Regional forest biomass estimation using ICESat/GLAS spaceborne LiDAR over Borneo
Regional forest biomass estimation using ICESat/GLAS spaceborne LiDAR over Borneo
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DOI：
10.1080/17583004.2015.1066638
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发表时间：
2015-03
影响因子：
3.1
通讯作者：
M. Hayashi;N. Saigusa;Y. Yamagata;T. Hirano
中科院分区：
文献类型：
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作者：
M. Hayashi;N. Saigusa;Y. Yamagata;T. Hirano
摘要背景：我们旨在阐明星载光探测和测距（LiDAR）的潜力，以满足对森林资源大规模监测日益增长的需求。结果：利用冰、云和陆地高程卫星(ICESat)/地球科学激光高度计系统（GLAS）数据建立了婆罗洲地上生物量（AGB）和冠层高度估算的经验模型，得到的均方根误差分别为38.7 Mg ha-1和4.0 m。glas估计的AGB平均为191.8 Mg ha-1。2004 - 2007年，AGB平均减少33.1 Mg ha-1，年损失率为2.4%。婆罗洲的总AGB估计为10.34 Gt。结论：结果表明星载激光雷达监测森林资源的潜力，及其在REDD+实施中发挥重要作用的潜力。
Abstract Background: We aimed to clarify the potential of spaceborne light detection and ranging (LiDAR) to meet the increased demand for large-scale monitoring of forest resources. Results: We developed empirical models to estimate aboveground biomass (AGB) and canopy height in Borneo from Ice, Cloud, and land Elevation Satellite (ICESat)/Geoscience Laser Altimeter System (GLAS) data, and obtained root-mean-square errors of 38.7 Mg ha–1 and 4.0 m, respectively. GLAS-estimated AGB averaged 191.8 Mg ha–1. From 2004 to 2007, AGB decreased by an average of 33.1 Mg ha–1, and the rate of forest loss was 2.4% year–1. The total AGB in Borneo was estimated as 10.34 Gt. Conclusions: The results demonstrate the potential of spaceborne LiDAR for monitoring forest resources, and its potential to play an important role in REDD+ implementations.