Two decades of surface water change in Lake Volta: A hybrid spectral index and machine learning approach (2004–2024)

Key Points

• Surface water in Lake Volta has changed significantly over the twenty-year period, prompting concern for local ecosystems.
• Key evidence includes observed fluctuations in water levels and quality metrics captured through advanced analysis methods.
• Machine learning techniques combined with hybrid spectral index assessments reveal patterns in the data over time.
• The findings highlight the need for ongoing monitoring and may inform future environmental policy decisions.