NASA Logo Jet Propulsion Laboratory California Institute of Technology View the NASA Portal
NASA Banner
NASA Banner
NASA Banner
NASA Banner
JPL Science
JPL Science Division Home
Planetary Science Planetary Science
Astrophysics & Space Sciences Astrophysics & Space Sciences
Earth Science Earth Science
Center for Climate Sciences (3292)
Earth Surface And Interior (329A)
Ocean Circulation And Air Sea Interaction (329B)
Sea Level And Ice (329C)
Stratosphere And Upper Troposphere (329D)
Atmospheric Physics And Weather (329E)
Terrestrial Hydrology (329F)
Carbon Cycle And Ecosystems (329G)
Laboratory Studies And Atmospheric Observations (329H)
Tropospheric Composition (329I)
Aerosols And Clouds (329J)
Directorate Science Affiliates Directorate Science Affiliates
Open Postdoc Positions Open Postdoc Positions
Brochures Brochures
 Terrestrial Hydrology (329F): People
Narendra  Das's Picture
Jet Propulsion Laboratory
M/S 300-323
4800 Oak Grove Drive
Pasadena, CA 91109
818 354-5506
818 393-6720
Email Contact:

Narendra Das

  • Ph.D., Biological and Agricultural Engineering (Focus: Hydrology and Remote Sensing), Texas A&M University, College Station, TX, (2008).
  • M.S., Biological and Agricultural Engineering (Focus: Hydrology and Remote Sensing), Texas A&M University, College Station, TX, (2005).
  • Bachelor of Chemical Engineering, National Institute of Technology, Raipur, India (Formerly Govt. Engineering College, Raipur), (1994).

Professional Experience
  • Jet Propulsion Lab (NASA), California Institute of Technology, California, (2007 - present)
    • Research Scientist, Water and Carbon Cycle Group, (Jul 2010 - present)
    • Postdoc, Water and Carbon Cycle Group, (2008 - Jul 2010)
    • Graduate Internship, Water and Carbon Cycle Group, (2007)
  • Manager (EDP&IT), Bhilai Steel Plant, Steel Authority of India Limited, (1999 - 2002)
  • Assistant Manager (EDP&IT), Bhilai Steel Plant, Steel Authority of India Limited, (1995 - 1998)

Selected Awards
  • NASA Group Achievement Award, SMAPVEX12 Field Campaign Team (2013)
  • Outstanding Student Paper Award for presentation at the Fall Meeting in San Francisco, (2008)
  • Recipient of "Association of Former Students Distinguished Graduate Student Research Award" in the Texas A&M University, (2005)
  • Recipient of "Bill, A. and Rita L. Stout, International Graduate Student Achievement Award" in the Biological and Agricultural Engineering Department, Texas A&M University, (2004)
  • Recipient of "Nehru Award for Excellence in Productivity" EDP&IT, Bhilai Steel Plant, Steel Authority of India Ltd, (2001)
  • Secured Merit position in Chemical Engineering, National Institute of Technology, Raipur, India, (1994)

Selected Publications
  1. Das N. N., Andreadis K., Ines A., Granger S., Nogudu L., and Macharia D., Modeling of Maize Crop Yield for Ethiopia, Kenya and Tanzania using the RHEAS. Field Crop Research, Under Review.
  2. Rajasekharan, E., Das N. N., Poulsen C., Behrangi A., Swigart J., Svoboda M., Entekhabi D. and Yueh S., SMAP Soil Moisture Change as Indicator of Drought Conditions. Remote Sensing, Under Review.
  3. Singh G., Das N. N., Panda R. K., Colliander A., Entekhabi D., Yueh S., and Jackson T., Validation of Enhanced SMAP Product using Ground-based Observations Over the Paddy Agriculture Dominated Region of India. IEEE - TGARS, Under Review.
  4. Das, N. N., D. Entekhabi, R. S. Dunbar, S. Yueh, et al., 2018. The SMAP Mission Combined Active-Passive Soil Moisture Product at 9 km and 3 km Spatial Resolution. Remote Sensing of Environment. Accepted, In Press.
  5. Andreadis K., Das N. N., Ines A., and Granger S., 2017. The Regional Hydrologic Extremes Assessment System: A Software Framework for Hydrologic Modeling and Data Assimilation. PONE-D-17-06250R1.
  6. Jagdhuber, T., Konings, A.G., McColl, K.A., Alemohammad, S.H., Das, N. N., Montzka, C., Link, M., Akbar, R., & Entekhabi, D., 2017. Physics-Based Modeling of Active and Passive Microwave Covariations Over Vegetated Surfaces. IEEE - TGARS, In Press.
  7. Konings, A.G., Piles M., Das N. N., and Entekhabi D. 2017. L-band vegetation optical depth and effective scattering albedo estimation from SMAP. Remote Sensing of Environment, 198:460-470.
  8. Akbar, R., Das N. N., Entekhabi D., and Moghaddam M., Active and Passive Microwave Remote Sensing Synergy for Soil Moisture Estimation - Satellite Soil Moisture Retrieval, 2016.
  9. Leroux, D., Das N. N., D. Entekhabi, A. Colliander, E. G. Njoku, T. J. Jackson, and S. Yueh, 2016. Active-pasive soil moisture retrievals during the SMAP Validation Experiment 2012 (SMAPVEX12). IEEE- GRSL, Vol. 13, Issue-4, 475-479.
  10. Leroux, D., Das N. N., D. Entekhabi, A. Colliander, E. G. Njoku, S. Dunbar, and S. Yueh, 2016. Active-passive disaggregation of brightness temperatures during the SMAPVEX12 campaign. (SMAPVEX12). IEEE- TGARS, 54, 12, 6859-6867.
  11. Das, N. N., D. Entekhabi, S. Dunbar, E. G. Njoku, and S. Yueh, 2016. Uncertainty Estimates in the SMAP Combined Active-Passive Downscaled Brightness Temperature. IEEE- TGARS. 54, 640-650.
  12. Piles M., McColl K. A., Entekhabi D., Das N. N., Pabalos M., 2017. Sensitivity of Aquarius Active Passive Measurements Temporal Covariability to Land Surface Characteristics. IEEE-TGARS, 53, 8, 4700-4711.
  13. Das, N. N., D. Entekhabi, and E. Njoku, 2010. An algorithm for merging SMAP radiometer and radar data for high resolution soil moisture retrieval. IEEE-TGARS, DOI: 10.1109/TGRS.2010.2089526.
  14. Das, N. N., D. Entekhabi, and E. Njoku, J. Johnston, J. C. Shi, and A Colliander, 2013. Tests of the SMAP Combined Radar and Radiometer Algorithm Using Airborne Field Campaign Observations and Simulated Data. IEEE- TGARS. DOI: 10.1109/TGRS.2013.2257605.
  15. Colliander, A., S. Chan, S. Kim, N. N. Das, S. Yueh, M. Cosh, R. Bindlish, T. Jackson, and E. Njoku, 2012. Long-term Analysis of PALS Soil Moisture Campaign Measurements for Global Soil Moisture Algorithm Development, Remote Sensing of Environment, 121, 309-322.
  16. Das, N. N., A. Colliander, S. Chan, E. G. Njoku, and L. Li, 2013. Intercomparisons of brightness temperature observations over land from AMSR-E and WindSat. IEEE- TGARS. 52, 1, 452-464.
  17. Ines, A.V.M., Das, N. N., Hansen, J.W. and E. Njoku, 2013. On the assimilation of remotely sensed soil moisture and vegetation with crop simulation models. Remote Sensing of Environment. 138 (2013) 149-164.
  18. Wu, X., J. P. Walker, N. N. Das, R. Panciera, C. Rudiger, 2014. Evaluation of the SMAP brightness temperature downscaling algorithm using active-passive microwave observations. Remote Sensing of Environment. 155, 210-221.
  19. Behrangi, A., K. Andreadis, J. B. Fisher, N. N. Das. 2014. Satellite-Based Precipitation Estimation and Its Application for Streamflow Prediction over Mountainous Western U.S. Basins. Journal of Applied Meteorology and Climatology. 53, 2823-2842.
  20. Mallick, K., E. Boegh, I. Trebs, J. G. Alfieri, W. P. Kustas, J. H. Prueger, D. Niyogi, N. N. Das, D. T. Drewry, L. Hoffmann, and A. J. Jarvis (2015), Reintroducing radiometric surface temperature into the Penman-Monteith formulation, Water Resource Res., 51, doi:10.1002/2014WR016106.
  21. Das, N. N., and B. P. Mohanty, 2006. Root zone soil moisture assessment using remote sensing and vadose zone modeling. Vadose Zone J., 5: 296-307.
  22. Zhu, J., B. P. Mohanty, and N. N. Das, 2006. Vadose Zone Journal. On the effective averaging scheme of the hydraulic properties at the landscape scale. Vadose Zone J., 5: 308-316.
  23. Das, N. N., and B. P. Mohanty, 2008. Modeling and assimilation of root zone soil moisture using remote sensing observation in Walnut Gulch watershed during SMEX04. Remote Sensing of Environment, 112: 415-429.
  24. Das, N. N., and B. P. Mohanty, 2008. Scaling Properties of PSR Based Soil Moisture Fields During SMEX02: A Wavelet Approach. Remote Sensing of Environment, 112: 522-534.
  25. Das, N. N., B. P. Mohanty, and E. Njoku, 2008. An MCMC Algorithm for Upscaled SVAT Modeling to Evaluate Satellite-based Measurements. Water Research Resources, 44, W05416, doi:10.1029/2007WR006472.
  26. Das, N. N., B. P. Mohanty, and Y. Efendiev, 2009. Characterization of saturated hydraulic conductivity in an agricultural field using Karhunen-Loeve expansion and MCMC. Water Research Resources, 46, W06521, doi:10.1029/2008WR007100.
  27. Das, N. N., B. P. Mohanty, and E. G. Njoku, Characterization of Backscatter by Surface Features in L-Band Active Microwave Remote Sensing of Soil Moisture, Geoscience and Remote Sensing Symposium (IGARSS) 2008, IEEE International, vol.2, pp.II-817-II-820, 7-11 July 2008, doi:10.1109/IGARSS.2008.4779119.
  28. Das, N. N., B. P. Mohanty, and E. Njoku, 2009. Profile soil moisture across spatial scales under different hydrologic conditions. Soil Science, 175 (7), 315-319, doi:10.1097/SS.0b013e3181e83dd3.

Group Home Page
People in this Group
Group Projects

JPL Privacy Statement Sitemap Contact Site Manager