• DocumentCode
    58481
  • Title

    Forest Canopy Height Extraction in Rugged Areas With ICESat/GLAS Data

  • Author

    Xiaoyi Wang ; Huabing Huang ; Peng Gong ; Caixia Liu ; Congcong Li ; Wenyu Li

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
  • Volume
    52
  • Issue
    8
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    4650
  • Lastpage
    4657
  • 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.
  • Keywords
    remote sensing by laser beam; vegetation; China; Costa Rica; Geoscience Laser Altimeter System data; ICESat-GLAS data; Santa Rosa National Park; Savitzky-Golay filter; Sigbeg determination; Xinlin forest; forest canopy height extraction method; laser vegetation imaging sensor data; root-mean-squared errors; rugged areas; slope correction; Earth; Educational institutions; Laser beams; NASA; Noise; Remote sensing; Vegetation; Forest inventory; global forest monitoring;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2283272
  • Filename
    6637006