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

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...

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Bibliographic Details

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:	en en
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
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