Innovative Research Award
Aditya Thakur
Department of Civil Engineering, Indian Institute of Technology Roorkee, India
| Aditya Thakur |
| Affiliation |
Indian Institute of Technology Roorkee |
| Country |
India |
| Google Scholar |
EMx1v0MAAAAJ |
| Documents |
20+ |
| Citations |
112 |
| h-index |
6 |
| Subject Area |
Geoinformatics, Remote Sensing, Civil and Mining Engineering |
| Event |
Global Academic Awards |
Aditya Thakur is an Indian academic researcher associated with the Department of Civil Engineering at the Indian Institute of Technology Roorkee. His scholarly contributions are situated primarily within the interdisciplinary domains of geoinformatics, remote sensing, environmental monitoring, land subsidence analysis, and urban environmental assessment. His research portfolio demonstrates active engagement with satellite-based earth observation systems, geospatial analytics, hyperspectral imaging, and machine learning approaches for environmental and infrastructural applications.[1]
His published works include investigations into atmospheric pollution dynamics, mining-induced land deformation, monsoon flood assessment, urban spatial analysis, and non-destructive material evaluation using remote sensing methodologies. The research profile reflects collaboration with researchers from premier Indian institutions, particularly the Indian Institute of Technology Roorkee and related geospatial research groups.[2]
Abstract
The academic work of Aditya Kumar Thakur focuses on the application of geospatial technologies and remote sensing methodologies to address environmental, infrastructural, and urban analytical challenges. His research integrates satellite imagery, machine learning, hyperspectral sensing, and geostatistical modeling for the assessment of land subsidence, air pollution, urban flooding, vegetation dynamics, and construction material analysis. His publication record indicates active participation in interdisciplinary scientific collaborations and demonstrates emerging contributions to earth observation science and civil engineering analytics.[3]
Keywords
Remote Sensing, Geoinformatics, Land Subsidence, Sentinel-5P, Hyperspectral Imaging, Urban Flood Analysis, NO₂ Monitoring, Geospatial Analytics, Machine Learning, Civil Engineering, Environmental Assessment, Satellite Imagery.
Introduction
Contemporary research in geospatial science increasingly relies on multi-source satellite datasets, computational analytics, and environmental modeling frameworks for understanding complex terrestrial processes. Within this context, Aditya Kumar Thakur has contributed to the study of environmental monitoring and infrastructure-related geospatial assessment through the application of remote sensing technologies.[4]
His research activities include investigations into mining-induced deformation in the East Jharia coalfield, spatial dynamics of atmospheric pollutants, flood variability assessment, and vegetation monitoring using Sentinel satellite datasets. These studies contribute to practical understanding in areas such as disaster risk reduction, environmental sustainability, urban planning, and resource management.[5]
Research Profile
Aditya Kumar Thakur is affiliated with the Department of Civil Engineering at the Indian Institute of Technology Roorkee, one of India’s leading engineering institutions. His research profile demonstrates expertise in geospatial technologies, remote sensing applications, and environmental data analytics. The scholarly record includes collaborations with senior academics and researchers specializing in remote sensing, civil engineering, environmental systems, and geospatial intelligence.[6]
The citation metrics associated with his profile indicate growing academic visibility, with more than one hundred citations and an h-index of six. His work spans peer-reviewed journals, conference proceedings, and interdisciplinary scientific publications focused on remote sensing applications and environmental systems analysis.[7]
Research Contributions
One of the major research themes in Thakur’s work involves the analysis of land subsidence and ground deformation in mining-affected regions, particularly the East Jharia coalfield. These studies employ InSAR-based methodologies and time-series deformation analytics for understanding structural and environmental implications associated with underground mining activities.[8]
Another significant area of contribution relates to atmospheric pollution assessment using Sentinel-5P satellite data. His studies on nitrogen dioxide concentration trends across Indian cities provide insights into urban air quality dynamics and spatial-temporal environmental variability.[9]
The researcher has additionally contributed to flood monitoring and urban planning studies through geospatial analysis and SAR-based flood mapping approaches. These investigations assist in identifying vulnerable urban clusters and understanding hydrological variability during monsoon events.[10]
His collaborative work in hyperspectral remote sensing has explored non-destructive quality assessment techniques for cement, mortar, and concrete materials. These studies demonstrate the integration of civil engineering material science with advanced spectral imaging methods.[11]
Publications
- “An assessment of the spatiotemporal dynamics and seasonal trends in NO₂ concentrations across India using advanced statistical analysis.” Remote Sensing Applications: Society and Environment, 2025.
- “An assessment of different line-of-sight and ground velocity distributions for a comprehensive understanding of ground deformation patterns in East Jharia coalfield.” Remote Sensing Applications: Society and Environment, 2025.
- “Land subsidence dynamics and its structural impact assessment over East Jharia, Jharkhand, India.” Journal of Earth System Science, 2025.
- “Comparative analysis of deep learning CNN models and traditional machine learning approaches for land use land cover classification using imagery.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2025.
- “Prediction of Tropospheric Nitrogen Dioxide in Kolkata Using Sentinel-5P and Sentinel-2 Multispectral Data and Machine Learning Algorithm.” Journal of the Indian Society of Remote Sensing, 2026.
- “Classical and quantum approaches to probabilistic modeling of fire occurrence in anthracite grade coal.” Scientific Reports, 2025.
Research Impact
The research output of Aditya Kumar Thakur demonstrates interdisciplinary relevance across geospatial science, environmental engineering, and urban analytical systems. His work contributes to the practical application of remote sensing technologies for addressing environmental sustainability challenges and infrastructure-related risks.[12]
The citation record and collaborative publication profile indicate increasing scholarly recognition within remote sensing and geoinformatics communities. His studies involving Sentinel datasets, machine learning algorithms, and deformation analytics reflect contemporary scientific approaches aligned with current trends in environmental monitoring and spatial intelligence research.[13]
Award Suitability
Aditya Kumar Thakur’s academic portfolio aligns with the criteria generally associated with research excellence and emerging scholar recognition programs. His contributions to environmental remote sensing, land deformation analysis, and urban geospatial modeling demonstrate methodological rigor and interdisciplinary relevance.[14]
The integration of advanced geospatial techniques with practical environmental and infrastructural applications further supports the suitability of his profile for academic recognition in remote sensing, geoinformatics, and civil engineering research categories. His publication trajectory also indicates sustained research engagement and collaborative scientific productivity.[15]
Conclusion
Aditya Kumar Thakur represents an emerging researcher within the interdisciplinary fields of geoinformatics, remote sensing, and environmental engineering. His scholarly contributions encompass satellite-based environmental monitoring, geospatial analytics, urban systems assessment, and deformation analysis. Through collaborative research and applied scientific investigations, he has contributed to the growing body of knowledge associated with remote sensing applications in environmental and civil engineering sciences.[16]
External Links
References
- Srivastava, A., Thakur, A.K., & Garg, R.D. (2025). Aditya Kumar Thakur – Academic Citation Profile. https://scholar.google.com/citations?user=EMx1v0MAAAAJ&hl=en&oi=sra
- Indian Institute of Technology Roorkee. (2026). Department of Civil Engineering Research Profiles.
- Srivastava, A., Thakur, A.K., & Garg, R.D. (2025). An assessment of the spatiotemporal dynamics and seasonal trends in NO₂ concentrations across India using advanced statistical analysis. https://www.sciencedirect.com/science/article/abs/pii/S2352938525000436
- Thakur, A.K., Garg, R.D., & Jain, K. (2025). Ground deformation assessment using remote sensing methods. Remote Sensing Applications: Society and Environment.
- Soudagar, R., & Thakur, A.K. (2025). Quantifying Spatiotemporal Variability of Patna’s Monsoon Flood Using Sentinel-1 SAR Data and Moran’s Index.
- Google Scholar Metrics. (2026). Citation and h-index Statistics.
- Srivastava, A., Thakur, A.K., Garg, R.D., & Garg, P.K. (2026). Prediction of Tropospheric Nitrogen Dioxide Using Sentinel Data and Machine Learning.
- Kumari, M., & Thakur, A.K. (2025). Spatial patterns of population density and urban planning priorities.