£121.12

Springer - InSAR and Deep Learning in Landslides Research

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Description

Explore the intersection of satellite technology and artificial intelligence with this specialized research volume from Springer. This book focuses on the application of InSAR and deep learning techniques for landslide studies, providing a technical look at intelligent identification and risk assessment. Designed for professionals and researchers in the fields of computer science and machine learning, the text covers essential methods for susceptibility mapping. By combining remote sensing data with advanced computational models, the content addresses modern challenges in land monitoring and disaster management. This resource is a valuable addition to any academic or professional library focused on AI applications in earth sciences and geological risk assessment.

Key Features

Focuses on the integration of InSAR technology and deep learning for landslide research and monitoring.

Provides technical insights into intelligent identification methods for geological hazards.

Covers advanced approaches to risk assessment and susceptibility mapping techniques.

Published by Springer, ensuring high-quality academic and professional research standards.

Relevant for experts studying AI and machine learning within the context of computer science.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 July 2025
Listed Since
27 May 2025

Barcode

No barcode data available

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