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

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

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 l...

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Veröffentlicht in:Carbon management 2015-03, Vol.6 (1-2), p.19-33
Hauptverfasser: Hayashi, Masato, Saigusa, Nobuko, Yamagata, Yoshiki, Hirano, Takashi
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aboveground biomass
Borneo
forests
LiDAR
satellite remote sensing
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container_issue 1-2
container_start_page 19
container_title Carbon management
container_volume 6
creator Hayashi, Masato
Saigusa, Nobuko
Yamagata, Yoshiki
Hirano, Takashi
description 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.
doi_str_mv 10.1080/17583004.2015.1066638
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subjects aboveground biomass
Borneo
forests
LiDAR
satellite remote sensing
title Regional forest biomass estimation using ICESat/GLAS spaceborne LiDAR over Borneo
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