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Elsevier Remote Sensing of Soil and Land Surface Processes Book

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Description

Expand your knowledge of Earth Observation with this comprehensive guide from Elsevier. Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling provides a specialized look at how artificial intelligence and remote sensing work together to map and model natural resources. By using a hybridized approach, this text helps increase the accuracy of image analysis for both soil and landscape studies. This book is designed to help professionals and researchers understand the integration of machine learning and satellite imagery. It covers essential topics such as digital soil mapping, land degradation assessment, and the use of deep learning networks to study land surface processes. Through various case studies, readers can see how these technologies apply to managing natural hazards and monitoring changing environments. Whether you are studying soil science or advanced land surface modeling, this resource offers the technical foundation needed to utilize modern AI tools in the field of Earth Observation.

Key Features

Integrates artificial intelligence and remote sensing techniques to improve the accuracy of image analysis for land surface studies.

Provides a hybridized approach for mapping and modeling natural resources through advanced machine learning applications.

Covers essential technical topics including digital soil mapping and satellite land surface imagery.

Explores the assessment of land degradation and the application of deep learning networks to land surface processes.

Includes practical case studies regarding the use of technology in monitoring natural hazards and landscape changes.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
10 November 2023
Listed Since
24 January 2023

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