Satya Prakash is a research assistant and doctoral student in the Department of Grassland Science and Renewable Resources at the University of Kassel. His research interest focuses on handling remote sensing data for spatial and geostatistical analysis, as well as the management of natural resources such as agriculture, forestry, and climate change studies. He completed Integrated Master of Technology degree in Geoinformatics from Central University of Jharkhand, India. Before starting his doctoral research at UNiK, he gained experience working with the Institute for Social and Economic Change in Bengaluru, India, and the Haryana Space Application Centre, India. During his master’s program, he conducted research on forest-based models to understand the climatic impacts on the Western Ghats, India from IITM, Pune, India. His current research focuses on developing machine learning and deep learning methods to map and understand the spatial-temporal dynamics of Field Margin Vegetation in agricultural landscape using remote sensing data.

• Machine and deep learning
• Satellite remote sensing data analysis
• Field margin vegetation and agriculture landscape patterns
• Spatial-temporal patterns of land use and land cover