Deforestation remains one of the most significant contributors to global carbon emissions, with the Amazon rainforest and Southeast Asian forests serving as critical carbon sinks. This study provides a data-driven analysis of deforestation trends in these regions, examining their impact on atmospheric carbon levels and climate change. Using satellite imagery, carbon flux data, and deforestation rates, this research quantifies the extent to which forest loss contributes to rising CO? emissions.

Findings indicate that deforestation in the Amazon and Southeast Asia is driven primarily by agricultural expansion, illegal logging, and infrastructure development, leading to substantial carbon release and ecosystem degradation. The study highlights regional disparities in deforestation rates, carbon sequestration potential, and policy effectiveness, with the Amazon experiencing high rates of illegal deforestation and Southeast Asia facing palm oil-driven forest loss.

Comparative analysis of existing mitigation strategies, such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation), reforestation efforts, and stricter land-use policies, reveals varying levels of success across both regions. The research underscores the need for strengthened enforcement mechanisms, sustainable land-use practices, and enhanced international cooperation to curb deforestation-driven emissions.

By integrating advanced data analytics and policy evaluation, this study provides valuable insights for governments, conservation organizations, and policymakers seeking to develop more effective strategies for forest conservation and carbon emission reduction. Addressing deforestation in these critical regions is essential for achieving global climate targets and preserving biodiversity.