| Contents |
Introduction to generative AI and its role in remote sensing / Revanth Madamala and Sridevi Sakhamuri -- Core concepts of understanding generative AI algorithms and models / Vaibhavi Chavan and R. Ayswarya -- The use of generative AI in environmental remote sensing / Mohamed A.E. AbdelRahman -- Vision-language models in remote sensing : balancing geospatial intelligence with ethical and responsible AI practices / Thota Sivasankar and Varun Narayan Mishra -- Advanced large language models for satellite image processing Ezil Sam Leni A, Revathi T, Adrian David Cheok, and Shalen S -- Tools and software essential resources for AI integration / Neha Bhati, Narayan Vyas, and Surendra Yadav -- Remote sensing satellite datasets, preprocessing techniques, and tools for agricultural land cover classification / Nisha Sharma, Kawaljit Kaur, and Sartajvir Singh -- Application of remote sensing and artificial intelligence for environmental monitoring / Santanu Mallik, Ruma Debnath, and Sharbari Deb -- Implementing artificial intelligence-based algorithms for sustainable environmental monitoring / Karim Ennouri, Fathi Ben Amar, Monia Ennouri, and Mohamed Ali Triki -- Data Preparation, collecting, cleaning, and managing datasets in generative AI / Vishal Dutt, Sartajvir Singh, and Ganesh Kumar Sethi -- High-resolution soil erosion mapping for the narmada basin : a RUSLE-Google Earth engine synergy / Akash Deep, Rakesh Singh, Shalini Kumari, and Sandeep Kunwar -- AI integration in agriculture : tools, software, and frameworks for sustainable farming / Atiya Khan, C H Patil, Amol D. Vibhute, and Shankar Mali -- Agriculture using generative AI for crop management / Mahesh R and Sakshi Rawat -- Harnessing AI to unveil the future : modelling and forecasting climate change effects / Anurag Wazarkar, Pratik Gunjalkar, Tanmay Sawant, Sanket Babar, and Priyanka P. Shinde -- Challenges with practical solutions and case studies / Souvik Das and M Hemakumar Reddy -- Future trends innovations in AI and remote sensing / Rupinder Singh, Jarnail Singh, Amanpreet Singh, and Jaswinder Singh |
| Abstract |
"This book explores the cutting-edge integration of generative AI techniques to enhance environmental remote sensing, providing a comprehensive guide from foundational algorithms to practical applications. It explains how advanced AI technology can be used to improve the way we monitor and understand the environment from a distance, such as through satellites or drones. It starts with an explanation of basic algorithms behind generative AI and gradually moves to complex algorithms showing how they can be applied to real-world environmental issues, such as tracking climate change, monitoring deforestation, and predicting natural disasters"-- Provided by publisher. |
