Generative AI for remote sensing of the environment : algorithms and applications / edited by Vishakha Sood, Arun Lal Srivastav, Ravneet Kaur, Neha Bhati.

Format:

Book

Contributor:

Sood, Vishakha, editor.

Srivastav, Arun Lal, 1984- editor.

Kaur, Ravneet, editor.

Bhati, Neha, editor.

Taylor & Francis eBooks

Language:

English

Subjects (All):

Environmental monitoring--Remote sensing.

Environmental monitoring.

Environmental sciences--Remote sensing.

Environmental sciences.

Generative artificial intelligence.

Physical Description:

1 online resource : illustrations

Edition:

First edition.

Other Title:

Generative artificial intelligence for remote sensing of the environment : algorithms and applications

Place of Publication:

Boca Raton, FL : CRC Press, 2026.

Contents:

PART I Introduction to Gen AI. 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

PART II Applications and Case Studies of Gen AI in Remote Sensing. 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, Mohamed Ali Triki, Fathi Ben Amar, and Monia Ennouri ; 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

PART III. Resources, Challenges, and the Future of Gen AI in Remote Sensing. Chapter 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 ; Challenges with Practical Solutions and Case Studies /Souvik Das and M Hemakumar Reddy ; Future Trends and Innovations in AI and Remote Sensing / Rupinder Singh, Jarnail Singh, Amanpreet Singh, and Jaswinder Singh.

Notes:

Includes bibliographical references and index.

Electronic reproduction. London Available via World Wide Web.

Online resource; title from PDF title page (Taylor & Francis, viewed April 23, 2026).

Other Format:

Print version: Generative AI for remote sensing of the environment.

Print version:

ISBN:

9781040645673

1040645674

9781003616207

1003616208

9781040562321

1040562329

Publisher Number:

90104275672

CIPO000359809

Access Restriction:

Restricted for use by site license.