Best Researcher Award
Aditya Kuamar Thakur is associated with the Indian Institute of Technology Roorkee and works across remote sensing, geospatial analysis, environmental monitoring, mining applications, and Earth observation. His research profile includes satellite-based assessment, spatial modelling, interferometric methods, environmental datasets, and computational approaches applied to Earth-system and engineering questions. [1]
Abstract
Aditya Kumar Thakur is a researcher affiliated with the Indian Institute of Technology Roorkee whose work spans remote sensing, geospatial analysis, environmental monitoring, mining applications, atmospheric pollution, hydrology, and Earth observation. His publication record includes studies using satellite imagery, interferometric techniques, statistical modelling, machine learning, and spatial analysis to investigate ground deformation, air quality, vegetation, water resources, snow cover, and coal related phenomena. The supplied profile records 31 documents, 151 citations, and an h index of 8. His research illustrates interdisciplinary applications of geospatial technologies for understanding environmental processes, infrastructure conditions, natural resources, and spatially distributed Earth system changes regionally.
Keywords
Aditya Kumar Thakur’s publication themes support keywords including remote sensing, geospatial analysis, Earth observation, Persistent Scatterer InSAR, ground deformation, mining geotechnics, nitrogen dioxide, air pollution, Sentinel-2, Sentinel-5P, NDVI, NDWI, precipitation estimation, snow cover, machine learning, hyperspectral analysis, coal-fire modelling, environmental monitoring, hydrology, analysis, satellite-based assessment, regional, climate, and risk assessment.
Introduction
Earth observation, remote sensing, geospatial science, environmental assessment, and civil engineering applications. His reported research examines spatial and temporal patterns in environmental systems, mining landscapes, atmospheric pollutants, water resources, vegetation, snow cover, and land deformation, using quantitative geospatial methods and satellite datasets. [2]
Research Profile
Aditya Kumar Thakur is associated with the Indian Institute of Technology Roorkee and appears in research profiles as a researcher in Civil Engineering. His expertise includes remote sensing, coal mining, geospatial analysis, environmental monitoring, and spatial modelling. Listed academic indicators supplied for this article include 31 documents, 151 citations, and h-index 8 currently. [1]
Research Contributions
Aditya Kumar Thakur contributes to research applying satellite observations and computational methods to environmental and infrastructure questions. His studies address Persistent Scatterer Interferometric Synthetic Aperture Radar, nitrogen dioxide mapping, vegetation and water indices, precipitation estimation, snow dynamics, coal-fire modelling, and hyperspectral assessment; demonstrating methodological use across Earth-system and engineering problems. [2] [3]
Publications
Aditya Kumar Thakur publishes research covering ground deformation, remote sensing, atmospheric pollution, vegetation and surface-water dynamics, snow-cover prediction, precipitation estimation, coal-fire probability, and hyperspectral material assessment. Publications include studies in Scientific Reports, Natural Resources Research, Journal of Earth System Science, and related Earth-observation journals, reflecting interdisciplinary applications of geospatial data. [2] [4] [5]
Research Impact
Aditya Kumar Thakur’s research provides evidence relevant to environmental monitoring, mining-area assessment, pollution analysis, water-resource understanding, and land-surface change detection. The use of satellite observations and computational modelling can support reproducible assessments where field observations are spatially limited. Citation indicators supplied for this profile provide one measure of scholarly visibility. [1]
Award Suitability
Aditya Kumar Thakur’s research profile aligns with recognition themes emphasizing interdisciplinary research, geospatial innovation, environmental observation, and applied Earth-science investigation. His reported publication portfolio combines remote sensing, statistical analysis, machine learning, interferometric methods, and environmental datasets. Award consideration may therefore examine methodological rigor, originality, publication quality, research influence, and relevance.
Conclusion
Aditya Kumar Thakur presents a research profile centered on remote sensing, geospatial analysis, environmental monitoring, and Earth-system applications. His documented studies address diverse problems including land deformation, atmospheric pollution, hydrology, vegetation, snow, mining, and materials. The supplied bibliometric indicators and publication themes provide a factual basis for academic recognition review.
External Links
References
- ResearchGate. (n.d.). Aditya Thakur: Research profile. Indian Institute of Technology Roorkee.
https://www.researchgate.net/profile/Aditya-Thakur-19
- Thakur, A. K., Garg, R. D., Jain, K., & Kumar, D. (2025). Classical and quantum approaches to probabilistic modeling of fire occurrence in anthracite grade coal. Scientific Reports, 15, 34003. https://doi.org/10.1038/s41598-025-12405-9
- Thakur, A. K., Attri, L., Garg, R. D., Jain, K., Kumar, D., & Chowdhury, A. (2024). Temporal and Spatial Dynamics of Subsidence in Eastern Jharia, India. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-X-4-2024-349-2024
- Thakur, A. K., Srivastava, A., Garg, R. D., & Jain, K. (2026). A comprehensive assessment of vegetation and water resource dynamics in Bihar using Sentinel-2 derived NDVI and NDWI indices. Journal of Earth System Science, 135(1). https://doi.org/10.1007/s12040-025-02718-8
- Tiwari, H., Thakur, A. K., & Garg, R. D. (2026). Enhanced precipitation estimation in a Himalayan river basin through the fusion of multi-source datasets using various machine learning techniques. Physics and Chemistry of the Earth, Parts A/B/C, 144, 104418. https://doi.org/10.1016/j.pce.2026.104418
