Inicio
Explorar
nav.journalClub
Tendencias
Más
synapse
⌘+K
Idioma
Español
Español
Two decades of surface water change in Lake Volta: A hybrid spectral index and machine learning approach (2004–2024) | Synapse
March 3, 2026
Two decades of surface water change in Lake Volta: A hybrid spectral index and machine learning approach (2004–2024)
AM
Adelina Mensah
University of Ghana
EY
Emmanuel Yeboah
Nanjing University of Information Science and Technology
CK
Clement Kwang
Ver todo
Puntos clave
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.
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Cite This Study
Copy
Mensah et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75ecbc6e9836116a29b64
https://doi.org/https://doi.org/10.1016/j.ecofro.2026.01.013