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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Explainable AI (XAI) in Remote Sensing: A New Era for Earth Observation
Publisher: Springer Nature
Editors: Sartajvir Singh, Biswajeet Pradhan, Reet Kamal Tiwari, Vishakha Sood
This book provides a exploration of XAI in revolutionizing Remote Sensing Data Analysis and helps in delivering transparent, actionable insights from remote sensing data in real world applications. Additionally, it explores how XAI addresses the current requirements in terms of sustainable decision-making.
| Important Dates | |
|---|---|
| Abstract Submission Deadline | 15 Dec 2025 |
| Abstract Acceptance Notification | 15 2026 |
| Full Chapter Submission Deadline | 15 February 2026 |
| Chapter Acceptance Notification | 15 March 2026 |
| Projected Book Release Date | November 2026 |
| Important Guidelines | |
|---|---|
| Citation Style | Harvard |
| Originality | Plagiarism Under 10%, 0% AI Generated Content |
| Formatting | 11 pt Times New Roman, 1.5 line spacing |
| Headings | Heading 1: ALL BOLD CAPS; Heading 2: Bold Title Case; Heading 3: Bold Italic Title Case;Heading 4: Bold Italic Sentence case; Heading 5: Light Italic Sentence case; Paragraphs: Should be Numbered (1.1, 1.1.1, etc.) |
| Figures | High-quality, original figures, 300 dpi |
Chapter 1: Introduction and Principals of XAI for Earth Observation
Chapter 2: Remote Sensing: Concepts, Technologies, Methods and Data Sources
Chapter 3: Integration of the XAI, Remote Sensing, FAIR Data Principles
Chapter 4: Challenges and Limitations of Conventional AI Models in Remote Sensing
Chapter 5: Core XAI Methods and Frameworks for Earth Observation: A Review
Chapter 6: XAI for Interpretable Machine Learning in Remote Sensing
Chapter 7: XAI Models in Deep Learning : Practical Insights for Interpretable AI
Chapter 8: XAI in Computation of Complex Remote Sensing Data
Chapter 9: Multi-source Remote Sensing data fusion using XAI
Chapter 10: Accuracy Assessment Metrics for XAI in Remote Sensing
Chapter 11: XAI in Climate Change Monitoring: A Case Study
Chapter 12: Agricultural Applications of XAI in Remote Sensing: A Case Study
Chapter 13: XAI in Disaster Management and Early Warning Systems: A Case Study
Chapter 14: Urban and Land Use Planning with XAI: A Case Study
Chapter 15: XAI in Ocean/Atmospheric Observation: A Case Study
Chapter 16: XAI for Snow Cover Monitoring in Earth Observation: A Case Study
Chapter 17: Emerging Trends and Application of XAI for Remote Sensing
Chapter 18: Policy and Ethical Frameworks for XAI in Remote Sensing
Chapter 19: XAI and Real-Time Earth Observation Systems
Chapter 20: XAI and Autonomous Systems in Remote Sensing
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