Dr. Sartajvir Singh an accomplished academician and researcher at Indian Institute of Technology (IIT) Ropar, India, specializing in Electronics and Communication Engineering. He is a digital image analyst with expertise in remote sensing and earned his PhD in Electronics & Communication Engineering. He is practicing as Registered Patent (IN/PA 5806), Trade Mark (TMA 34156) and other Intellectual Property (IP) professional. He is also DGCA approved commercial Drone Operator (RPC/34231626V91SD). So far, he has filed 75 innovations/patents at the Indian Patent Office (IPO) with 35 Granted/Awarded. With expertise in the filed of Remote Sensing, Computing Algorithms, and Electronics, he has published 100 in SCI/Scopus Index Journals. An active IEEE member, he engages with IEEE Young Professionals, IEEE GRSS, IEEE Sensors, AGU, EGU, HG, ISTE and ISPRS. His research focuses on Remote Sensing, Automation, AI/ML and Computer Vision. He has served as a keynote speaker and resource person for numerous workshops and webinars. He also edited 2 conference proceedings, 10 books with publishers like Springer, Wiley, De Gruyter, Bentham, Elsevier, CRC, and Apple Academic Press.
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AI and Geospatial tools for sustainable mineral mining: Earth observation for responsible mineral extraction
Publisher: Elsevier - Academic Press
Editors: Sartajvir Singh, Vishakha Sood, Reet Kamal Tiwari, Neelam Dahiya, Manoj Khandelwal
This book will cover content related to the integration of Artificial Intelligence and geospatial Earth Observation technologies for sustainable and responsible mineral mining. It will emphasize advanced approaches for mineral exploration, real-time environmental monitoring, resource estimation, hazard assessment, and sustainable mine planning using GIS, remote sensing, UAVs, IoT, and AI-driven analytics. Therefore, professionals and researchers utilizing geospatial and AI tools for processing, analyzing, and interpreting mining and environmental data will greatly benefit from the proposed book.
| Important Dates | |
|---|---|
| Abstract Submission Deadline | 15 April 2026 |
| Abstract Acceptance Notification | 20 April 2026 |
| Full Chapter Submission Deadline | 31 May 2026 |
| Chapter Acceptance Notification | 30 June 2026 |
| Projected Book Release Date | 2027 |
| Important Guidelines | |
|---|---|
| Indexing | Chapters will be sent for possible inclusion in Scopus and No APC Charges |
| Originality | Plagiarism should be under 10%, with no AI-generated content |
| Citation Style | Harvard |
Chapter 1: Introduction to Sustainable Mineral Mining and Practices
Chapter 2: Basics of Mineral Mining Modelling, Mapping and Planning
Chapter 3: Geospatial Tools and GIS in Mineral Resource Management
Chapter 4: AI: Core Concepts and Algorithms for Geospatial Data in Mineral Mining
Chapter 5: Integrating AI with Earth Observation for Mineral Exploration
Chapter 6: Satellite and UAV-based Earth Observation for Mineral Exploration
Chapter 7: In-situ, UAV, and IoT-based Monitoring of Mineral Mining
Chapter 8: ML/DL based Modelling for Mineral Prospectivity Mapping
Chapter 9: ML/DL based Modelling for Geological Mapping & Alteration Mineral Detection
Chapter 10: Advanced Geological and AI–Geostatistical Models for Resource Estimation
Chapter 11: AI-Driven Mining Operations, Sensor Analytics, & Production Optimization
Chapter 12: AI and GIS for Sustainable Mine Planning and Design
Chapter 13: AI-Based Geotechnical Monitoring and Stability Assessment
Chapter 14: Water, Air, Tailings, and Dewatering Management Using EO and AI
Chapter 15: Biodiversity, Ecosystem Impacts, and Post-Mining Landscape Restoration
Chapter 16: Ethical, Legal, and Societal Implications of AI in Mining
Chapter 17: Global Case Studies in AI-Driven Sustainable Mining
Chapter 18: ESG Metrics, Mining Disclosure Standards, & Compliance Using Geospatial Analytics
Chapter 19: Challenges, Risks, and Ethical Considerations in Mineral Mining
Chapter 20: Future Directions: Digital Twins, Metaverse Mines, and Green Minerals
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