Generative AI for Remote Sensing of the Environment Algorithms and Applications

Part I: Introduction to Gen AI

1. Introduction to Generative AI and Its Role in Remote Sensing

Revanth Madamala and Sridevi Sakhamuri

2. Core Concepts of Understanding Generative AI Algorithms and Models

Vaibhavi Chavan and R. Ayswarya

3. The Use of Generative AI in Environmental Remote Sensing

Mohamed A.E. AbdelRahman

4. Vision-Language Models in Remote Sensing: Balancing Geospatial Intelligence with Ethical and Responsible AI Practices

Thota Sivasankar and Varun Narayan Mishra

5. Advanced Large Language Models for Satellite Image Processing

Ezil Sam Leni A, Revathi T, Adrian David Cheok, and Shalen S

6.  Tools and Software Essential Resources for AI Integration

Neha Bhati, Narayan Vyas, and Surendra Yadav

Part II: Applications and Case Studies of Gen AI in Remote Sensing

7.  Remote Sensing Satellite Datasets, Preprocessing Techniques, and Tools for Agricultural Land Cover Classification

Nisha Sharma, Kawaljit Kaur, and Sartajvir Singh

8. Application of Remote Sensing and Artificial Intelligence for Environmental Monitoring

Santanu Mallik, Ruma Debnath, and Sharbari Deb

9. Implementing Artificial Intelligence-Based Algorithms for Sustainable Environmental Monitoring

Karim Ennouri, Mohamed Ali Triki, Fathi Ben Amar, and Monia Ennouri

10.  Data Preparation, Collecting, Cleaning, and Managing Datasets in Generative AI

Vishal Dutt, Sartajvir Singh, and Ganesh Kumar Sethi

11. High-Resolution Soil Erosion Mapping for the Narmada Basin: A RUSLE-Google Earth Engine Synergy

Akash Deep, Rakesh Singh, Shalini Kumari, and Sandeep Kunwar

12.  AI Integration in Agriculture: Tools, Software, and Frameworks for Sustainable Farming

Atiya Khan, C H Patil, Amol D. Vibhute, and Shankar Mali

13.  Agriculture Using Generative AI for Crop Management

Mahesh R and Sakshi Rawat

Part III: Resources, Challenges, and the Future of Gen AI in Remote Sensing

14.  Harnessing AI to Unveil the Future: Modelling and Forecasting Climate Change Effects

Priyanka P. Shinde, Anurag Wazarkar, Pratik Gunjalkar, Tanmay Sawant, and Sanket Babar

15. Challenges with Practical Solutions and Case Studies

Souvik Das and M Hemakumar Reddy

16. Future Trends Innovations in AI and Remote Sensing

Rupinder Singh, Jarnail Singh, Amanpreet Singh, and Jaswinder Singh

Biography

Dr. Vishakha Sood is working as a Scientist at the Indian Institute of Technology, Ropar, Punjab under the Women Scientist Scheme (WOS-A) by the Department of Science and Technology (DST), Govt. of India. She is also the founder of a company named Aiotronics Automation Pvt.Ltd. She has more than 10 years of academic and research experience and received her PhD in Electronics and Communication Engineering from Chitkara University, Punjab in 2020. She has authored more than 15 SCI-indexed articles and SCOPUS indexed book chapters and holds many inventions. Her research interests include satellite sensors, remote sensing, and digital image analysis. She is IEEE Senior Member and active member of various societies such as Indian Society of Remote Sensing (ISRS), and European Geoscience Union (EGU), among others.

Dr Arun Lal Srivastav is an Associate Professor at Chitkara University School of Engineering and Technology in Himachal Pradesh, India. He received his PhD from the Indian Institute of Technology (BHU), Varanasi in water treatment. His research interests include water quality surveillance, climate change, water treatment, river ecosystem, soil health maintenance, etc. He has published over 100 research papers in various prestigious journals and has edited several books. He received the prestigious Teachers Associateship for Research Excellence (TARE) Fellowship and holds 12 patents on multidisciplinary topics granted by the Government of India. 

Ravneet Kaur is working at the Chandigarh University, India and is pursuing her Ph.D. in Computer Science Engineering from Punjabi University, Patiala, Punjab, India. She has more than 15 years of research and teaching experience from Shaheed Udham Singh College of Engineering and Technology, India and Continental Institute of Engineering and Technology, India, and has authored SCI and Scopus Indexed articles and holds several patents. Her area of interest includes image analysis, machine learning, and deep learning.

Neha Bhati is a Research Associate at Flexxited, Bangalore, contributing to pioneering research in Remote Sensing, the Internet of Things (IoT), Machine Learning and Deep Learning. She is a reviewer of journal articles and conference papers.