Editorial Type: RESEARCH ARTICLES
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Online Publication Date: 15 Sept 2025

MONITORING, REPORTING, AND VERIFICATION (MRV) FOR CARBON OFFSETTING USING DEEP LEARNING TECHNIQUES

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Article Category: Research Article
Page Range: 295 – 320
DOI: 10.3992/jgb.20.3.295
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ABSTRACT

Amid the escalating global climate crisis, regulations mandating companies to mitigate carbon emissions through tree planting have become increasingly prevalent. In response, this paper delves into an innovative Automated Monitoring, Reporting, and Verification (MRV) program designed to ensure transparent and accountable carbon offsetting. Our focus lies in evaluating this MRV system, which scrutinizes companies’ compliance with carbon offset requirements by monitoring their tree-planting initiatives. Leveraging advanced remote sensing technologies such as satellite imagery, LiDAR, and drones, our methodology revolutionizes vegetation detection, enabling accurate assessment of plant life conditions and precise estimation of carbon sequestration across vast areas. Furthermore, machine learning and computer vision algorithms contribute significantly to automated species detection, thereby facilitating biodiversity conservation efforts through afforestation and reforestation initiatives. In our implementation, we achieved exceptional accuracy in vegetation detection, with precision and recall rates exceeding 98%, and a mean average precision (MAP) score surpassing 95%. Additionally, employing YOLOv8 for image segmentation to generate masks for tree trunks for tree age detection with an accuracy of 98%, and YOLOv8 for image classification for species detection with an accuracy of 91%, has significantly enhanced the robustness of our methodology. The heart of carbon offsetting is meticulously examined in this research, elucidating evolving methodologies and technologies for quantifying and reporting carbon capture in trees and vegetation. We emphasize the integration of MRV techniques with carbon trading platforms to ensure transparent and verifiable carbon offset claims. Synthesizing these advancements, our research provides a comprehensive outlook on how technological innovation is reshaping carbon offsetting, fostering more effective climate change mitigation, and supporting biodiversity conservation efforts. Ultimately, our methodology guides us towards a sustainable and resilient future by offering actionable solutions to combat the global climate crisis.

Copyright: © 2025 College Publishing 2025

Contributor Notes

Corresponding Author devashish.b@somaiya.edu
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