Supervisor:
Education
Sl No. | Degree | University | Year |
---|---|---|---|
1 | MSc | University of Allahabad | 2021 |
2 | Bsc | University of Delhi | 2019 |
Journal Article
1 | Singh , A., Chhetri, K, N., , N., Gupta, K, S., & Shukla, P, D. (2023). Strategies for sampling pseudo-absences of landslide locations for landslide susceptibility mapping in complex mountainous terrain of Northwest Himalaya. Bulletin of Engineering Geology and the Environment, 82(8), 1-21. https://link.springer.com/article/10.1007/s10064-023-03333-x | View More |
2 | Chhetri, K, N., Singh , A., Shukla, P, D., & Gupta, K, S. (2023). Effect of the Normalized Difference Vegetation Index (NDVI) on GIS-Enabled Bivariate and Multivariate Statistical Models for Landslide Susceptibility Mapping. Journal of the Indian Society of Remote Sensing, 51(8), 1-18. https://link.springer.com/article/10.1007/s12524-023-01738-5 | View More |
3 | Ashuli, A., Dubey, S, C., Chhetri, K, N., , N., Singh , A., & Shukla, P, D. (2023). Evaluating causative factors for landslide susceptibility along the Imphal-Jiribam railway corridor in the North-Eastern part of India using a GIS-based statistical approach. Environmental Science and Pollution Research, 1(1), 1-8. https://doi.org/10.1007/s11356-023-28966-z | View More |
4 | Singh , A., Dubey, S, C., Chhetri, K, N., , N., & Singh , A. (2024). Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region. Scientific Reports , (), . https://doi.org/10.1038/s41598-024-76541-4 | View More |
5 | Singh , A., , N., Chhetri, K, N., & Shukla, P, D. (2024). Improving ML-based landslide susceptibility using ensemble method for sample selection: a case study of Kangra district in Himachal Pradesh, India. Environmental Science and Pollution Research, (), . https://doi.org/10.1007/s11356-024-34726-4 | View More |
Conference Paper
1 | Mahanta, K, K., Singh , A., & Shukla, P, D. (2023, July). Tracking and Investigating Land Subsidence in Himalayan town using PSInSAR techniques: Lessons from Joshimath. XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG), Berlin | View More |
2 | Mahanta, K, K., Pradhan, P, I., Singh , A., Gupta, K, S., & Shukla, P, D. (2023, June). Integrating Machine Learning and Statistical methods to enhance rock glacier-based Permafrost prediction in Northern Kargil regions. EUCOP6, Puigcerda, Spain | View More |
3 | Chhetri, K, N., Singh , A., Shukla, P, D., & Gupta, K, S. (2023, January). Improved Landslide Susceptibility mapping using statistical MLR model. 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), Hyderabad, India | View More |
4 | , N., Chhetri, K, N., Singh , A., & Shukla, P, D. (2022, December). Limit Equilibrium Method based Slope Stability analysis in the vicinity of Kotrupi area, Mandi. AGU Fall Meeting Abstracts, Chicago | View More |
5 | Singh , A., Chhetri, K, N., , N., & Shukla, P, D. (2022, December). Evaluating the effect of different sampling ratio on landslide susceptibility mapping of Kangra District. AGU Fall Meeting Abstracts, Chicago | View More |
6 | Singh , A., Gupta, K, S., , N., & Shukla, P, D. (2022, July). Estimating Suitable Categorization Method for Landslide Susceptibility Mapping of Mandi District. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia | View More |