环境学院,江苏 南京 210037;
2.江苏省测绘工程院,江苏 南京 210013
CAO Lin1 SHE Guanghui1* DAI Jinsong1 XU Jianxin2
1.College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China;
2.Surveying Engineering Institute of Jiangsu Province, Nanjing 210013, China
激光雷达 生物量 碳储量 碳汇计量 遥感 气候变化
LiDAR biomass carbon storage carbon accounting remote sensing climate change
Biomass dynamic monitoring and carbon storage quantitative estimation have become more and more important with the global climate change exacerbating. LiDAR(light detection and ranging)can be used as a tool to accurately acquire the three dimensional information of the forests, and usually has a high correlation with the biophysical parameters such as volume and biomass. It shows a great application potential of regional biomass continuous mapping and carbon storage estimation. In this paper, the composition and principle of a typical LiDAR system are introduced, and the various methods of biomass extraction and model fitting from different LiDAR data types are described, especially airborne LiDAR-based biomass estimations for the single tree and stand level. Finally, the limitation of biomass information extraction was discussed, and the future prospects of LiDAR development, such as the integration of data from various remote sensors and the most recent LiDAR hardware innovations, were presented.


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收稿日期:2012-12-04 修回日期:2013-03-12
第一作者:曹林,讲师,博士生。*通信作者:佘光辉,教授。E-mail: ghshe@njfu.edu.cn。
引文格式:曹林, 佘光辉, 代劲松,等. 激光雷达技术估测森林生物量的研究现状及展望[J]. 南京林业大学学报:自然科学版,2013,37(3):163-169.
更新日期/Last Update: 2013-05-31