Supervised Learning in Remote Sensing and Geospatial Science (Paperback) (ISBN-13: 9780443293061)

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.

Author: Aaron E. Maxwell,Christopher Ramezan,Yaqian He
ISBN-10: 0443293066
ISBN-13: 9780443293061
Publisher: Elsevier
Language: English
Published: 10/17/2025
Pages: 432
Format: Paperback