Synergistic use of Landsat 8 OLI image and airborne LiDAR data for aboveground biomass estimation in tropical lowland rainforests

• Main Authors: Phua, Mui How, Shazrul Azwan Johari, Ong, Cieh Wong, Keiko Ioki, Maznah Mahali, Reuben Nilus, David A. Coomes, Colin R. Maycock, Mazlan Hashim
• Format: Article
• Language: English; English
• Published: Elsevier 2017
• Subjects: 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/34058/1/Synergistic%20use%20of%20Landsat%208%20OLI%20image%20and%20airborne%20LiDAR%20data%20for%20aboveground%20biomass%20estimation%20in%20tropical%20lowland%20rainforests.pdf; https://eprints.ums.edu.my/id/eprint/34058/2/Synergistic%20use%20of%20Landsat%208%20OLI%20image%20and%20airborne%20LiDAR%20data%20for%20aboveground%20biomass%20estimation%20in%20tropical%20lowland%20rainforests1.pdf; https://eprints.ums.edu.my/id/eprint/34058/; https://www.sciencedirect.com/science/article/pii/S0378112717307247?casa_token=vXUR0z2pgKUAAAAA:lweayP8uSvIlWR6_ngHRNQUiN5hCJfnGs7xW0SDxWC1hZ_FWjtDx7F_EWCW0oEvk7k1xQk5Apw; http://dx.doi.org/10.1016/j.foreco.2017.10.007
• Institution: Universiti Malaysia Sabah

Developing a robust and cost-effective method for accurately estimating tropical forest’s carbon pool over large area is a fundamental requirement for the implementation of Reducing Emissions from Deforestation and forest Degradation (REDD+). This study aims at examining the independent and combined...