Innovative Research Award
Andrea Maria Lingua
Politecnico di Torino DIATI, Italy
| Andrea Maria Lingua |
| Affiliation |
Politecnico di Torino, DIATI |
| Country |
Italy |
| Scopus ID |
6507402873 |
| Documents |
152 |
| Citations |
3379 |
| h-index |
28 |
| Subject Area |
Earth and Planetary Sciences |
| Event |
International Research Excellence Awards – Book of Award |
| ORCID |
0000-0002-5930-2711 |
The Innovative Research Award recognizes distinguished scholarly achievement and sustained scientific contributions within Earth and Planetary Sciences. Andrea Maria Lingua of Politecnico di Torino has developed a notable research profile through interdisciplinary investigations spanning photogrammetry, geomatics, remote sensing, environmental monitoring, artificial intelligence, and geospatial analysis. Her publication record demonstrates continuous engagement with technological innovation and practical applications in environmental assessment, industrial surveying, and natural resource monitoring.[1]
Abstract
Andrea Maria Lingua has established an internationally recognized academic profile through research integrating geospatial technologies, remote sensing methodologies, photogrammetric reconstruction, environmental monitoring, and artificial intelligence. Her scholarly work contributes to the advancement of Earth observation techniques and supports practical applications in climate monitoring, industrial inspection, geomorphological analysis, and environmental management. The breadth of her publications and citation record reflects a sustained commitment to scientific excellence and technological innovation.[1]
Keywords
Photogrammetry, Remote Sensing, Geomatics, Artificial Intelligence, Earth Observation, Environmental Monitoring, Climate Change, Geospatial Analytics.
Introduction
Research in Earth and Planetary Sciences increasingly depends upon advanced sensing technologies and computational analysis. Andrea Maria Lingua’s work has contributed to this evolving landscape through the integration of digital photogrammetry, machine learning, and spatial analytics. Her research addresses practical scientific challenges while supporting methodological advancements across multiple environmental and engineering domains.[2]
Research Profile
With 152 indexed documents, 3,379 citations, and an h-index of 28, Lingua has developed a substantial scholarly portfolio. Her affiliation with Politecnico di Torino has facilitated multidisciplinary collaborations involving environmental sciences, engineering, computer vision, and geospatial data processing. Her studies frequently combine field observations with advanced computational approaches to generate reliable scientific insights.[1]
Research Contributions
- Development of deep learning methodologies for aerial imagery classification and climate change monitoring.[2]
- Research on flow-induced network reconfiguration and dispersion dynamics in braided river systems.[3]
- Advancement of real-time camera pose estimation and augmented reality-guided alignment technologies.[4]
- Application of photogrammetry and LiDAR techniques for industrial and geological measurements.[5]
Publications
Representative publications include studies on climate change monitoring through deep learning-based aerial image analysis, river network dynamics, augmented reality-assisted industrial alignment, photogrammetric determination of excavation volumes, and automated fish extraction from underwater video datasets. These works illustrate the diversity and practical relevance of her research agenda.[2][4]
Research Impact
The citation performance and international visibility of Lingua’s work indicate broad academic influence. Her contributions support improved environmental assessment, geospatial modeling, industrial surveying, biodiversity monitoring, and digital transformation initiatives. The integration of artificial intelligence with Earth observation technologies has increased the practical utility of her research outcomes across scientific and applied settings.[1]
Award Suitability
Andrea Maria Lingua demonstrates several attributes commonly associated with research excellence awards, including sustained publication productivity, measurable scholarly impact, interdisciplinary collaboration, methodological innovation, and application-oriented scientific outcomes. Her contributions to Earth and Planetary Sciences align closely with the objectives of the International Research Excellence Awards – Book of Award.[1]
Conclusion
The academic record of Andrea Maria Lingua reflects a consistent commitment to advancing geospatial science and environmental monitoring technologies. Through contributions spanning photogrammetry, remote sensing, machine learning, and Earth observation, she has produced research with both scholarly significance and practical value, supporting recognition through the Innovative Research Award.
External Links
References
- Elsevier. (n.d.). Scopus author details: Andrea Maria Lingua, Author ID 6507402873. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=6507402873
- Earth. (2026). Deep Learning-Based Classification of Aerial Imagery for Monitoring Climate Change Effects in the Maritime Alps.
https://doi.org/10.3390/earth7030099
- ESSOAr. (2026). How Flow-Induced Network Reconfiguration Shapes Dispersion in Braided Rivers.
https://doi.org/10.22541/essoar.15004212/v1
- ISPRS Journal of Photogrammetry and Remote Sensing. (2026). Close-range Real-time Camera Pose Estimation and AR-guided Alignment for Large-scale Industrial Components.
https://doi.org/10.1016/j.isprsjprs.2026.02.034
- Politecnico di Torino IRIS. (2026). Automatic Grain-size Curve Analyses and Determination of TBM Muck Volume Through Photogrammetry and Apple LiDAR Sensor.
https://doi.org/10.1007/s12518-026-00717-y
- ISPRS Archives. (2025). Automatic Extraction and Counting of Fish from Underwater Videos Using YOLO-Based Deep Learning Algorithms.
https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-79-2025