Remote sensing and machine learning techniques for above-ground biomass estimation on a regional scale

Date

2023

Authors

Abdollahi, Abolfazl
Yebra, Marta

Journal Title

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Volume Title

Publisher

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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Citation

Source

Proceedings of the 25th International Congress on Modelling and Simulation

Type

Conference paper

Book Title

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Access Statement

Open Access

License Rights

Creative Commons Attribution 4.0 International CC BY License

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