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Produktbild: Generative AI for Remote Sensing of the Environment

Generative AI for Remote Sensing of the Environment Algorithms and Applications

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Beschreibung

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 improves the way we monitor and understand the environment from a...

Beschreibung

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 improves the way we monitor and understand the environment from a distance, using satellites and drones.

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

14.04.2026
Abbildungen

schwarz-weiss Illustrationen, farbige Illustrationen, Raster,schwarz-weiss, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss
Herausgeber Vishakha Sood + weitere

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

14.04.2026
Abbildungen

schwarz-weiss Illustrationen, farbige Illustrationen, Raster,schwarz-weiss, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss
Herausgeber
Verlag Taylor and Francis
Seitenzahl

324
Maße (L/B/H)

24/16,1/2,2 cm
Gewicht

602 g
Sprache

Englisch
ISBN

978-1-04-101744-8
Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Generative AI for Remote Sensing of the Environment

  • Section A: Introduction to Gen AI. 1. Introduction To Generative AI And Its Role in Remote Sensing. 2. Core Concepts of Understanding Generative AI Algorithms and Models. 3. The Use of Generative AI in Environmental Remote Sensing. 4. Vision-Language Models in Remote Sensing: Balancing Geospatial Intelligence with Ethical and Responsible AI Practices. 5. Advanced Large Language Models for Satellite Image Processing. 6. Tools and Software Essential Resources for AI Integration. Section B: Applications and Case Studies of Gen AI in Remote Sensing. 7. Remote Sensing Satellite Datasets, Preprocessing Techniques, and Tools for Agricultural Land Cover Classification. 9. Implementing Artificial Intelligence-Based Algorithms for Sustainable Environmental Monitoring. 10. Data Preparation, Collecting, Cleaning, and Managing Datasets in Generative AI. 11. High-Resolution Soil Erosion Mapping for the Narmada Basin: A RUSLE-Google Earth Engine Synergy. 12. AI Integration in Agriculture: Tools, Software, and Frameworks for Sustainable Farming. 13. Agriculture Using Generative AI for Crop Management. Section C: Resources, Challenges, and the Future of Gen AI in Remote Sensing. 14. Harnessing AI to Unveil the Future: Modelling and Forecasting Climate Change Effects. 15. Real-World Applications, Success Stories, and Industry Insights. 16. Challenges with Practical Solutions and Case Studies. 17. Future Trends Innovations in AI and Remote Sensing.