Currently, my research focuses on two key areas:
Investigating how land use and land cover changes impact the hydrological cycle and surface-atmosphere interactions.
Utilizing remote sensing techniques to monitor and manage water quality in coastal ecosystems.
Land use and land cover changes have profound effects on the hydrological cycle and the interaction between the Earth's surface and atmosphere. My work focuses on:
Analyzing Impacts: Examining how changes in vegetation and agriculture affect evapotranspiration, precipitation, land surface temperature, and runoff patterns.
Methods: Utilizing satellite imagery and hydrological models to assess these changes.
Applications: Supporting sustainable land management and climate change adaptation strategies by providing actionable insights into surface-atmosphere interactions.
Monitoring water quality in coastal areas is crucial for understanding and mitigating environmental challenges. My research emphasizes:
Techniques: Leveraging Sentinel-3/OLCI satellite data to assess key water quality indicators such as total suspended solids and chlorophyll-a concentrations.
Applications: Developing tools to detect and forecast algal blooms, supporting ecosystem conservation, and aiding coastal management strategies.
Future Directions: Exploring machine learning and deep learning methods to improve the accuracy of satellite-derived water quality predictions.
