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Dr. Vaibhav Katiyar

Position
Visiting Faculty
Unit
Faculty of Climate Change and Sustainability
Contact Info
[email protected]
Download full CV
Qualification
Areas of Expertise
Selected Publications
  1. Doctor of Engineering, Environment Engineering at Yamaguchi University, Japan, September 2021
  2. Postgraduate Diploma, Urban Planning and Development, from Indira Gandhi National Open University (IGNOU), India, June 2018
  3. Master of Engineering, Remote Sensing & GIS at Asian Institute of Technology, Thailand, June 2012
  4. Bachelor of Technology, Information Technology from UIET CSJM University, India, May 2009
  • Remote Sensing & Earth Observation
  • Deep Learning for Satellite Image Analysis
  • Optical & SAR Data Processing
  • Satellite Calibration & Harmonization
  • Multi-Sensor Data Fusion (Optical–SAR–UAV)
  • Disaster Monitoring & Rapid Damage Assessment
  1. 1) Iman bin Hussain, M.D., Katiyar, V., Nagai, M., & Ichikawa, D. (2025). Enhancing Satellite Image Coregistration Using Mirror Array as Artificial Point Source for Multisource Image Harmonization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 16983-16996. https://doi.org/10.1109/JSTARS.2025.3582238
  2. Jargalsaikhan, M., Nagai, M., Tumendemberel, B., Dashdondog, E., Katiyar, V., & Ichikawa, D. (2025). Adapting the High-Resolution PlanetScope Biomass Model to Low-Resolution VIIRS Imagery Using Spectral Harmonization: A Case of Grassland Monitoring in Mongolia. Remote Sensing
  3. Katiyar, V., Tamkuan, N., Ichikawa, D., & Nagai, M. (2023). A Transfer Learning Approach for Disasters Such as Flood Monitoring with Various SAR Satellites Data. Journal of Evolving Space Activities, 1, 74. https://doi.org/10.57350/jesa.71
  4. Xiao, J., Aggarwal, A.K., Rage, U.K., Katiyar, V., & Avtar, R. (2023). Deep Learning-Based Spatiotemporal Fusion of Unmanned Aerial Vehicle and Satellite Reflectance Images for Crop Monitoring. IEEE Access, vol. 11, pp. 85600-85614, 2023, doi: 10.1109/ACCESS.2023.3297513
  5. Katiyar, V., Tamkuan, N., Nagai, M (2021). Near-Real-Time Flood Mapping Using Off-the-Shelf Models with SAR Imagery and Deep Learning. Remote Sens. 2021, 13, 2334. https://doi.org/10.3390/rs13122334