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

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Date

2023

Authors

Abdollahi, Abolfazl
Yebra, Marta

Journal Title

Journal ISSN

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

URI

https://hdl.handle.net/1885/733713135

Collections

ANU Research Publications

Source

Proceedings of the 25th International Congress on Modelling and Simulation

Type

Conference paper

Book Title

Entity type

Access Statement

Open Access

License Rights

Creative Commons Attribution 4.0 International CC BY License

DOI

10.36334/modsim.2023.abdollahi

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