Mongabay

Laser Scanning of Forests May Boost Carbon Estimates, but Credibility Questions Linger

AI-moderated Facts checked against scientific databases

Introduction

Forests are natural carbon sinks. However, as reforestation of degraded land becomes a global climate solution, a persistent question lingers: How do we know how much carbon a forest is actually storing? Researchers say ground-based laser scanning, or LiDAR, could improve the efficiency of measuring the outcomes of reforestation.

The Role of LiDAR in Carbon Estimation

A recent paper published in Ecological Solutions and Evidence found that LiDAR scanning in Australia offered an improvement over other methods of carbon estimation. LiDAR instruments emit thousands of tiny laser pulses to create complex and intricate 3D maps of a forest’s structure, allowing researchers to more accurately estimate how much carbon is contained in its trees.

Alexander W. Cheesman, co-author of the paper and senior research fellow at James Cook University, North Queensland, Australia, calls the technology “transformative.” “Traditional field surveys heavily relied on manually measuring the height and diameter of a relatively small number of trees. But laser scanning captures the whole forest in 360 degrees, recording every stem, every branch and the shape of the canopy,” Cheesman told Mongabay during a virtual interview.

Carbon Accounting Model in Australia

In Australia, the Full Carbon Accounting Model (FullCAM) is the government’s main tool to track carbon stored in soil and roots (belowground carbon) and vegetation (aboveground carbon). It is used for national greenhouse gas reporting to the United Nations and to assess carbon credit within the country, through the government’s Australian Carbon Credit Unit (ACCU) Scheme.

Challenges and Perspectives

However, the use of LiDAR for carbon estimation is not without challenges. Questions about the credibility and accuracy of the data collected by this technology still linger. Additionally, the large-scale implementation of LiDAR for forest monitoring may be limited by factors such as cost and access to remote areas.

Despite these challenges, the potential of LiDAR to improve carbon estimates is significant. As the technology continues to evolve, it is likely that we will see a greater adoption of LiDAR in reforestation and carbon monitoring initiatives around the world.

Conclusion

Laser scanning of forests may be a powerful tool for improving carbon estimates and supporting reforestation efforts. However, it is crucial to address the credibility and accuracy issues associated with this technology. As we continue to seek solutions to the climate challenge, the adoption of innovative technologies like LiDAR can play a crucial role in promoting sustainable forest management practices.

Source / Reference: Mongabay

Disclaimer: The content on this site, including news analyses, is generated by Artificial Intelligence algorithms using live climate data and reporting feeds from varied sources. While we use rigorous scientific sources (NOAA, NASA), AI can make mistakes or lack human context. Always cross-check sensitive local actions or claims. We disclaim any liability for autonomous actions taken based on automated content generated on this site.

Tags: laser scanning of forests, carbon estimation, reforestation, LiDAR, carbon sinks

Related Articles

Empowering Guatemalan Villages Affected by Plastic Climate Pressure: US Against the European Union on Environmental Rules COP17 of Desertification: A Crucial Meeting for the Future of Soil and Drought Rise in Violence Against Indigenous People in Brazil: Analysis and Implications STF Authorizes Mining in Cinta-Larga People's Territory: Environmental and Social Implications Discovery of Hydrocarbons in the Amazon River Mouth: What We Know and What We Still Don't Know
← News

Join the Green Movement

Receive our weekly "Climate Summary" directly in your inbox.

Privacy & GDPR Settings

Manage your privacy preferences and control how your personal data is processed. You can change these settings at any time.

🍪 Essential Cookies

Always Active

Required for basic website functionality and security. Cannot be disabled.

📊 Analytics & Performance

Help us understand how you use our website to improve your experience.

Analytics Cookies

📧 Marketing & Communications

Receive updates, newsletters, and promotional content.

Email Notifications
SMS/WhatsApp Notifications

👁️ Personalization

Customize your experience based on your preferences and history.

Personalized Content

🔗 Third-Party Services

Allow third-party services for enhanced functionality and social features.

Third-Party Cookies

🔄 Data Processing

Allow processing of your data and preferences for enhanced services.

Enhanced Data Processing