Kesav has a background in Computer Science, with a special interest in the practical and implementable applications of Remote Sensing and Geographical Information Systems (GIS). He is currently pursuing research on the Application of model data fusion techniques for natural hazards modelling and analytics in developing countries, especially in the Indian subcontinent. This work primarily focuses on the development of computationally efficient methods for modelling flood events in large data scarce regions which can be executed by using novel remote sensing data including GNSS-R, as in the case of CYGNSS.
Kesav Unnithan's Articles
Satellites used to understand hurricane and cyclone behaviour could hold the key to predicting, and preparing, regions at risk of major flooding events.