Related Repos logoRelated Repos
Search

Nelvinebi / Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-Change

The dynamic nature of shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and machine learning models. Historical satellite data (Landsat, Sentinel) were analyzed to identify trends in erosion and accretion. Machine learning techniques, including time-series analysis and predictive
☆18Updated 2 months ago

Alternatives and similar repositories for Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-Change:

Users that are interested in Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-Change are comparing it to the libraries listed below