Ruchita Ingle

Ruchita Ingle, PhD, is a postdoctoral researcher in Earth Systems and Global Change, focusing on remote sensing, machine learning, and environmental monitoring in peatland ecosystems. Her work bridges climate science, geospatial analysis, and data-driven modeling with affiliations in peatland research networks.

Research Interests:

• Peatland Methane and Carbon Dioxide Emissions
• Satellite Data Analysis (Sentinel-2, PlanetScope)
• Upscaling Techniques for Climate Modeling
• IoT Sensor Data Quality in Environmental Networks
• Hybrid Models for Gross Primary Productivity

Research Trends: Her recent publications emphasize machine learning integration with satellite and IoT sensor data to quantify greenhouse gas fluxes in peatlands. Key tools include Google Earth Engine, Eddy-Covariance, and Radiative Transfer Models, with geographic focus on Ireland and the Netherlands.

Advising: As co-promotor of the Greenhouse gas balance of fen meadow landscapes PhD project, she mentors candidate Engel, F. on peatland carbon dynamics.