Quantifying terrestrial carbon in the context of climate change: a review of common and novel technologies and methods
Samuel Gameiro, Manuel Eduardo Ferreira, Luis Fernando Chimelo Ruiz, Gillian L. Galford, Mojtaba Zeraatpisheh, Victor Fernandez Nascimento, Rosane Garcia Collevatti

TL;DR
This paper reviews current and emerging methods for measuring carbon in terrestrial ecosystems to better understand and address climate change.
Contribution
The paper provides a comprehensive review of carbon quantification methods and highlights the growing role of remote sensing and machine learning.
Findings
The Walkley-Black method and Elemental Analysis are widely used for soil carbon measurement.
Remote sensing and machine learning are increasingly used alongside traditional methods for carbon modeling.
Forest and agricultural areas are the most studied, with the U.S. and China leading in research output.
Abstract
Understanding carbon dynamics in Earth’s ecosystem is necessary for mitigating climate change. With recent advancements in technologies, it is important to understand both how carbon quantification in soil and vegetation is measured and how it can be improved. Therefore, this study conducted a bibliometric and bibliographic review of the most common carbon quantification methodologies. Among the most widely used techniques, the Walkley-Black method and Elemental Analysis stand out for measuring below-ground carbon, while forest inventories are prominent for assessing above-ground carbon. Additionally, we found that the United States and China have the largest number of publications on this topic, with forest and agricultural areas being the most studied, followed by grasslands and mangroves. However, it should be noted that despite being indirect techniques, remote sensing, regression…
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Taxonomy
TopicsAtmospheric and Environmental Gas Dynamics · Climate change and permafrost · Remote Sensing and LiDAR Applications
