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REMOTE SENSING FOR LAND & RESOURCES    2015, Vol. 27 Issue (1) : 1-8     DOI: 10.6046/gtzyyg.2015.01.01
Review |
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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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.
Keywords LiDAR point clouds data      tree crowns      3D convex hull      3D gliding-box algorithm      lacunarity     
:  TP79  
Issue Date: 08 December 2014
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ZHENG Shasha
DONG Pinliang
WANG Cheng
XI Xiaohuan
LYU Yibin
Cite this article:   
ZHENG Shasha,DONG Pinliang,WANG Cheng, et al. Progress in the study of forest disturbance by remote sensing[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 1-8.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2015.01.01     OR     https://www.gtzyyg.com/EN/Y2015/V27/I1/1
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[1] ZHENG Shasha, DONG Pinliang, WANG Cheng, XI Xiaohuan, LYU Yibin. Lacunarity analysis of LiDAR point clouds for tree crowns[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 103-110.
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