Estimating aboveground biomass changes in a human-modified tropical montane forest of Borneo using multi-temporal airborne LiDAR data

• Main Authors: Ho Yan Loh, Daniel James, Keiko Ioki, Wong, Wilson Vun Chiong, Satoshi Tsuyuki, Phua, Mui How
• Format: Article
• Language: English; English
• Published: Elsevier B.V 2022
• Subjects: QE1-350.62 General Including geographical divisions; QH1-(199.5) General Including nature conservation, geographical distribution; QK1-474.5 General Including geographical distribution
• Online Access: https://eprints.ums.edu.my/id/eprint/34051/1/Estimating%20aboveground%20biomass%20changes%20in%20a%20human-modified%20tropical%20montane%20forest%20of%20Borneo%20using%20multi-temporal%20airborne%20LiDAR%20data.pdf; https://eprints.ums.edu.my/id/eprint/34051/2/Estimating%20aboveground%20biomass%20changes%20in%20a%20human-modified%20tropical%20montane%20forest%20of%20Borneo%20using%20multi-temporal%20airborne%20LiDAR%20data1.pdf; https://eprints.ums.edu.my/id/eprint/34051/; https://www.sciencedirect.com/science/article/pii/S235293852200129X; https://doi.org/10.1016/j.rsase.2022.100821

Estimating aboveground biomass changes in tropical mountains is difficult due to the small-scale anthropogenic land use activities such as selective logging. This study examined how multitemporal airborne LiDAR data could estimate AGB changes in Borneo’s tropical montane forest. Using airborne LiDAR...