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Regional forest biomass estimation using ICESat/GLAS spaceborne LiDAR over Borneo
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 | Borneo | forests | LiDAR | 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: http://wwww.tandfonline.com/10.1080/17583004.2015.1066638. |
Type: | article (author version) |
URI: | http://hdl.handle.net/2115/60762 |
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)
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Submitter: 平野 高司
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