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portada Supervised Learning in Remote Sensing and Geospatial Science
Type
Physical Book
Year
2025
Pages
432
Format
Paperback
Dimensions
27.6x21.6 cm
ISBN13
9780443293061

Supervised Learning in Remote Sensing and Geospatial Science

Aaron E Maxwell;Yaqian He;Christopher Ramezan (Author) · Elsevier - Health Sciences Division · Paperback

Supervised Learning in Remote Sensing and Geospatial Science - Aaron E Maxwell;Yaqian He;Christopher Ramezan

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Synopsis "Supervised Learning in Remote Sensing and Geospatial Science"

Supervised Learning in Remote Sensing and Geospatial Science is an invaluable resource focusing on practical applications of supervised learning in remote sensing and geospatial data science. Emphasizing practicality, the book delves into creating labeled datasets for training and evaluating models. It addresses common challenges like data imbalance and offers methods for assessing model performance. This guide bridges the gap between theory and practice, providing tools and techniques for extracting actionable information from raw geospatial data. The book covers all aspects of supervised learning workflows, including preparing diverse remotely sensed and geospatial data inputs. It equips researchers, practitioners, and students with essential knowledge for applied mapping and modeling tasks, making it an indispensable reference for advancing geospatial science.

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