Dr. Unmesh Khati

Unmesh Khati is a remote sensing scientist with experience in the development, assessment, and deployment of algorithms for the generation of regional to global land products primarily using polarimetric backscatter and interferometric SAR time-series. Unmesh received his Ph.D. in radar remote sensing from the Indian Institute of Technology Bombay, India in 2019. Since October 2019, he is working as a JPL Postdoctoral Fellow in the Radar Science and Engineering Section with Marco Lavalle on estimating and mapping land cover changes and other bio-physical variables (e.g., above-ground biomass) in preparation for the NISAR mission. He has extensive experience in developing workflows using spaceborne and airborne SAR data (e.g., Sentinel-1, Tandem-X, ALOS-1/2, Radarsat-1/2, UAVSAR), optical data including lidar, ground instrumentation data, and global ancillary products (e.g., soil moisture and precipitation).


Ph.D. in Radar Remote Sensing, IIT Bombay, India, October 2019

Master of Technology in Remote Sensing and GIS, Indian Institute of Remote Sensing, Dehradun, India, July 2014

Bachelor of Electronics Engineering, Nagpur University, India, June 2011

Research Interests: 
  •  Algorithm development and assessment 
  •  Radar Interferometry and Polarimetry
  •  Subsidence and deformation mapping
  •  Land cover change detection
  •  Physical and statistical modelling
  •  Multi-dimensional SAR processing
  •  Machine learning
  •  Data fusion
  •  Lidar remote sensing  

Professional Experience: 

Jet Propulsion Laboratory, Postdoctoral Fellow, October 2019 – present

Jet Propulsion Laboratory, Fulbright-Nehru Doctoral Research Fellow, September 2017 – June 2018

IETR, University of Rennes 1, France, Raman-Charpak Doctoral Research Fellow, January 2016 – June 2016

Indian Institute of Technology Bombay, India, Institute Teaching Assistant, July 2014 – July 2019

Selected Awards: 
  • Fulbright-Nehru Doctoral Research Fellowship 2017-2018, as visiting researcher at Jet Propulsion Laboratory, California Institute of Technology, USA for 9 months.
  • Dr. Benjamin L. Van Duuren Travel Grant, International Institute of Education, USA, 2017
  • Raman-Charpak fellowship 2015-2016 as a visiting researcher at I.E.T.R, University of Rennes 1, France for 5 months (January 2016 – June 2016)
  • Best Paper Presentation at the International Conference on Microwaves, Antenna Propagation and Remote Sensing, Jodhpur, India, 2013

Selected Publications: 
  1. U. Khati, M. Lavalle. G.H.X. Shiroma, V. Meyer and B. Chapman, “Assessment of Forest Biomass Estimation from Dry and Wet SAR Acquisitions Collected during the 2019 UAVSAR AM-PM Campaign in Southeastern United States”, Remote Sensing, 12 (20), 3397, October 2020
  2. S. Mohanty, U. Khati, G. Singh and E. Chandrasekhar, “Correction of amplitude scintillation effect in fully polarimetric SAR coherency matrix data”, ISPRS Journal of Photogrammetry and Remote Sensing, vol 164, pp. 184-199, May 2020
  3. U. Khati, M. Lavalle, G. Singh, “Spaceborne Tomography of Multi-Species Indian Tropical Forests”, Remote Sensing of Environment, vol. 229, pp 193-212, August 2019
  4. U. Khati, G Singh, S Kumar, “Potential of space-borne PolInSAR for forest canopy height estimation over India: A case study using fully polarimetric L-, C-, X-band SAR data”, IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing 11(7), pp 2406-2416, July 2018
  5. U. Khati, V Kumar, D Bandyopadhyay, M. Musthafa, G Singh, “Identification of forest cutting in managed forest of Haldwani, India using ALOS-2/PALSAR-2 SAR data”, Journal of Environmental Management, vol. 213, pp 503-512, May 2018
  6. U. Khati, G Singh, and L Ferro-Famil, “Analysis of seasonal effects on forest parameter estimation of Indian deciduous forest using TerraSAR-X PolInSAR acquisitions,” Remote Sensing of Environment, vol. 199, pp. 265–276, Sep. 2017.
  7. S Kumar, U Khati, S Chandola, S Agrawal, S P.S. Kushwaha, “Polarimetric SAR Interferometry based modeling for tree height and aboveground biomass retrieval in a tropical deciduous forest”, Advances in Space Research, Volume 60, Issue 3, Aug, 2017, pp 571-586
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