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

Masato Hayashi, Nobuko Saigusa, Yoshiki Yamagata, Takashi Hirano

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)19-33
Number of pages15
JournalCarbon Management
Issue number1-2
Publication statusPublished - 2015
Externally publishedYes


  • Aboveground biomass
  • Borneo
  • Forests
  • LiDAR
  • Satellite remote sensing

ASJC Scopus subject areas

  • General Environmental Science


Dive into the research topics of 'Regional forest biomass estimation using ICESat/GLAS spaceborne LiDAR over Borneo'. Together they form a unique fingerprint.

Cite this