Sahajpal, Ritvik

Bio

Dr. Sahajpal is crop condition co-lead at the University of Maryland Harvest Hub, providing research support for Harvest activities. His areas of research include:

•    Monitoring crop yields from field to global scales using Earth observation data
•    Modeling the impacts of conservative agriculture practices on soil health and crop yield
•    Mapping land-use and land-cover change and modeling their impacts on the carbon-climate system
•    Vegetation and Carbon Redistribution under Climate Change

Biography
Dr. Ritvik Sahajpal is an Associate Research Professor at the Department of Geographical Sciences at University of Maryland, crop condition co-lead at NASA Harvest and a member of the data advisory council at Foundation for Food and Agriculture Research (FFAR). His research expertise is broadly related to using Earth observation data to monitor crop yields from field to global scales, modeling the impacts of conservative agriculture practices on soil health and crop yield, and mapping land-use and land-cover change and modeling their impacts on the carbon-climate system. Dr. Sahajpal uses both machine learning and data driven agro-ecosystem modeling techniques in his work. His research has been funded by NASA, FFAR, USAID and published in journals like Nature, Environmental Research Letters, Geoscientific Model Development and Science of the Total Environment. Previously, he was a post-doc at the Forest and Wildlife Ecology department at the University of Wisconsin-Madison, and finished his PhD in Geographical Sciences at the University of Maryland in 2014.

Research Topics

  • Carbon, Vegetation Dynamics and Landscape-Scale Processes
  • Geospatial Information Science and Remote Sensing
  • Human Dimensions of Global Change - Coupled Human and Natural Systems
  • Land Cover - Land Use Change

GEOG 657 (Spring 2021): Web Programming GEOG398P (Fall 2020): Programming for Image Analysis GEOG788J (Fall 2020): Python for Data Science GEOG498A (Winter 2019): Introduction to Python for Data Science GEOG788J (Fall 2019): Python for Data Science


                        
  • Kerner, H. R., Sahajpal, R., Pai, D. B., Skakun, S., Puricelli, E., Hosseini, M., ... & Becker-Reshef, I. (2022). Phenological normalization can improve in-season classification of maize and soybean: A case study in the central US Corn Belt.

  • Lamb, R., Ma, L., Sahajpal, R., Hultman, N., Edmonds, J., Dubayah, R., Kennedy, J., & Hurtt, G. 2021. Geospatial assessment of the economic opportunity for reforestation in Maryland, USA. Environmental Research Letters, 16(8), 084012.

  • Bandaru, V*., R. Yaramasu, PVNR. Koutilya, J. He, F. Sedano, R. Sahajpal, B. Wardlow, A. Suyker, C. Justice. 2020. PhenoCrop: An integrated satellite-based framework to estimate crop physiological growth stages. International Journal of Applied Earth

  • Becker-Reshef, I; Barker, B.; Humber, M.; Puricelli, E.; Sanchez, A.; Sahajpal, R.; McGaughey, K.; Justice, C.; Baruth, B.; Bingfang, W.; Prakash, A.; Abdolreza, A.; Jarvis, I., “The GEOGLAM Crop Monitor for AMIS: Assessing Crop Conditions in the Context

  • Hurtt, G.C., M. Zhao, R. Sahajpal, A. Armstrong, R. Birdsey, E. Campbell, K. Dolan, R.O. Dubayah, J.P. Fisk, S. Flanagan, C. Huang, W. Huang, K. Johnson, R. Lamb, L. Ma, R. Marks, D. O'Leary III, J. O'Neil-Dunne, A. Swatantran, and H. Tang. (2019).

  • Hurtt, G. C., Zhao, M., Sahajpal, R., Armstrong, A., Birdsey, R., Campbell, E., Dolan, K., Dubayah, R., Fisk, J., Flanagan, S., Huang, C., Huang, W., Johnson, K., Lamb, R., Ma, L., Marks, R., O’Leary, D., O’Neil-Dunne, J., Swatantran, A., Tang, H. (2019).

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