Deep Learning for Earth Observation and Climate Monitoring

Name: Deep Learning for Earth Observation and Climate Monitoring
Brand: ELSEVIER
Price: 473.9 AUD
Availability: BackOrder

By: Hao Tang (Editor), Yong Wang (Editor), Uzair Aslam Bhatti (Editor), Mir Muhammad Nizamani (Editor)

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Paperback | 18 April 2025

At a Glance

Paperback
350 Pages

Dimensions(cm)
22.9 x 15.2

Paperback

$473.90

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Available for Backorder. We will order this from our supplier however there isn't a current ETA.

Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring. This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies.

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