Subhadip Dey (Ph.D.)
I have received my B. Tech. (2016) in Agricultural Engineering from Bidhan Chandra Krishi Viswavidyalya, India and M. Tech. (2018) in Aquacultural Engineering from Indian Institute of Technology Kharagpur, India. Also, I have received my Ph.D. degree (2021) from Center of Studies in Resources Engineering, Indian Institute of Technology (IIT) Bombay.
I am focused on vegetation mapping and monitoring using microwave and optical remote sensing techniques. Crop mapping from satellite data is one of the most difficult challenges due to various climatic conditions like rainfall, snow, wind effect, the effect of solar radiation, etc. In addition to this, the physical characteristics of vegetation and their interactions with soil and water make the growth dynamics very complex in a real scenario. However, the presence of uniqueness in the signatures of diverse vegetation might be able to separate different vegetation classes to a large extent. Therefore I am trying to find the existing pattern in the complex vegetation and soil moisture dynamics using synthetic aperture radar sensors like RADARSAT-2, Sentinel-1 and optical sensors like Landsat, Sentinel-2, etc. I am also involved in surface soil moisture retrieval, snow type mapping and determination of polarimetric signature from SAR data. Also, I have an experience in machine learning such as attention mechanism, domain adaptation and cloud based computing such as Amazon web service (AWS) and Google Earth Engine for computation of Big Earth Observation Data.
Synthetic Aperture Radar (SAR), Polarimetry, Agricultural crop classification and monitoring, Soil moisture estimation, Retrieval of crop biophysical parameters, Crop phenology, Time series analysis, Cloud-based computation, Machine learning