Abhinav Verma
Indian Institute of Technology Bombay, Indian Institute of Remote Sensing, Central University of Jharkhand
About
My research aims to advance and apply radar remote sensing datasets for land cover applications.
I am particularly interested in developing new dual- and compact-polarimetric Synthetic Aperture Radar (SAR) data methodologies useful in land cover characterization. The availability of the multi-frequency dual- and compact polarimetric SAR data with the recent and upcoming Earth observation missions excite me in their optimal utilization for numerous applications.
Recently, I proposed the first built-up area index for the dual-polarimetric SAR data (DpRBI). It can be used for rapid built-up area mapping and has global applicability. I believe that the straightforward approach to mapping built-up area provides an opportunity for a worldwide built-up area product that can be frequently updated for several applications. Further, I extended the concept of Polarimetric Signature to dual- and compact-polarimetric SAR data. A polarimetric signature is a beneficial tool for the improved characterization of diverse land covers. Similarly, the dual- and compact-pol signature is helpful in enhanced attribution of various human-made and natural radar targets.
I look forward to enriching my knowledge of geoinformatics, specifically radar remote sensing and its applications. Moreover, I want to employ my expertise and understanding of the subject for the amelioration of society.
Employment
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Indian Institute of Technology Bombay Ph. D. Student2021 - Present
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Indian Institute of Technology Bombay Junior Research Fellow2020 - 2021
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Indian Institute of Remote Sensing Junior Research Fellow (JRF)2018 - 2020
Education
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Central University of Jharkhand Integrated M.Tech2013 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- Crop Classification Using Dual-Pol Scattering Powers From Simulated NISAR L-Band SAR Data Save
- Cluster Zone-Based Extended Scattering Power Components for Dual-Pol SAR Data Save
- A Dual-Pol SAR-Based Index for Rice Transplantation Detection Save
- An Unsupervised Clustering Technique for Dual-Pol Sentinel-1 SLC and GRD SAR Data Save
- Bloch Sphere Representation of Polarimetric SAR Targets Save
- Joint Analysis of Optical and SAR Vegetation Indices for Vineyard Monitoring: Assessing Biomass Dynamics and Phenological Stages Over Po Valley, Italy Save
- Scattering power components from dual-pol Sentinel-1 SLC and GRD SAR data Save
- An Alternate Scattering-Type Parameter for Target Characterization and Classification Save
- Compact-Polarimetric SAR Signature Analysis for Wetland Characterization Using RADARSAT Constellation Mission Save
- Enhanced Crop Discrimination and Monitoring Using Compact-Polarimetric SAR Signature Analysis From RADARSAT Constellation Mission Save