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国土资源遥感  2015, Vol. 27 Issue (1): 1-8    DOI: 10.6046/gtzyyg.2015.01.01
  综述 本期目录 | 过刊浏览 | 高级检索 |
森林扰动遥感监测研究进展
杨辰1,2, 沈润平3
1. 上海市气象灾害防御工程技术中心, 上海 200030;
2. 上海市防雷中心, 上海 200030;
3. 南京信息工程大学遥感学院, 南京 210044
Progress in the study of forest disturbance by remote sensing
YANG Chen1,2, SHEN Runping3
1. Shanghai Meteorological Disaster Protection Technology Center, Shanghai 200030, China;
2. Shanghai Lightning Protection Center, Shanghai 200030, China;
3. School of Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China
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摘要 作为陆地生态系统的主体,森林的碳循环与碳蓄积对研究陆地生态系统起着重要作用,但目前森林扰动资料的缺乏在很大程度上影响着区域森林碳通量的估算精度。在对森林扰动监测方法和监测指数进行总结的基础上,对几种森林扰动监测指数进行了比较研究。鉴于当前基于长时间序列的森林扰动研究主要集中在北美国家,国内鲜有系统报道,因此,针对我国森林变化特点,结合长时间序列扰动分析方法和适宜的扰动监测指数,研究适用于我国森林的扰动监测模型具有重要的理论意义和应用价值。
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郑莎莎
董品亮
王成
习晓环
吕毅斌
关键词 LiDAR点云数据树冠三维凸包三维滑动盒算法空隙度    
Abstract:Forest ecosystems, which constitute a major part of the terrestrial biosphere, play an important role in terrestrial carbon cycling and storage. However, the accuracy of regional forest carbon-flux estimation is greatly influenced by the lack of forest disturbance data. After reviewing the monitoring methods and index, the authors compared several disturbance monitoring indices. The current study of forest disturbance based on long time series is mainly conducted by North America countries, and China's research work in this aspect is very rare. Therefore, on account of characteristics of China's forest change, it is of important theoretic significance and application value to develop a disturbance monitoring method applicable to China's forest by combining a long time series disturbance analysis method and a appropriate monitoring index.
Key wordsLiDAR point clouds data    tree crowns    3D convex hull    3D gliding-box algorithm    lacunarity
收稿日期: 2013-10-18      出版日期: 2014-12-08
:  TP79  
基金资助:上海市气象局面上项目(编号: MS201408)和国家重点基础研究发展计划(973计划)项目(编号: 2010CB950701)共同资助。
通讯作者: 沈润平(1963-),男,教授,博士生导师,主要从事遥感建模与分析研究。Email: rpshen@nuist.edu.cn。
作者简介: 杨辰(1988-),男,硕士,研究方向为生态环境遥感及气象灾害风险分析。Email: yangc@lightning.sh.cn。
引用本文:   
杨辰, 沈润平. 森林扰动遥感监测研究进展[J]. 国土资源遥感, 2015, 27(1): 1-8.
YANG Chen, SHEN Runping. Progress in the study of forest disturbance by remote sensing. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 1-8.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2015.01.01      或      https://www.gtzyyg.com/CN/Y2015/V27/I1/1
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