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1. Air-Quality-Prediction-Model Air-Quality-Prediction-Model Public

   Forked from eteh1/Air-Quality-Prediction-Model

   This Python-based project leverages machine learning to predict air quality levels using synthetic pollutant data, simulating real-world air quality monitoring for various pollutants.

   Python

2. The-impact-of-dam-management-and-rainfall-patterns-on-flooding-in-the-Niger-Delta-Using-Sentinel-1 The-impact-of-dam-management-and-rainfall-patterns-on-flooding-in-the-Niger-Delta-Using-Sentinel-1 Public

   Forked from eteh1/The-impact-of-dam-management-and-rainfall-patterns-on-flooding-in-the-Niger-Delta-Using-Sentinel-1

   This study explores the influence of dam management practices and rainfall variability on flood patterns in the Niger Delta.

   Python

3. Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-Change Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-Change Public

   Forked from eteh1/Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-Change

   The dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and machine learning models. Historical satellite data (Landsat, Se…

   Jupyter Notebook

4. Greenhouse-Gas-Monitoring-with-Satellites Greenhouse-Gas-Monitoring-with-Satellites Public

   Forked from Akajiaku1/Greenhouse-Gas-Monitoring-with-Satellites

   The use of advanced remote sensing technologies to measure atmospheric concentrations of gases like carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O) on a global scale. Satellites such a…