Narendra Das
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Associate Professor
Biography
Dr. Narendra N. Das is an Associate Professor with joint appointments in the Departments of Biosystems and Agricultural Engineering and Civil and Environmental Engineering. His research focuses on hydrology, microwave remote sensing, and crop modeling. Dr. Das leads the Remote Sensing for Agriculture and Hydrology Lab (RSHAL), where he collaborates with NASA satellite missions, a continuation of projects initiated during his tenure at NASA's Jet Propulsion Laboratory. Dr. Das is a Science Team Member of both the NASA Soil Moisture Active and Passive (SMAP) mission and the NASA ISRO SAR (NISAR) mission. In the latter role, he is responsible for producing very high-resolution global soil moisture data products. Additionally, he serves as a principal investigator (PI) for the Applied Science NASA SERVIR Program, which implements a Drought and Crop Forecast System for the East Africa region and Lower Mekong Basin countries. He is also a PI for the NASA Terrestrial Hydrology Program.
Education
- Ph.D., Biological and Agricultural Engineering, Texas A&M University
- M.S., Biological and Agricultural Engineering, Texas A&M University
- B.E., Chemical Engineering, National Institute of Technology, Raipur
Selected Publications
- Nanda, A.1, Das N. N.3, Singh G., Bindlish R., Andreadis K., and Jayasinghe S., (2024). Harnessing SMAP Satellite Soil Moisture Product to Optimize Soil Properties to Improve Water Resource Management for Agriculture. Agriculture Water Management. vol. 300, 108918. (DOI: https://doi.org/10.1016/j.agwat.2024.108918)
- Lal, P.1, Singh G., Colliander A., Entekhabi D., and Das N. N.3, (2024). Uncertainty Estimates in the NISAR High-Resolution Soil Moisture Retrievals from Multi-Scale Algorithm. Remote Sensing of Environment (in Press).
- Hashemi M G.Z1, Tan P. Tan, Jalilvand E., Wilke B., Alemohammad H., and Das N. N.3, (2023). Synthetic Aperture Radar (SAR); Deep Learning; Crop Yield Prediction; XGBoost; 3D-CNNs. Submitted to Computers and Electronics in Agriculture (under review).
- Hashemi M G.Z1, Tan P. Tan, Jalilvand E., Wilke B., Alemohammad H., and Das N. N.3, (2023). A Systematic Review of Synthetic Aperture Radar and Deep Learning in Agricultural Applications. Submitted to International Society for Photogrammetry and Remote Sensing (under review).
- Mane S.1, Singh G., Das N. N.3,, Kanungo A., Nagpal N., Cosh M. H., Dong Y., (2023). Development of Low-Cost Handheld Soil Moisture Sensor for Farmers and Citizen Scientists. Submitted to Computers and Electronics in Agriculture (Under Review).
MSU Scholar
Google Scholar
Awards
- MSU 2022, MTRAC AgBio Innovation Challenge award to create a Low-Cost Gas Sensor for Agricultural Applications and Climate Change Studies
- JPL Voyager Award 2020 for high impact work on hydrological extreme forecasting
- NASA Achievement Award for 2019 for exceptional service toward the NASA SMAP mission
- NASA Group Achievement Award 2017 to SMAP Science and Cal/Val Team for contribution towards SMAP Algorithm and Calibration and Validation activities
- Interagency Partnership Award 2016 from Federal Laboratory consortium for technology transfer
- NASA Group Achievement Award to GO Team for sustained excellence in expanding citizen science among students
- JPL Team Award 2016 in recognition of contribution to SMAP mission Algorithm and Science Data System
- JPL Team Award 2014 in recognition of contribution to SMAP mission Algorithm and Science Data System
- JPL Team Award 2013 in recognition of contribution to SMAP mission Cal/Val Planning Team
- JPL Team Award 2012 in recognition of contribution to SMAP mission successful NASA Algorithm Review and algorithm code delivery to JPL Science Data System
- NASA Group Achievement Award for successful pre-launch NASA SMAPVEX12 field campaign for the SMAP mission
- JPL Team Award 2012 for important contribution to the NASA SMAPVEX12 field campaign