Komal Rai
Komal Rai is a dedicated researcher in the field of geoinformatics and remote sensing, currently pursuing her PhD at the Indian Institute of Technology Bombay. Her academic journey includes an M.Tech in Geoinformatics from Graphic Era University and a B.Tech from the University of Petroleum and Energy Studies. With hands-on experience at institutions like BITS Pilani (Goa campus) and the Uttarakhand Space Application Centre, Komal has worked on diverse projects including forest phenology, flood risk mapping, and forest degradation analysis.
Her research has been presented at prestigious forums such as EGU 2025, InGARSS 2024, and MedGU 2024, and published in IEEE, Materials Today, and GIS Science journals. Komal’s expertise spans GIS, SAR imagery analysis, forest disturbance modeling, and risk zonation, with skills in Python, ArcGIS, ERDAS, and more. A certified reviewer for IEEE Access and a recipient of top honors in the NGP-DST GeoInnovation Challenge, she is passionate about applying geospatial technology for environmental sustainability, disaster management, and forest conservation.
Sessions
This study investigates forest disturbance patterns across Maharashtra using multi-temporal remote sensing data. By analyzing vegetation indices and land surface temperature trends from 2014 to 2024, the research identifies key spatiotemporal shifts in forest cover. The findings contribute to understanding ecosystem dynamics and support forest management and conservation strategies.