Remote Sensing in Hydrology and Agriculture Laboratory at Michigan State University

Who We Are?

The Remote Sensing in Hydrology and Agriculture Laboratory at Michigan State University (MSU) carries out research on a wide spectrum of topics related to use of remote sensing observations in agriculture and hydrology, algorithm developments to obtain high-resolution soil moisture from active and passive microwave observations, and hydrological and crop modeling for societal benefits

Research Areas

Remote Sensing

We study microwave remote sensing active and passive observations to estimate high-resolution soil moisture and monitor vegetation  and crop biophysical parameters.

Modelling

We develop and implement physically-based hydrological and crop models to nowcast and forecast the drought (status, onset, and recovery) and crop yield important to study resiliency, sustainability and intensification.

Applications

Develop real-life geophysical applications for societal benefits that makes impact on grass-root levels, such as farmers

   RsHydroAg Research Team

           Director

Dr. Narendra N. Das

Associate Professor 

        Researchers

Dr. Gurjeet Singh

Research Associate 

Preet Lal

Graduate Student

Vikas Kumar Rai

Graduate Student

Arunav Nanda

Graduate Student

Mahya Hashemi

Graduate Student

Siddhesh S. Mane

Graduate Student

        Former Researchers

Dr. Ehsan Jalivand

Research Associate 

Abhijeet Abhishek

Graduate Student

Projects

Multiscale Fusion Algorithm and Validation of High-Resolution Soil Moisture for the NISAR mission

NASA NISAR Mission Project: PI: Dr. Narendra Das, CO-PI: Dr. Gurjeet Singh

Duration: 2024-2025

Drought Monitoring and Forecasting over USAID #22 Priority Countries

Sustainable Intensification Innovation Lab, Kansas State University and USAID ( a Service Project )

Service Providers: Dr. Narendra Das and Dr. Gurjeet Singh

Duration: 2023-2024

Research and Extension Experience for Undergraduates on Remote Sensing SAR Data for Agricultural Applications

USDA NIFA Project: Principal Director: Dr. Narendra Das

Duration: 2023-2028

High Resolution Soil Moisture Algorithm Using Synergy of Microwave Active and Passive Observations for NISAR Mission

NASA NISAR Mission Project: PI and Science Team Member: Dr. Narendra Das

Duration: 2019-2024

Enhancement of the RHEAS Capabilities for Monitoring and Forecasting of Seasonal Rice Crop Productivity for the Lower Mekong Basin

NASA SERVIR Project: PI and Applied Science Team Member: Dr. Narendra Das

Duration: 2019-2022

Development, Testing & Implementation of Low Cost and Effective In Situ Soil Moisture Sensor for Citizen Science 

NASA Citizen Science Project: PI : Dr. Narendra Das

Duration: 2018-2021

Enhancement of SMAP High Resolution Soil Moisture Data using NISAR and its Agricultural Application 

NASA SMAP Mission Project: PI and Science Team Member: Dr. Narendra Das

Duration: 2020-2023

Enhancement of High-Resolution Soil Moisture Algorithm and Product for the Arctic Region Using the Multi-Sensor Data Fusion Approach

NASA Terrestrial Hydrology Program (THP): PI : Dr. Narendra Das

Duration: 2021-2024

Recent Publications

Advancements in dielectric soil moisture sensor Calibration: A comprehensive review of methods and techniques

S. Mane, N.N. Das, G. Singh, M. Cosh, Y. Dong

Computer & Electronic in Agriculture, 2024

Evaluation of a regional crop model implementation for sub-national yield assessments in Kenya

W.L. Ellenburg, S. E. Miller, V. Mishra, L. Ndungu, E. Adams, N. Das., K. M. Andreadis, A. Limaye

Agricultural Systems, 2024

Impact of SAR-based vegetation attributes on the SMAP high-resolution soil moisture product 

G Singh, NN Das, A Colliander, D Entekhabi, S Yueh

Remote Sensing of Environment, 2023

Dryspells and Minimum Air Temperatures Influence Rice Yields and their Forecast Uncertainties in Rainfed Systems 

A Abhishek, M.S. Phanikumar, A. Sendrowski, K.M. Andreadis, M.G.Z Hashemi, S. Jayasinghe, P.V.V. Prasad, R. J Brent, NN Das 

Agricultural and Forest Meteorology, 2023

Multi-Scale algorithm for the NISAR mission high-resolution soil moisture product 

P Lal , G Singh, N N Das, D Entekhabi, R Lohman, A Colliander, D K Pandey, R K Setia 

Remote Sensing of Environment, 2023

Is it Possible to Quantify Irrigation Water-Use by Assimilating a High-Resolution Satellite Soil Moisture Product? 

 E Jalilvand, R. Abolafia-Rosenzweig, M Tajrishy, S. V. Kumar, M. R. Mohammadi, N. N. Das 

Water Resources Research, 2023

Spatiotemporal evolution of global long-term patterns of soil moisture 

P Lal, A Shekhar, M Gharun, NN Das 

Science of The Total Environment, 2023

Assessment of ERA5-Land Volumetric Soil Water Layer Product Using In Situ and SMAP Soil Moisture Observations

P Lal, G Singh, NN Das, A Colliander, D Entekhabi

IEEE Geoscience and Remote Sensing Letters, 2022

A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions

G Singh, NN Das

Science of The Total Environment, 2022

Assessing the impact of Sentinel-1 derived planting dates on rice crop yield modeling

MGZ Hashemi, A Abhishek, E Jalilvand, S Jayasinghe, KM Andreadis, P Siqueira, NN Das

International Journal of Applied Earth Observation and Geoinformation, 2022

Soil moisture retrieval using SMAP L-band radiometer and RISAT-1 C-band SAR data in the paddy dominated tropical region of India

G Singh, NN Das, RK Panda, BP Mohanty, D Entekhabi, BK Bhattacharya

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2021

Evaluation of SMAP/Sentinel 1 High-resolution soil moisture data to detect irrigation over agricultural domain

E Jalilvand, R. Abolafia-Rosenzweig, M Tajrishy, N. N. Das 

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2021

Evaluating the impacts of drought on rice productivity over Cambodia in the Lower Mekong Basin 

A Abhishek, NN Das, AVM Ines, KM Andreadis, S Jayasinghe, S Granger 

Journal of Hydrology, Elsevier, 2021

The SMAP and Copernicus Sentinel microwave active-passive high resolution surface soil moisture product 

NN Das, D Entekhabi, RS Dunbar, MJ Chaubell, A Colliander, S Yueh, et al.,  

Remote Sensing of Environment, 2019

Validation of SMAP soil moisture products using ground-based observations for the paddy dominated tropical region of India 

G Singh, NN Das, RK Panda, A Colliander, TJ Jackson, BP Mohanty, D Entekhabi, S Yueh

IEEE Transactions on Geoscience and Remote Sensing, 2019

The SMAP mission combined active-passive soil moisture product at 9 km  and 3 km spatial resolutions

NN Das, D Entekhabi, RS Dunbar, A Colliander, F Chen, W Crow, et al.,  

Remote Sensing of Environment, 2018


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Openings

Highly-motivated students looking for a Ph.D. position in the area of hydrological science, remote sensing, hydrological & crop modeling are encouraged to contact us for potential openings and opportunities. The RsHydroAg group is NOT seeking postdoctoral researchers now. However, highly-motivated candidates may contact us with a comprehensive curriculum vitae and a brief research proposal. For specific opening details, visit here. 

Contact

Dr. Narendra Das

Room 223, Farrall Agricultural Engineering Hall

524 S. Shaw Lane, East Lansing, MI 48824

Office: (517) 432-1257

dasnaren@msu.edu 

Research Lab

Room 124, Farrall Agricultural Engineering Hall

524 S. Shaw Lane, East Lansing, MI 48824

rshydro.lab@gmail.com

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