Remote Sensing of Soil and Land Surface Processes: Monitoring,
Mapping, and Modeling couples artificial intelligence and remote
sensing for mapping and modeling natural resources, thus expanding
the applicability of AI and machine learning for soils and
landscape studies and providing a hybridized approach that also
increases the accuracy of image analysis. The book covers topics
including digital soil mapping, satellite land surface imagery,
assessment of land degradation, and deep learning networks and
their applicability to land surface processes and natural hazards,
including case studies and real life examples where appropriate.
This book offers postgraduates, researchers and academics the
latest techniques in remote sensing and geoinformation technologies
to monitor soil and surface processes.
General
Imprint: |
Elsevier - Health Sciences Division
|
Country of origin: |
United States |
Series: |
Earth Observation |
Release date: |
November 2023 |
First published: |
2024 |
Editors: |
Assefa M. Melesse
• Omid Rahamati
• Khabat Khsoravi
|
Dimensions: |
229 x 152mm (L x W) |
Pages: |
370 |
ISBN-13: |
978-0-443-15341-9 |
Categories: |
Books
|
LSN: |
0-443-15341-8 |
Barcode: |
9780443153419 |
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