Sujoy Mudi

Sujoy Mudi is an expert in geospatial data analysis and spatial ecology. He has extensive experience analysing and integrating various satellite imagery and collateral geospatial data using geo-statistical and machine learning algorithms. His broad research areas include forest fire modelling, climate change analysis, land cover, hydrological and dynamic vegetation modelling, advanced forest and tree cover classification, characterising forest biophysical and structural attributes, plant biomass, atmospheric carbon flux, and tree-based landscape restoration planning. He has developed a broad experience of using remote sensing and GIS data and products, large spatial data, various land surface models, numerous image processing software, Python, R-programming, JavaScript and Google Earth Engine (GEE) platform.

Before joining BeZero, he was Senior Project Assistant (SPA) at Indian Institute of Technology Kharagpur, conducting research on Forest fire modelling in Sikkim Himalaya.