Postdoc research associate
Debmita Bandyopadhyay is a postdoc jointly working in the Department of Applied Mathematics and Theoretical Physics and the Plant Sciences department with Prof. Carola Schönlieb (from DAMTP) and Prof. David Coomes (in FEC). Her current research in the INTEGRAL project entails the development of machine learning techniques for forest species mapping. The project aims to understand forest health by mapping the complex mixed forests, utilizing hyperspectral images over the Indian terrain. She did her PhD (from IIT Bombay, India) in remote sensing for earth observations in the Himalayan region. She has extensive experience handling optical and radar remote sensing data for glaciology and high-altitude vegetation dynamics applications.
Research area: multi-sensor data analysis, forest species mapping, Alpine vegetation dynamics, statistical modelling, machine learning
Gulab Singh, Debmita Bandyopadhyay, Nela Bala Raju, Shradha Mohanty, Rashmi Malik and Anil V. Kulkarni, Anomalous glacier thinning due to climate feedback mechanism in Himalaya and evidences in other mountain ranges, Remote Sensing Applications: Society and Environment, 2021 (https://doi.org/10.1016/j.rsase.2021.100512)
Gulab Singh, Bala Nela Raju, Debmita Bandyopadhyay, Shradha Mohanty, Anil V. Kulkarni, Discovering anomalous dynamics and disintegrating behaviour in glaciers of Chandra-Bhaga sub-basins, part of Western Himalaya using DInSAR, Remote Sensing of Environment, 2020 (doi:10.1016/j.rse.2020.111885)
Debmita Bandyopadhyay, Gulab Singh and Anil V. Kulkarni, Spatial distribution of decadal ice-thickness change and glacier stored water loss in Upper Ganga basin, India during 2000-2014, Scientific Reports, 2019 (doi:10.1038/s41598-019-53055-y)
Unmesh Khati, Vineet Kumar, Debmita Bandyopadhyay, Mohamed Musthafa and Gulab Singh, Identification Of Forest Cutting In Managed Forest Of Haldwani, India Using ALOS-2/Palsar-2 SAR Data, Journal of Environmental Management, 2018 (doi.org/10.1016/j.jenvman.2018.02.025)
Debmita Bandyopadhyay, Dhruval Bhavsar, Arijit Roy, Kamal Pandey and Stutee Gupta, Red Edge Indices as Indicator of Vegetation Health using Hyperspectral Remote Sensing data, Proceedings of the National Academy of Sciences India, 2017 (DOI: 10.1007/s40010-017-0456-4)