Remote sensing and machine learning techniques for above-ground biomass estimation on a regional scale
Date
2023
Authors
Abdollahi, Abolfazl
Yebra, Marta
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Modelling and Simulation Society of Australia and New Zealand Inc.
Abstract
The present research centers around the assessment of biomass at a regional scale in the Greater Sydney region of Australia. This is achieved through the integration of data from the Sentinel-2 satellite, spaceborne Light Detection and Ranging (LiDAR) observations from the Global Ecosystem Dynamics Investigation (GEDI), and the utilization of machine learning algorithms.
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Proceedings of the 25th International Congress on Modelling and Simulation
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Conference paper
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Open Access
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Creative Commons Attribution 4.0 International CC BY License
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