Sumanta Chatterjee, Ph.D. Postdoctoral Research Associate USDA-ARS Hydrology and Remote Sensing Laboratory Bldg. 007, Rm. 104, BARC-West Beltsville, MD 20705-2350 USA Voice: (301) 504-7490 Fax: (301) 504-8931 Sumanta.Chatterjee@usda.gov

Research Interests:

• Water use and vegetation health monitoring and modeling using remote sensing data.
• Evapotranspiration modeling, drought forecasting, and wildfire causality study using multi sensor fusion of remote sensing data and time series analysis.
• Soil health and prediction using digital soil mapping and machine learning algorithms.
• Modeling atmospheric gas and mass exchange from crop fields using eddy covariance flux tower and ground sensor data.

Education:

• 2012 B.S. (Agricultural Sciences) Bidhan Chandra Krishi Viswavidyalaya, West Bengal, India.
• 2014 M.S. (Agricultural Physics) Indian Agricultural Research Institute, Delhi, India.
• 2022 Ph.D. (Soil Science) University of Wisconsin-Madison, USA.

Professional Experience:

• 2014 - 2016: Senior Research Fellow, Department of Agricultural Physics, Indian Agricultural Research Institute, Delhi, India.
• 2016 - 2018: ICAR-ARS Scientist (Agrometeorology), Indian Council of Agricultural Research-National Rice Research Institute, Cuttack, Odisha, India.
• 2019 - 2022: Graduate Research Assistant, Department of Soil Science, University of Wisconsin-Madison, USA.
• 2022 - present: Postdoctoral Research Fellow, USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD.

Awards:

• Netaji Subhas-ICAR International Fellowship 2018-19 for pursuing Ph.D. at College of Agricultural and Life Sciences (CALS), University of Wisconsin-Madison, USA.
• New Frontiers Scholarship 2021 by CORTEVA Agriscience, USA for research contribution in machine learning applications in agriculture innovations.
• Richard D. Powell Memorial Scholarship 2020 and 2021 from Department of Soil Science, University of Wisconsin-Madison, USA for outstanding performance in graduate studies.
• 2021 GA Harris Honorable Mention Award from METER Group, Inc. USA for purchasing field proximal sensors.
• UW-Madison Student Research Grants Competition–Conference Presentation Grant 2019 and 2021 for attending AGU Fall Meetings 2019 and 2021 conferences.
• Indian Council of Agricultural Research – Junior Research Fellowship (ICAR-JRF) in Physical Sciences in 2012.

Professional Service:

• Member of scientific societies (e.g., Soil Sci. Soc. America, American Geophysical Union)
• Section editor of journal ORYZA
• Reviewer of many intl. journals (e.g., Remote Sensing, Field Crop Research, CATENA, Geoderma, Agricultural and Forest Meteorology, Remote. Sems. Environ.)

Publication Databases: 

• ​Google Scholar

Selected Publications:  

Chatterjee, S., Huang, J, Desai, A., Zhu, J., Hu, J. (2023) Do land surface, climate, and vegetation have causality with boreal forest fire? (in review).

Chatterjee, S., Desai, A. R., Zhu, J., Townsend, P., Huang, J. (2022). Soil moisture as an essential component for delineating and forecasting agricultural rather than meteorological drought. Remote Sensing of Environment, Vol. 269, 112833, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2021.112833.

Chatterjee, S., Huang, J., Hartemink, A.E., 2020. Establishing an Empirical Model for Surface Soil Moisture Retrieval at the U.S. Climate Reference Network Using Sentinel-1 Backscatter and Ancillary Data. Remote Sensing 12, 1242. https://doi.org/10.3390/rs12081242.

Chatterjee, S., Hartemink, A. E., Triantafilis, J., Desai, A. R., Soldat, D., Zhu, J., ... & Huang, J. (2021). Characterization of field-scale soil variation using a stepwise multi-sensor fusion approach and a cost-benefit analysis. CATENA, 201, 105190. https://doi.org/10.1016/j.catena.2021.105190.

Chatterjee, S., Stoy, P. C., Debnath, M., Nayak, A. K., Swain, C. K., Tripathi, R., ... & Pathak, H. (2021). Actual evapotranspiration and crop coefficients for tropical lowland rice (Oryza sativa L.) in eastern India. Theoretical and Applied Climatology, 1-17. https://doi.org/10.1007/s00704-021-03710-0.

Chatterjee, S., Swain, C.K., Nayak, A.K., Chatterjee, D., et al., 2020. Partitioning of eddy covariance-measured net ecosystem exchange of CO2 in tropical lowland paddy. Paddy and Water Environment. https://doi.org/10.1007/s10333-020-00806-7.

Chatterjee, S., Bandyopadhyay, K.K., Pradhan, S., Singh, R. and Datta, S.P. Effects of irrigation, crop residue mulch and nitrogen management in maize (Zea mays L.) on soil carbon pools in a sandy loam soil of Indo-gangetic plain region. CATENA 165, 207-216. https://doi.org/10.1016/j.catena.2018.02.005.

Chatterjee, S., Bandyopadhyay, K.K., Pradhan, S., Singh, R. and Datta, S.P. Yield and Input Use Efficiency of Maize (Zea mays L.) as Influenced by Crop Residue Mulch, Irrigation and Nitrogen Management. J. Indian Soc. Soil Sci. 65 (2): 199-209. https://doi.org/10.5958/0974-0228.2017.00023.8.

Chatterjee, S., Bandyopadhyay, K.K., Pradhan, S., Singh, R. and Datta, S.P. 2016. Influence of Irrigation, Crop Residue Mulch and Nitrogen Management Practices on Soil Physical Quality. J. Indian Soc. Soil Sci. 64 (4): 351-367. https://doi.org/10.5958/0974-0228.2016.00048.7.

Debnath, M., Tripathi, R., Chatterjee, S. et al. (2021). Long-Term Yield of Rice–Rice System with Different Nutrient Management in Eastern India: Effect of Air Temperature Variability in Dry Season. Agric Res. https://doi.org/10.1007/s40003-021-00541-3.

Chatterjee, D., Swain, C.K., Chatterjee, S., Bhattacharyya, P., et al., 2020. Is energy balance in a tropical lowland rice perfectly closed? Atmosfera. https://doi.org/10.20937/ATM.52734.

Chatterjee, D., Nayak, A.K., Vijaykumar, S., Debnath, M., Chatterjee, S., et al., 2019. Water vapor flux in tropical lowland rice. Environ. Monit. Assess. 191 (9), 550. https://doi.org/10.1007/s10661-019-7709-4.

Chatterjee, D., Tripathi, R., Chatterjee, S., Debnath, M., et al., 2018. Characterization of land surface energy fluxes in a tropical lowland rice paddy. Theor. Appl. Climatol. doi: https://doi.org/10.1007/s00704-018-2472-y.

Swain, C.K., Nayak, A.K., Bhattacharyya, P., Chatterjee, D., Chatterjee, S., et al., 2018 Greenhouse gas emissions and energy exchange in wet and dry season rice: eddy covariance-based approach. Environ. Monit. Assess. 190: 423. https://doi.org/10.1007/s10661-018-6805-1.