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首页»科研成果» 2014
李丛丛与合作者在IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING发表论文
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Forest Canopy Height Extraction in Rugged Areas With Xiaoyi Wanga,bc, Huabing Huanga,b, Peng Gonga,b,d,e, Caixia Liua,b,c, Congcong Lif, and Wenyu Lia,b,c a the State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100101, China b the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences (CAS) and Beijing Normal University, Beijing 100101, China c the University of the Chinese Academy of Sciences, Beijing 100049, China. d the Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, China e the Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA 94720, USA f the College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China. ABSTRACT Geoscience Laser Altimeter System data have been widely used in forest canopy height extraction. It is still challenging over rugged areas. In this paper, we propose a forest canopy height extraction method consisting of the Savitzky-Golay filter and fitting, Sigbeg determination based on the fitting results, and slope correction for rugged areas, particularly for slopes ranging from 5 ° to 15 °. The method was applied to both the Xinlin Forest, China, and Santa Rosa National Park, Costa Rica. The performance of this method was validated by field measurement and Laser Vegetation Imaging Sensor data. The goodness of fit (R2) reached 0.73 and 0.78, respectively, and root-mean-squared errors (RMSEs) were 2.27 and 3.75 m over the two areas, respectively. KEY WORDS: Forest inventory, global forest monitoring PUBLISHED BY: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (8): 4650-4657 SOURCE: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6637006&tag=1 |
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