This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data,

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Possibly the greatest change confronting the practitioner and student of remote sensing in the period since the first edition of this text appeared in 1986 has

This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also provides a concise and p

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL and Python, Third Edition introduces techniques used in the