Publications 

Journals

1. 1. Analyzing land use change and surface water dynamics (1990–2020) in the upper Bhima River basin using Google Earth Engine. Discover Water, https://doi.org/10.1007/s43832-025-00308-9.

   2. Pre-and post-landslide phenomena in Pernote area, Ramban District, Jammu and Kashmir, India: implications for early warning, mitigation, and preparedness, Landslides, http://dx.doi.org/10.1007/s10346-025-02469-z (IF: 7.0)

   3. Geospatial assessment of soil erosion in the Basantar and Devak watersheds of the NW Himalaya: A study utilizing USLE and RUSLE models, Geosystems and Geoenvironment,  http://dx.doi.org/10.1016/j.geogeo.2025.100355 (Cite Score: 6.9)

   4. Integrating Community Perceptions, Scientific Data and Geospatial tools for Sustainable Water Quality Management, Results in Engineering, http://dx.doi.org/10.1016/j.rineng.2024.102563 (IF: 7.9)

   5. Landslide susceptibility evaluation in the Beas River Basin of North-Western Himalaya: A geospatial analysis employing the Analytical Hierarchy Process (AHP) method, Quaternary Science Advances, http://dx.doi.org/10.1016/j.qsa.2024.100180 (IF: 2.2)

   6. Singh, S., Kansal, M.L. A comparative study of morphometric, hydrologic, and semi-empirical methods for the prioritization of sub-watersheds against flash flood-induced landslides in a part of the Indian Himalayan Region. Environ Sci Pollut Res, https://doi.org/10.1007/s11356-023-30613-6   

   7. Sub-basin prioritisation using RUSLE in a Mountainous River Basin of Uttarakhand (India), Environment, Development and Sustainability, http://dx.doi.org/10.1007/s10668-023-02989-5  (IF: 4.2) 

   8. Flood Management Issues in Hilly Regions of Uttarakhand (India) under Changing Climatic Conditions, Water (MDPI)  https://doi.org/10.3390/w14121879 (IF: 3.0)

   9. Chamoli Flash-Flood Mapping and Evaluation with a Supervised Classifier and NDWI thresholding using Sentinel-2 Optical Data in Google Earth Engine. Earth Science Informatics, https://doi.org/10.1007/s12145-022-00786-8 (IF: 3.0)

   10. Identification of flash-floods prone river reaches in Beas river basin using GIS-based multi-criteria technique: validation using field and satellite observations. Natural Hazards. https://doi.org/10.1007/s11069-020-04406-w (IF: 3.7)

   11. Land use land cover change detection and urban sprawl prediction for Kuwait metropolitan region, using multi-layer perceptron neural networks (MLPNN), The Egyptian Journal of Remote Sensing and Space Sciences, https://doi.org/10.1016/j.ejrs.2023.05.003 (IF: 4.1)

   12. Status of Air Pollution during COVID-19-Induced Lockdown in Delhi, India, Atmosphere (MDPI),  https://doi.org/10.3390/atmos13122090  (IF: 2.3)

   13. Assessment of water quality index using Analytic Hierarchy Process (AHP) and GIS: a case study of a struggling Asan River, International Journal of Environmental Analytical Chemistry,  https://doi.org/10.1080/03067319.2022.2032015 (IF. 2.5)

   14. Impact of Forest Fires on Air Quality in Wolgan Valley, New South Wales, Australia—A Mapping and Monitoring Study Using Google Earth Engine, Forests (MDPI), https://doi.org/10.3390/f13010004 (IF. 2.5)

   15. Identification of Potential Recharge Zones in Drought Prone Area of Bundelkhand Region, India, Using SCS-CN and MIF Technique Under GIS-frame work, Water Conservation Science and Engineering, https://doi.org/10.1007/s41101-021-00105-0 (IF. 1.9)

   16. An Assessment of In-situ Water Quality Parameters and its variation with Landsat 8 Level 1 Surface Reflectance datasets, International Journal of Environmental Analytical Chemistry, https://doi.org/10.1080/03067319.2021.1954175 (IF. 2.5)

Conferences and Book Chapters

1. Bird Diversity, Habitat Degradation, and Ecosystem Services Evaluation of Bisalpur Wetland, Rajasthan, In: Saritha, V., Pande, C.B., Singh, R., Shahid, M. (eds) Remote Sensing for Environmental Monitoring. Springer, Singapore. https://doi.org/10.1007/978-981-96-5546-5_14 

2. Landslide Hazard and Risk Management Framework for Alaknanda Basin in the Indian Himalayan Region, http://dx.doi.org/10.1007/978-3-031-56591-5_24 

3. Landslide Hazard Zonation in the Alaknanda River Basin Using Innovative Techniques. World Environmental & Water Resources Congress 2023. https://ascelibrary.org/doi/10.1061/9780784484852.004

4. Cloudburst Induced Flood Assessment in the North-Western Himalayan Region—A Case Study of Upper Beas Basin.– World Congress on Disaster Management 2021.  https://doi.org/10.4324/9781003341932 

5. Impact of Land Use Land Cover on Land Surface Temperature Over Alaknanda River Basin Using Geospatial Techniques. https://doi.org/10.1007/978-3-030-98981-1_30  

6. Cloudburst—A Major Disaster in The Indian Himalayan States. In S. Kolathayar, I. Pal, S. C. Chian, & A. Mondal (Eds.), Civil Engineering for Disaster Risk Reduction (pp. 115–126). Springer Singapore. https://doi.org/10.1007/978-981-16-5312-4_9

7. Flash Flood Hazard mapping using Satellite Images and GIS: A Case Study of Alaknanda River Basin. In Flash Floods: Challenges and its Management (pp. 77–83). The Institution of Engineers Centenary Publication.

8. Synergistic Use of Remote Sensing, GIS and Hydrological Models for Study of August 2018 Kerala Floods http://dx.doi.org/10.5194/isprs-archives-XLIII-B3-2020-1263-2020 

9. Estimation of Revised Capacity in Gobind Sagar Reservoir using Google Earth Engine and GIS. DOI: https://doi.org/10.5194/isprs-archives-XLII-5-589-2018

10. Snow Cover And Glacier Dynamics Study Using C-And L-Band SAR Datasets In Parts Of North-West Himalaya. DOI: https://doi.org/10.5194/isprs-archives-XLII-5-375-2018   

11. Application of GIS for the Design of Potable Water Distribution System in IIRS. DOI: https://doi.org/10.5194/isprs-annals-IV-5-87-2018.

12. Seasonal Comparison of ERA-INTERIM Precipitation Dataset for the Entire Indian Region. DOI: https://doi.org/10.5194/isprs-archives-XLII-5-567-2018

13. CityGML Based 3D Modeling of Urban Area Using UAV Dataset for Estimation of Solar Potential. DOI: https://doi.org/10.1007/978-3-030-37393-1_30

14. Generation of Historic, Present and Future Snow Cover Datasets Using Modelling Approach. https://www.iirs.gov.in/iirs/sites/default/files/pdf/national-seminar/Proceedings_National_Seminar.pdf 

15. Spatial Variability of Normalized Difference Snow Index and Normalized Difference Glacier Index with Land Surface Temperature

16. Identification of Urban Heat Island due to Rapid Growth of Urbanisation using Time Series Remotely Sensed Data

17. Assessing long-term Surface Water change in Uttarakhand using Google Earth Engine and GIS.

Abstracts

1. Geospatial Assessment of Terrain-Based Snow Cover Distribution in Ladakh Using HIMCHITRA. In Conference: National Symposium ISG–ISRS–2025 on ‘Geomatics and Space Innovations towards Atmanirbhar Bharat: Insights and Frontiers ' at IIT Kharagpur Research Park, Kolkata, from 23-27 November 2025.

2. Cryospheric change and water security challenges in cold-arid Ladakh: Evidence from the Ganglas Catchment.In Conference: 37th Annual Conference of the Indian Institute of Geomorphologists (IGI) on Geomorphology, Environmental Change, Weather Extremes, and Disaster Risk Management, From 2-4 September 2025.

3. A GIS-Based Landslide Hazard Mapping of Alaknanda River Basin in the Indian Himalayan Region Using Remote Sensing and AHP. AGU Fall Meeting 2022. https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1146487 

4. Flood Management Issues in Hilly Regions of Uttarakhand in India Under Changing Climatic Condition. In Lowering Risk by Increasing Resilience (Issue 8, pp. 106–107). ICFM 8. https://www.icfm.world/icmf8-book.html 

5. Flash-flood induced Erosion-Prone Area Prioritization and Potential Soil Loss Estimation using RUSLE for Alaknanda River Basin. In Book of abstracts of the Second International Conference on Natural Hazards and Risks in a Changing World (2nd ed., Issue October, pp. 68–69). https://www.uni-potsdam.de/en/natriskchange/activities/second-international-natriskchange-conference-2021 

6. Flood Mapping Using Integration of Google Earth Engine and Statistical Thresholding - A Case Study of Bihar Floods in India. AGU Advancing Earth and Space Science, H11M-1686. https://ui.adsabs.harvard.edu/abs/2019AGUFM.H11M1686S/abstract 

1. PI – Development of a User-Friendly Web-Portal for Integrated Snow Cover and Meteorological Analysis with Land Use Change Detection Using Google Earth Engine, Research Project, Duration: 24 months, Funding: >10 lakhs, Sponsored by: National Institute of Hydrology, Outcome: Product.

2. Co-PI – Site Suitability Mapping for Rainwater Harvesting and Spring Rejuvenation in the Tawi Basin, Research Project, Duration: 24 months, Funding: >10 lakhs, Sponsored by: National Institute of Hydrology, Outcome: Publication.
   
   

3. Co-PI – Basin Scale Inventorying of Rock Glaciers for Hydrological Storage Estimation and Hazard Vulnerability Assessment, Research Project, Duration: 36 months, Funding: >10 lakhs, Sponsored by: National Institute of Hydrology, Outcome: Publication.
   
   

4. Co-PI – Understanding Cryospheric Processes in Response to Climate Change and Atmospheric Pollutants: A Case Study of Jhelum Basin, Kashmir Himalaya, India, Research Project, Duration: 36 months, Funding: >10 lakhs, Sponsored by: National Institute of Hydrology, Outcome: Publication.
   
   

5. Co-PI – Comprehensive Mapping of Water Budget Dynamics and Reservoir Sedimentation in the Upper Krishna Basin using Google Earth Engine, Research Project, Duration: 24 months, Funding: >10 lakhs, Sponsored by: National Institute of Hydrology, Outcome: Product.