Narendra Das

简介

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

教育经历

• 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

代表成果

• 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).