Dr. Avik Bhattacharya

Dr. Bhattacharya received the integrated M.Sc. degree in Mathematics from the Indian Institute of Technology, Kharagpur, India, in 2000 and the Ph.D. degree in remote sensing image processing and analysis from Télécom ParisTech, Paris, France, and the Ariana Research Group, Institut National de Recherche en Informatique et en Automatique (INRIA), Sophia Antipolis, Nice, France, in 2007. He is currently an Associate Professor at the Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay (CSRE, IITB), Mumbai, India. Before joining IITB, he was a Canadian Government Research Fellow at the Canadian Centre for Remote Sensing (CCRS) in Ottawa, ON, Canada. He received the Natural Sciences and Engineering Research Council of Canada visiting scientist fellowship at the Canadian national laboratories, from 2008 to 2011. His current research interests include SAR polarimetry, statistical analysis of polarimetric SAR images, applications of Radar Remote Sensing in Agriculture, Cryosphere, Urban and Planetary studies.

Dr. Bhattacharya is the Editor-in-Chief of IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (GRSL). He was an Associate Editor of IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. He has been the Guest Editor of the special issue on “Applied Earth Observations and Remote Sensing in India” in IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (J-STARS), 2017. He is one of the guest editors of the special stream on “Advanced Statistical Techniques in SAR Image Processing and Analysis” in IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018. He is the Founding Chairperson of the IEEE Geoscience and Remote Sensing Society (GRSS) Chapter of the Bombay Section. He is currently leading the Microwave Remote Sensing Lab (www.mrslab.in) at CSRE, IITB.

Dr. Y. S. Rao

Dr. Rao received the M.Sc. degree in physics from Andhra University, Visakhapatnam, India, in 1982, and the Ph.D. degree in passive microwave remote sensing of soil moisture from the Indian Institute of Technology (IIT) Bombay, Mumbai, India, in 1992.,He joined the Centre of Studies Resources Engineering, IIT Bombay, in 1985, as a Senior Research Assistant and then became a Research Scientist in 1999. During 2005–2009, he was a Senior Research Scientist and then Associate Professor from 2009 to 2014. He is currently a Professor. He has engaged in both passive and active microwave remote sensing for several applications viz. soil moisture, flood mapping, and land use/land cover. He has participated in several spaceborne campaigns for collecting synchronous ground-truth data and has experience in handling various datasets for several applications. His current research interests include the application of polarimetry for geophysical parameter retrieval and SAR interferometry for DEM and displacement map generation.

Doctoral Students

Vineet Kumar

Mr. Kumar received the Bachelor degree in electronics and communication engineering and the Master degree in remote sensing and GIS. His current research is focused on the quantitative comparison of full and compact polarimetric SAR data for agricultural applications. The compact polarimetric mode is very recent for earth observing SAR satellites such as RISAT-1 and ALOS-2 mission. For same, he has analyzed simulated temporal RADARSAT-2 compact-pol SAR data for various crops.

Research Interests: Remote Sensing and GIS, SAR Polarimetry, Compact Polarimetry, Classification, Remote Sensing of Vegetation, Time Series Analysis, Biophysical Parameter Modeling, SAR Calibration.

Dipankar Mandal

Mr. Mandal received the Bachelor degree in agricultural engineering. He is currently associated with the lab as M.Tech and Ph. D. Dual degree student in remote sensing and GIS. His current research is focused on the crop biophysical parameter estimation by model inversions using PolSAR data. He is also involved in the quantitative assessment of novel vegetation indices for Quad and compact-pol SAR data for crop condition monitoring. He is also working on ingestion of SAR and Optical data in a cloud platform such as Google Earth Engine/AWS for crop mapping and monitoring.

Research Interests: Remote Sensing of Vegetation, Time Series Analysis, Biophysical Parameter Modeling, Model inversion, crop phenology.

Divya Sekhar Vaka

Mr. Sekhar received a bachelor degree in Electronics and Communication Engineering and a master degree in Remote Sensing. His research is focussed on applying differential and time series interferometric techniques such as PSInSAR and SBAS to study urban subsidence and seismic displacements. He is also interested in working on DEM accuracy assessment and glacier velocity estimation.

Research Interests: SAR Interferometry, Time Series Analysis, Urban Subsidence, Earthquake Displacement.

Ushasi Chaudhuri

Ms. Chaudhuri received her Bachelor degree in electronics and telecommunication engineering from Mumbai University. She then received her masters degree from IIT Kharagpur, with her research thesis titled ‘Analysis of Document Images based on Rough Set Reducts’ in 2017. She is currently associated with the lab as a Ph. D. student in remote sensing image processing using deep learning techniques. Her current research is focused on content-based retrieval of very high resolution remote sensing (RS) data using Graph convolution networks. She is also working on designing a generalized framework for cross-modal retrieval of RS and multi-media data.

Research Interests: Remote Sensing, Image Processing, Deep Learning, Content based retrieval.

Subhadip Dey

Mr. Dey received bachelor degree in Agricultural engineering and master degree in Aquacultural Engineering. As a PhD student, he is currently Focusing on agricultural crop mapping and their monitoring with Big Earth Observation (EO) data (SAR and Optical) using analytical as well as machine learning techniques. He is also working on the cloud-based platforms like Google Earth Engine / AWS for fast and real-time computation of Big EO data.

Research Interests: Agricultural crop classification and monitoring, Retrieval of crop biophysical parameters, Crop phenology, Time series analysis, SAR polarimetry, Cloud-based computation, Machine learning.

Narayana Rao Bhogapurapu

Mr. Narayana Rao received his bachelor degree in civil engineering and masters in Remote sensing and GIS. As a Ph.D. student, his current research is focused on the fusion of active and passive microwave remote sensing data for soil moisture retrieval and large scale soil moisture mapping.

Research Interests: Remote sensing of the land surface, Geophysical Parameter modeling, model inversion, Fusion of active-passive microwave remote sensing data.

Alumni: Doctoral Students

Dr. Siddharth Hariharan

Dr. Hariharan received his Bachelor of Engineering (B.E) degree in electronics and telecommunications from the University of Mumbai, Mumbai, India in 2007. He completed his M.Tech in geoinformatics and natural resources engineering and Ph.D. degree from the Centre of Studies in Resources Engineering (CSRE) at IIT Bombay, Mumbai, India, in 2010 and 2018 respectively. He has worked in the field of geoinformatics over the last decade, with particular attention in the domain of satellite image processing and microwave remote sensing using polarimetric SAR datasets. He has contributed novel research for Earth Observation applications in the field of urban area classification, crop classification and mineral prospectivity mapping during his doctoral work. Dr. Siddharth is currently working as an Assistant Professor at Terna Engineering College, Mumbai.

Research Interests: Machine learning with special emphasis on Random Forest classification and regression techniques for remote sensing applications like urban area classification; crop studies including crop identification, discrimination and classification; mineral prospectivity mapping.

Dr. Arnab Muhuri

Dr. Muhuri holds a Bachelors in Electrical Engineering, Master of Technology in Statistical Modelling of Satellite Images, and Doctor of Philosophy in Algorithms for Remote Satellite Earth Observation in 2018. For his exemplary research contribution in the domain of Development of Algorithms for Satellite Earth Observation Over Hindu-Kush Himalayas, he was conferred upon the Award for Excellence in PhD Research by the Honourable Prime Minister of India, at the Institute Convocation of IIT Bombay. In recognition for his scientific contributions, Dr. Muhuri was awarded the coveted Alexander von Humboldt Fellowship by the Government of the Federal Republic of Germany, and currently holding a position of PostDoctoral researcher in the domain of Remote Sensing of Cryosphere at Heidelberg University.

Research Interests: Remote sensing of cryosphere, SAR polarimetry.

Dr. Shaunak De

Dr. De received the B.E. degree in electronics engineering from the University of Mumbai, Mumbai, India, in 2012, graduating as a gold medalist. He completed his Ph. D.  in geoinformatics and natural resources engineering from the Centre of Studies in Resources Engineering (CSRE) at IIT Bombay, Mumbai, India, in 2018. His doctoral research was focused on polarimetric SAR, machine learning, and information theory. Currently, he is working as Data Scientist at Orbital Insight, San Francisco, California.

Research Interests: SAR polarimetry, Machine learning, deep neural network.

Dr. Surendar Manickam

Dr. Manickam received the M.Sc degree in physics from the Periyar University, Salem, India, and the M.Tech degree in remote sensing from the Anna University, Chennai, India, in 2008 and 2011, respectively. He received the Ph.D. degree from the Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India, in 2016. Later he worked as an Alexander von Humboldt Postdoctoral Research Fellow with the Institut für Geographie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany from 2016-2018. Currently, he is PostDoctoral Associate at Duke University, Durham, United States. His research interests include the study of bio/geophysical parameters using polarimetric synthetic aperture radar data.

Research Interests: SAR polarimetry, snow dynamics, snow parameter estimation.

Masters’ Students

  • Ms. Parmita Ghosh (2017-2019):
  • Mr. Janardan Roy (2017-2019):
  • Mr. Aasheesh Tiwari (2017-2019):
  • Mr. Rahul Kumar (2016-2018): Ship identification using Sentinel-1 data and deep learning.
  • Mr. Sambuddha Saha (2015 – 2017): SAR Image Classification Using Deep Learning Algorithm.
  • Ms. Anjaly Vashistha (2015 – 2017): Analysis of Electromagnetic Scattering from Multilayered Structure of Snow.
  • Ms. Asmeet Ahluwalia (2014 – 2016): Urban Area Mapping from PolSAR Data Using Fuzzy Inference System.
  • Ms. Khusboo Parakh (2014 – 2016): Application of Random Forest and other Machine Learning Algorithms for Geological Mapping from Remotely Sensed Hyperspectral, Multispectral and Elevation Data.
  • Mr. Debaditya Acharya (2013 – 2015): Geological Structural Mapping Using SAR Imagery
  • Ms. Mohini Kargaonkar (2013 – 2015): Hierarchical Classification for SAR Images.
  • Ms. Kratika Yadav (2013 – 2015): Ship Detection using SAR Data.
  • Ms. Shilpa Phukan (2012 – 2014): Understanding the Microstructure and Metamorphism Evaluation of Snow.
  • Ms. Swinky Dhingra (2011 – 2013): Chandrayaan-1 Mini-SAR Data Analysis for Water-Ice Detection at Lunar Poles.
  • Mr. Arnab Muhuri (2010 – 2012): Statistical Modeling of Multi-Band Polarimetric Synthetic Aperture Radar Image.