Dynamic savanna burning emission factors based on satellite data using a machine learning approach

Dynamic savanna burning emission factors based on satellite data using a machine learning approach

<p><span id="page1040"/>Landscape fires, predominantly found in the frequently burning global savannas, are a substantial source of greenhouse gases and aerosols. The impact of these fires on atmospheric composition is partially determined by the chemical breakup of the constit...

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Bibliographic Details
Main Authors: R. Vernooij, T. Eames, J. Russell-Smith, C. Yates, R. Beatty, J. Evans, A. Edwards, N. Ribeiro, M. Wooster, T. Strydom, M. V. Giongo, M. A. Borges, M. Menezes Costa, A. C. S. Barradas, D. van Wees, G. R. Van der Werf
Format: Article
Language:English
Published: Copernicus Publications 2023-10-01
Series:Earth System Dynamics
Online Access:https://esd.copernicus.org/articles/14/1039/2023/esd-14-1039-2023.pdf

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https://esd.copernicus.org/articles/14/1039/2023/esd-14-1039-2023.pdf

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