Remote Sensing Handbook, Second Edition, Six Volume Set

　　This comprehensive six volume handbook establishes a new standard for spanning and integrating discussion of remote sensing principles, data, methods, development, and applications in a scientific and social context. Advances in remote sensing with the arrival of machine learning, cloud computing, AI, and big data from multiple new generation of sensors are taken into consideration in the new edition along with many new applications of remotely sensed data. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing.

Features

　　• Provides the most up to date comprehensive coverage of remote sensing science.
　　• Discusses and analyzes data from new sensors and new satellites.
　　• Includes numerous case studies on advances and applications at a global scale.
　　• Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI.
　　• Highlights scientific achievements over the last decade and provides guidance for future developments.

　　This set is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision-makers, and policymakers, will benefit from the expertise of the professionals featured in these handbooks, and their extensive knowledge of new and emerging trends.

Dr. Prasad S. Thenkabail, Senior Scientist (ST), United States Geological Survey (USGS), is a world-recognized expert in remote sensing science with major contributions in the field for nearly 40 years. He has made the list of the world’s top 1% of scientists across 22 scientific fields and 176 sub-fields. Dr. Thenkabail has conducted pioneering research in hyperspectral remote sensing of vegetation, global croplands, and their water use for food security. He obtained his PhD from the Ohio State University in 1992 and has 168 peer-reviewed publications including 15 books, including this six-volume set, and over 15 major data releases such as the Landsat-derived global cropland extent product @ 30m and Landsat-derived rainfed and irrigated cropland area product @ 30 m (LGRIP30). He was recognized as a Fellow of the American Society of Photogrammetry and Remote Sensing (ASPRS) in 2023. His scientific papers have won several awards for demonstrating world-class, highest-quality research. He was a Landsat Science Team Member (2007-2011).