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. 

 Director

  Researchers

        Ph.D. and Master Students

        Alumni

Recent Publications

Development of Low-Cost Handheld Soil Moisture Sensor for Farmers and Citizen Scientists

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

Frontiers in Environmental Science, Sec. Environmental Citizen Science, 2025

Geospatial monitoring and analysis of agricultural drought to identify hotspots and risk assessment for Senegal

G Singh, N N Das, P V V Prasad

Geography and Sustainability, 2024

Uncertainty estimates in the NISAR high-resolution soil moisture retrievals from multi-scale algorithm

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

Remote Sensing of Environment, 2024

Harnessing SMAP satellite soil moisture product to optimize soil properties to improve water resource management for agriculture

A Nanda, N N Das, G Singh, R Bindlish, K M Andreadis, S Jayasinghe

Agricultural Water Management, 2024

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 products 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

SEE ALL PUBLICATIONS

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.