Explainable AI for Earth Observation Data Analysis Applications, Opportunities, and Challenges

1. Towards Explainable Geospatial AI

 Alok Porwal, Palle Pranay Reddy, Arun PV et al.

 2. Explainable AI Methods: Challenges and Opportunities for EO Data Analysis

 K. Venkatraman, P Vishwanath, Arun PV et al.

 3. Explainable EO Data Pre-processing: Challenges and the Way Forward

 Ameya Ramteke and Arun PV

 4. Explainable Feature Engineering for EO Data Analysis

 Soorya Suresh, Arun PV, and Alok Porwal

 5. Towards Explainable Discriminative Models for EO Data Analysis

 Ravikumar Yenni and Arun PV

 6. Towards Explainable Generative Models for EO Data Analysis

 K. Venkatraman, P Vishwanath, Arun PV et al.

 7. Earth Observation Data Analytics: Explainable AI (XAI) Strategies

 Ujwala Bharambe, Kaushal Patil, and Manimala Mahato

 8. Towards Correlating Deep Learning Models with Physics-based Models

 Rithikha R, Arun PV, Alok Porwal et al.

 9. Explainable Ante-hoc Approaches for EO Data Analysis: Opportunities and Challenges

 Maitreya Mohan Sahoo, Ittai Herrmann, and Arun PV

 10. Explainable Post-hoc Approaches for EO Data Analysis: Opportunities and Challenges

  K. Venkatraman, P Vishwanath, Arun PV et al.

 11. Bridging Online Learning and Explainability in Image Classification

  Adarsh N L, Arun PV, and B Krishna Mohan

 12. A Novel Metric for Evaluating Interpretable Machine Learning Algorithms for Hyperspectral Image Classification

 Sandeepan Dhoundiyal, Arun P V, and Alok Porwal

 13. Benchmark Datasets for EO Data Explainability

 Rashmi Kumari and Kuldeep Chaurasia

 14. Soil Organic Carbon Prediction Using Explainable AI and VNIR Lab Spectroscopy

 Chirag Rajendra Ternikar, Suchismita Subhadarsini, Sadbodh Sharma et al.

 15. Future Trends in Explainable AI for Geospatial Applications

  R. Satya Rajendra Singh, Arun P V and B.Krishna Mohan

Biography

Arun PV is Assistant Professor at Indian Institute of Information Technology, Sricity, Chittoor, India. He leads the spatial data analytics and machine intelligence group. He has a PhD from IIT Bombay and has expertise in deep learning and remote sensing data analytics. He has over 15 years of research experience and has published over 70 publications in international journals and conference proceedings.

Jocelyn Chanussot is Professor of Signal and Image Processing at the Grenoble Institute of Technology in Grenoble, France. Chanussot was nominated as a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012 for his contributions to data fusion and image processing for remote sensing where he currently serves as an Editor-in-Chief

B Krishna Mohan is Professor at the Indian Institute of Technology, Bombay, India. From 2016 to 2019 he was the Head of the Centre and Institute’s Chair Professor. He has authored over 150 publications in journals, book chapters, and conference proceedings. He also has led over 45 national and international sponsored projects. Prof. Mohan is the recipient of the Indian Society of Remote Sensing National Geospatial Award for Excellence in 2012.

D. Nagesh Kumar has been Professor in the Department of Civil Engineering, at the Indian Institute of Science, Bangalore, India since May 2002. He is a Fellow of the Indian Academy of Sciences, Bangalore. He is the co-author of 8 books and has published more than 220 papers including 131 in peer reviewed journals. He is the Editor-in-Chief of a journal on climate change and water and the Associate Editor for a journal on Hydraulic Engineering.

Alok Porwal is Professor at the Indian Institute of Technology, Bombay, India. He specializes in Earth Observation data processing and analysis. From 2021-2024 he was the Head of the Centre and the Institute Chair Professor. He is currently an Editor of an academic journal and has authored over 200 publications in journals, book chapters, and conference proceedings. He has also led over 20 national and international sponsored projects. He is the recipient of SP Sukhatme Award for Excellence.