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    王晓轶等:Forest Canopy Height Extraction in Rugged Areas With ICESat/GLAS Data

    作者:来源:发布时间:2014-05-05

    Forest Canopy Height Extraction in Rugged Areas With ICESat/GLAS Data
    作者:Wang, XY (Wang, Xiaoyi)[ 1,2 ] ; Huang, HB (Huang, Huabing)[ 1,3 ] ; Gong, P (Gong, Peng)[ 3,1,4,5 ] ; Liu, CX (Liu, Caixia)[ 1,2 ] ; Li, CC (Li, Congcong)[ 6 ] ; Li, WY (Li, Wenyu)[ 1,2 ]
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
    卷: 52  期: 8  页: 4650-4657
    DOI: 10.1109/TGRS.2013.2283272
    出版年: AUG 2014

    摘要
    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 degrees to 15 degrees. 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 (R-2) 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.

    通讯作者地址: Wang, XY (通讯作者)
    Chinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
    地址:
    [ 1 ] Chinese Acad Sci, Jointly Sponsored Inst Remote Sensing & Digital E, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
    [ 2 ] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
    [ 3 ] Beijing Normal Univ, Beijing 100101, Peoples R China
    [ 4 ] Tsinghua Univ, Ctr Earth Syst Sci, Key Lab Earth Syst Modeling, Minist Educ, Beijing 100084, Peoples R China
    [ 5 ] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA
    [ 6 ] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China

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