CE

Dr. Akshar Tripathi

Dr. Akshar Tripathi
Assistant Professor

Ph.D, IIT Ropar
Ph: +91-6115-233 179
akshar[*AT]iitp.ac.in
https://scholar.google.com/citations?user=JQQshjMAAAAJ&hl=en
Research Areas

  • Geoinformatics, Remote Sensing and GIS, Synthetic Aperture RADAR (SAR) Remote sensing, Multi-sensor Data Fusion, Image processing, Deep Learning algorithms
Other Interests

  • Remote sensing applications for- Flood mapping and modelling, Agriculture, Crop yield forecast modelling, SAR Interferometry, PSInSAR
Courses taught at IIT P

  • Engineering Drawing Surveying 1 & 2 Remote Sensing and GIS Digital Image Processing
Professional Experience

  • SL.No. Organisation Designation From To 1. IIT Patna Assistant Professor 27/10/2022 Present 2. Faculty of Life Sciences, Tel Aviv University (TAU), Tel Aviv, Israel Post-Doctoral Fellow 22/09/2022 25/10/2022 3. National Center for Geodesy (NCG), IIT Kanpur Post-Doctoral Research Associate 26/06/2022 20/09/2022 4. Acharya Narendra Deva University of Agriculture and Technology, Ayodhya Assistant Professor 08/10/2021 30/04/2022 5. Uttar Pradesh Remote Sensing Applications Center, RSAC-UP, Lucknow Project Scientist 06/07/2021 07/10/2021
Awards & Honours

  • Best Paper Award at IEEE - International Conference on Electronic and Communication Engineering (ICECE), January 2019, Techno India University, Kolkata. Most Memorable Presentation Award, at 1st International Conference on Urban and Regional Planning, October 2019, Dhaka, Bangladesh. Best Presentation award on World Ozone Day, September 2020, Punjab Remote Sensing Center (PRSC) Ludhiana. Research Excellence award at 1st IEEE-MAESM, May 2021, AKTU Lucknow. Young Scientist Award in Remote Sensing Category for 2021 by Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow.
Member of Professional bodies

  • IEEE Geoscience and Remote Sensing Society (GRSS) International Society for Photogrammetry and Remote Sensing (ISPRS) Indian Society of Remote Sensing (ISRS) American Society of Civil Engineers Indian Concrete Institute (ICI) Optics Society of America (OSA)
Books
    1. Tripathi, A., & Tiwari, R. K. (2021). Role of Space-Borne Remote Sensing Technology for Monitoring of Urban and Environmental Hazards. In Recent Technologies for Disaster Management and Risk Reduction (pp. 295-317). Springer, Cham. https://doi.org/10.1007/978-3- 030-76116-5_18, Print ISBN978-3-030-76115-8
    2. Tripathi, A., Maithani, S., & Kumar., S.K. (2022). Improved Data Fusion based Land use/Land cover Classification using PolSAR and optical remotely sensed satellite data- A Machine Learning approach. In Spaceborne Synthetic Aperture Radar Remote Sensing Techniques and Applications. Taylor and Francis. ISBN 9781032069050
Publications / Journals

  • International Refereed Journals:

    1. Tripathi, A., & Tiwari, R. K. (2020). Synergetic utilisation of sentinel-1 SAR and sentinel-2 optical remote sensing data for surface soil moisture estimation for Rupnagar, Punjab, India.   Geocarto International, 1-22. https://doi.org/10.1080/10106049.2020.1815865
    2. Tripathi, A., Attri, L., & Tiwari, R. K. (2021). Spaceborne C-band SAR remote sensing– based flood mapping and runoff estimation for 2019 flood scenario in Rupnagar, Punjab, India. Environmental Monitoring and Assessment, 193(3), 1-16. https://doi.org/10.1007/s10661-021-08902-9
    3. Tripathi, A., & Tiwari, R.K. (2021). A Simplified Sub-Surface Soil Salinity estimation using Synergy of Sentinel-1 SAR and Sentinel-2 multispectral satellite data, for early stages of wheat crop growth in Rupnagar, Punjab, India. Land Degradation and Development, 32(14), 3905-3919. https://doi.org/10.1002/ldr.4009
    4. Tripathi, A., & Tiwari, R.K. (2021). Utilisation of Spaceborne C-band dual Pol Sentinel- 1SAR data for simplified Regression-based Soil Organic Carbon Estimation in Rupnagar, Punjab, India. Advances in Space Research. https://doi.org/10.1016/j.asr.2021.08.007
    5. Aziz, M.A., Moniruzzaman, M., Tripathi, A. et al. Delineating Flood Zones upon Employing Synthetic Aperture Data for the 2020 Flood in Bangladesh. Earth Systems and Environment (2022). https://doi.org/10.1007/s41748-022-00295-0
    6. Tripathi, A., Tiwari, R. K., & Tiwari, S. P. (2022). A deep learning multi-layer perceptron and remote sensing approach for soil health-based crop yield estimation. International Journal of Applied Earth Observation and Geoinformation, 113, 102959. https://doi.org/10.1016/j.jag.2022.102959
    7. Reshi, A. R., Moniruzzaman, M., Tripathi, A., Tiwari, R. K., & Rahaman, K. R. (2022). A Remote Sensing based study of Tropospheric Ozone Concentration amid COVID-19 Lockdown over India using Sentinel-5P Satellite Data. Geocarto International, (just accepted), 1-20. https://doi.org/10.1080/10106049.2022.2123957   
    8. Tripathi, A., Reshi, A.R., Moniruzzaman, M., Tiwari, R.K., Rahaman, K.R.R., & Malik, K., (2022). Interoperability of C‑band Sentinel‑1 SAR and GRACE satellite sensors on PSInSAR‑based urban surface subsidence mapping of Varanasi, India. IEEE Sensors. http://dx.doi.org/10.1109/JSEN.2022.3208117
    9. Moniruzzaman, M., Uddin, M.S., Akhter, M.A.E., Tripathi, A., & Rahaman, K.R.R., (2022). Application of geospatial techniques in evaluating spatial variability of commercially harvested mangoes in Bangladesh. Sustainability. http://dx.doi.org/10.3390/su142013495
    10. Reshi, A.R., Sandhu, H.A.S., Cherubini, C., Tripathi, A., (2022). Estimating land subsidence and gravimetric anomaly induced by aquifer overexploitation in the Chandigarh tri-city region, India by coupling remote sensing with a deep learning neural network model. Water. Just Accepted.
Presentations

  • Tripathi, A., & Tiwari, R.K. (2019).C-band SAR Interferometry based flood inundation mapping for Gorakhpur and adjoining areas. IEEE XPLORE. https://doi.org/10.1109/ICCECE44727.2019.9001870 Tripathi, A., & Tiwari, R. K. (2019). Utilisation of spaceborne C-band SAR data for analysis of flood impact on agriculture and its management. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42(3/W6). https://doi.org/10.5194/isprs-archives-XLII-3-W6-521-2019 Tripathi, A., & Tiwari, R. K. (2019). Spaceborne C-Band DInSAR based Urban Subsidence mapping of Chandigarh area. 1st ICURP, Dhaka, Bangladesh. ISBN: 978- 984-34- 7970-9, http://bip.org.bd/SharingFiles/journal_book/upload_content/201912270424103.pdf?fb clid=IwAR2ovsWA20JD8FrMs8zOkJPo4V_OQQ0gWJvvDT4ty4I- du78at9OmP7mS1I Tripathi, A., & Tiwari, R. K. (2019). Mapping of deflection caused due to hydrostatic pressure using Differential SAR Interferometry (DInSAR) on Bhakhra dam. In 2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON) (pp.1-5). IEEE XPLORE. https://doi.org/10.1109/UPCON47278.2019.8980117 Tiwari, R.,K., & Tripathi, A. (2020). An Unsupervised Soil Moisture Estimation Modelling Approach Using C-Band Dual PolSAR Data. In EGU General Assembly Conference Abstracts (p. 12870). https://doi.org/10.5194/egusphere-egu2020-12870 Tripathi, A., & Tiwari, R. K. (2021). C-band Spaceborne SAR Remote Sensing based Glacial Displacement Mapping for 2021 Joshimath Flood scenario. 1st International Conference on Modern Approaches in Engineering, Science and Management (MAESM-2021). Tripathi, A., & Kumar, S., (2017). ‘SAR interferometry-based displacement mapping of cultural heritage sites’, at 38th Asian Conference on Remote Sensing, 23rd -27th October 2017, New Delhi. Tripathi A., Kumar, S., & Maithani, S., (2018). ‘Spaceborne Bistatic Polarimetric SAR for Scattering Analysis and Classification of Man- made and Natural Features’3rd International Conference on Microwave and Photonics,At: IIT (ISM) Dhanbad, India, 9 th - 11th February, 2018, DOI: https://doi.org/10.1109/ICMAP.2018.8354494 Tripathi, A., Maithani, S., & Kumar, S., (2018). ‘Minimization of the Ambiguity of Merging of Urban Builtup and Fallow Land Features by Generating ‘C2’ Covariance Matrix using Spaceborne Bistatic Dual Pol SAR Data’. 4th IEEE International Conference on Recent Advances In Information Technology Indian Institute of Technology (ISM), 15th - 17th March'18 | Dhanbad, INDIA At: IIT (ISM) Dhanbad, DOI: https://doi.org/10.1109/RAIT.2018.8389058 Tripathi, A., Maithani, S., & Kumar, S., (2018). ‘X-band persistent SAR interferometry for surface subsidence detection in Rudrapur City, India’. Remote Sensing Technologies and Applications in Urban Environments, SPIE-DLR Symposia, 6 th-9th September 2018, Berlin, Germany, DOI: https://doi.org/10.1117/12.2326267 Tripathi, A., Kumar, S., (2018). ‘Effect of Phase Filtering on Interferometry based Displacement Analysis of Cultural Heritage Sites’. 4 th IEEE UPCON, Gorakhpur, 2nd -4th November 2018, DOI: https://doi.org/10.1109/UPCON.2018.8597027.
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