About
Research Fellow of Vegetation Remote Sensing
Research
Research groups
Research interests
- Crop disease/stress detection; Hyperspectral, LiDAR Remote Sensing
- Dynamic Global Vegetation Model (DGVM) and Carbon Credits
- Climate smart precision agriculture and imapct of extream weather event on vegetation phenology
- Forest fire
- Artificial Intellegence (AI) Foundation Model (FM) and Internet of Things (IoT)
Current research
Currently he is working on several projects: vegetation biophysical variables (FAPAR, LAI, Chlorophyll) estimation from satellite imagery; development of a framework for estimating FAPAR from automated wireless PAR networks; satellite (Sentinel-3, Proba-V, VIIRS, MODIS) land product validation; above ground biomass (AGB) estimation using Sentinel-2 and terrestrial laser scanner (TLS) observation to verify the woodland carbon code (WCC)'s existing protocol for carbon credits; crop classification and crop yield estimation using Sentinel-2 imagery and machine learning approaches; assessment of crop residue burning or the stubble burning for northern India.
Publications
Biography
Somnath Paramanik is a Research Fellow at the School of Geography and Environmental Science, University of Southampton, completed Ph.D. at the esteemed Indian Institute of Technology Kharagpur (IIT Kgp). His research focuses on the application of Remote Sensing and GIS in Agriculture and Forestry, with a specific emphasis on the estimation of biophysical parameters such as Leaf Area Index (LAI) and Chlorophyll using a combination of satellite and ground observations. His academic journey includes a Master's degree in Earth System Science and Technology from IIT Kgp (2015-2017) and a Bachelor's degree in Agricultural Engineering from Bidhan Chandra Krishi Viswavidyalaya (2011-2015), India. He is passionate about advancing the understanding of Earth Observation and Geospatial Science and contribute a valuable insights to the fields of Environmental science and Sustainability.