Degrees:
Ph.D., North Carolina State Univ.
M.S., East Tennessee State Univ.
M.S., Univ. of Calcutta
B.S., Univ. of Calcutta
Raja Das is a geoscientist specializing in geospatial analytics, with a focus on using remote sensing, InSAR (Interferometric Synthetic Aperture Radar), and machine learning to detect, monitor, and model landslide hazards across diverse regions. His research combines satellite imagery and spatial analysis to understand where and why slope failures occur—particularly in data-scarce or landslide-prone regions. Originally from Kolkata, India, he earned his Ph.D. in Geospatial Analytics from North Carolina State University, after completing graduate degrees in Geosciences at East Tennessee State University and in Applied Geology at the University of Calcutta. His teaching emphasizes inquiry-based, hands-on learning and highlights the practical applications of geospatial tools in addressing environmental challenges. His work has been recognized with national awards and supported by organizations such as the Geological Society of America. He has presented his research internationally and published in peer-reviewed journals on topics including landslide susceptibility, risk modeling, and satellite-based hazard detection. |
-
Earth and Environmental Geology
-
Remote Sensing (Introductory and Advanced)
-
Geographic Information Systems (GIS)
-
Natural Hazards
-
Geospatial Data Science
-
Environmental Applications of Remote Sensing and GIS
|
-
Landslide Prediction and Early Warning
-
Landslide Hazard and Risk Assessment
-
InSAR Applications in Geohazard Monitoring
-
Machine Learning in Geospatial Hazard Modeling
-
GIS-Based Spatial Analysis
|
- Das, Raja, and Karl W. Wegmann. “InSAR Characterization of Short-Term Deformation in a Late Quaternary Landslide Complex in the Lower Rio Grande Gorge in New Mexico.” Scientific Reports (2025).
- Das, Raja, Pham Van Tien, Karl W. Wegmann, and Madhumita Chakraborty. "Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam." PloS one 19, no. 10 (2024): https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0308494
- Das, Raja, and Karl W. Wegmann. "Evaluation of machine learning-based algorithms for landslide detection across satellite sensors for the 2019 Cyclone Idai event, Chimanimani District, Zimbabwe." Landslides 19, no. 12 (2022): 2965-2981. https://doi.org/10.1007/s10346-022-01912-9
- Foad, H., Das, R., Greer, L., & Wirth, K. R. (2025). Tracking coral loss at a refugium in Belize: A multitemporal satellite assessment. GSA Southeastern Section Meeting 2025, Harrisonburg, Virginia, USA.
- Das, R., & Wegmann, K. Identifying present-day slope instability in the landslides of Black Mesa, Rio Grande Gorge, New Mexico, using InSAR time-series analysis. GSA Connects 2024, Anaheim, California.
- Das, R., Tien, P.V., Wegmann, K. Quantitative Assessment of Landslide Hazard and Risk at Regional-Scale: A Case Study from Central Vietnam. (Under revision in Environmental Science and Pollution Research).
- Das, R., Wegmann, K., Tien, P.V. Event-Based Mapping and Spatial Pattern Analysis of Landslides in Parts of Central Vietnam. (Under revision in Natural Hazards).
- Das, R., Nandi, A., Luffman, I. et al. Assessment of discontinuity-controlled rock slope instability for debris slide initiation: a GIS-based kinematical analysis in the Great Smoky Mountains National Park, TN, USA. Environmental Earth Sciences 83, 284 (2024). https://doi.org/10.1007/s12665-024-11578-2
- Chakraborty, M., Mukherjee, A., Ahmed, K.M., Fryar, A.E., Bhattacharya, A., Zahid, A., Das, R., and Chattopadhyay, S. Influence of Hydrostratigraphy on the Distribution of Groundwater Arsenic in the Transboundary Ganges River Aquifer System, India and Bangladesh. GSA Bulletin (2022). https://doi.org/10.1130/B36068.1
- Ghosh, S., Das, R., Goswami, B. Developing GIS-Based Techniques for Application of Knowledge- and Data-Driven Methods of Landslide Susceptibility Mapping. Indian Journal of Geosciences 67 (3-4), 249-272 (2013).
|
- North Carolina ArcGIS User Group (NCAUG) Graduate Student Scholarship. Awarded by North Carolina ArcGIS User Group, 2023.
- J. Hoover Mackin Research Award. Awarded by the Quaternary Geology & Geomorphology Division of the Geological Society of America for an outstanding research proposal in Geomorphology, 2023.
- Roy J. Shlemon Scholarship Award. Awarded by the Environmental and Engineering Geology Division of the Geological Society of America for an outstanding research proposal in Environmental and Engineering Geology, 2023.
- Geological Society of America (GSA) Graduate Student Research Grant, 2022.
- Center for Geospatial Analytics at NC State Conference Travel Award 2022, 2021.
- LEMKE Scholar, Association of Environmental and Engineering Geologists Foundation, 2019.
|
|