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Table of Contents
1. Introduction of artificial intelligence in Earth sciences 2. Machine learning for snow cover mapping 3. AI for sea ice forecasting 4. Deep learning for ocean mesoscale eddy detection 5. Artificial intelligence for plant disease recognition 6. Spatiotemporal attention ConvLSTM networks for predicting and physically interpreting wildfire spread 7. AI for physics-inspired hydrology modeling 8. Theory of spatiotemporal deep analogs and their application to solar forecasting 9. AI for improving ozone forecasting 10. AI for monitoring power plant emissions from space 11. AI for shrubland identification and mapping 12. Explainable AI for understanding ML-derived vegetation products 13. Satellite image classification using quantum machine learning 14. Provenance in earth AI 15. AI ethics for earth sciences

Artificial Intelligence in Earth Science

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£127.80

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RRP £142.00 – you save £14.20 (10%)

Order before 4pm today for delivery by Mon 22 Dec 2025.

A Paperback by Ziheng Sun, Nicoleta Cristea, Pablo Rivas

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    View other formats and editions of Artificial Intelligence in Earth Science by Ziheng Sun

    Publisher: Elsevier Science
    Publication Date: 4/26/2023 12:00:00 AM
    ISBN13: 9780323917377, 978-0323917377
    ISBN10: 0323917372
    Also in:
    Computing Artificial intelligence (AI) Earth Sciences, Geography & Environment Geology, geomorphology and the lithosphere

    Description

    Book Synopsis


    Table of Contents
    1. Introduction of artificial intelligence in Earth sciences 2. Machine learning for snow cover mapping 3. AI for sea ice forecasting 4. Deep learning for ocean mesoscale eddy detection 5. Artificial intelligence for plant disease recognition 6. Spatiotemporal attention ConvLSTM networks for predicting and physically interpreting wildfire spread 7. AI for physics-inspired hydrology modeling 8. Theory of spatiotemporal deep analogs and their application to solar forecasting 9. AI for improving ozone forecasting 10. AI for monitoring power plant emissions from space 11. AI for shrubland identification and mapping 12. Explainable AI for understanding ML-derived vegetation products 13. Satellite image classification using quantum machine learning 14. Provenance in earth AI 15. AI ethics for earth sciences

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