LiDAR-based aboveground biomass changes data of tropical montane forest in Borneo

Phua, Mui-How; Loh, Ho Yan; James, Daniel; Ioki, Keiko; Wong, Wilson Vun Chiong; Tsuyuki, Satoshi

doi:10.15485/1897683

Title: LiDAR-based aboveground biomass changes data of tropical montane forest in Borneo

Dataset
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Abstract

Anthropogenic activities are increasingly impacting the carbon storage of tropical montane forests. We employed airborne LiDAR data to estimate the aboveground biomass (AGB) changes at high resolution in a human-modified tropical montane forest in northern Borneo. The data package consists of LiDAR-based AGB changes at 1m resolution in GeoTIFF format, a table of field and estimated AGB changes at plot level and a shape file of the plots’ coordinates. The raster data (GeoTIFF) at 1 m resolution covers two study sites (site 1: 2.67 km x 8 km; site 2: 2 km x 8 km). The GeoTIFF and shape files can be read using any GIS or image processing software. The dataset can be utilized to deepen our understanding of the carbon storage of tropical montane forests, establish reference values for Southeast Asian tropical montane forests, guide forest resource managers on rehabilitation strategies and further research on the impacts of anthropogenic land use activities.

Authors:

; Loh, Ho Yan; James, Daniel; Ioki, Keiko; Wong, Wilson Vun Chiong; Tsuyuki, Satoshi

Publication Date:: Sat Jan 01 00:00:00 EST 2022

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); High-resolution Estimation of Carbon Stock and Changes in Tropical Forests of Sabah for Capturing Climate Change Funds

Sponsoring Org.:: Ministry of Higher Education Malaysia

Subject:: 54 ENVIRONMENTAL SCIENCES

Keywords:: Carbon stock changes; Airborne laser scanning; Reducing Emissions from Deforestation and Forest Degradation (REDD); Sabah

Geolocation:: 4.3833,115.7833|4.45,115.7833|4.45,115.7|4.3833,115.7|4.3833,115.7833

OSTI Identifier:: 1897683

DOI:: https://doi.org/10.15485/1897683

Project Location:

Citation Formats


                    Phua, Mui-How, Loh, Ho Yan, James, Daniel, Ioki, Keiko, Wong, Wilson Vun Chiong, and Tsuyuki, Satoshi. LiDAR-based aboveground biomass changes data of tropical montane forest in Borneo.  United States: N. p., 2022. 
        Web.  doi:10.15485/1897683.

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                    Phua, Mui-How, Loh, Ho Yan, James, Daniel, Ioki, Keiko, Wong, Wilson Vun Chiong, & Tsuyuki, Satoshi. LiDAR-based aboveground biomass changes data of tropical montane forest in Borneo.  United States.  doi:https://doi.org/10.15485/1897683

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                    Phua, Mui-How, Loh, Ho Yan, James, Daniel, Ioki, Keiko, Wong, Wilson Vun Chiong, and Tsuyuki, Satoshi. 2022.  
"LiDAR-based aboveground biomass changes data of tropical montane forest in Borneo".  United States.  doi:https://doi.org/10.15485/1897683.  https://www.osti.gov/servlets/purl/1897683. Pub date:Sat Jan 01 00:00:00 EST 2022

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@article{osti_1897683,

  title        = {LiDAR-based aboveground biomass changes data of tropical montane forest in Borneo},

  author       = {Phua, Mui-How and Loh, Ho Yan and James, Daniel and Ioki, Keiko and Wong, Wilson Vun Chiong and Tsuyuki, Satoshi},

  abstractNote = {Anthropogenic activities are increasingly impacting the carbon storage of tropical montane forests. We employed airborne LiDAR data to estimate the aboveground biomass (AGB) changes at high resolution in a human-modified tropical montane forest in northern Borneo. The data package consists of LiDAR-based AGB changes at 1m resolution in GeoTIFF format, a table of field and estimated AGB changes at plot level and a shape file of the plots’ coordinates. The raster data (GeoTIFF) at 1 m resolution covers two study sites (site 1: 2.67 km x 8 km; site 2: 2 km x 8 km). The GeoTIFF and shape files can be read using any GIS or image processing software. The dataset can be utilized to deepen our understanding of the carbon storage of tropical montane forests, establish reference values for Southeast Asian tropical montane forests, guide forest resource managers on rehabilitation strategies and further research on the impacts of anthropogenic land use activities.},

  doi          = {10.15485/1897683},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sat Jan 01 00:00:00 EST 2022},

  month        = {Sat Jan 01 00:00:00 EST 2022}

}

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DOI: https://doi.org/10.15485/1897683

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