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Regional forest biomass estimation using ICESat/GLAS spaceborne LiDAR over Borneo

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Title: Regional forest biomass estimation using ICESat/GLAS spaceborne LiDAR over Borneo
Authors: Hayashi, Masato Browse this author
Saigusa, Nobuko Browse this author →KAKEN DB
Yamagata, Yoshiki Browse this author
Hirano, Takashi Browse this author →KAKEN DB
Keywords: aboveground biomass
satellite remote sensing
Issue Date: 4-Mar-2015
Publisher: Taylor & Francis
Journal Title: Carbon management
Volume: 6
Issue: 1-2
Start Page: 19
End Page: 33
Publisher DOI: 10.1080/17583004.2015.1066638
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.
Rights: This is an Accepted Manuscript of an article published by Taylor & Francis in Carbon Management on 4 Mar 2015, available online:
Type: article (author version)
Appears in Collections:農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 平野 高司

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