2nd Edition

Remote Sensing Handbook, Volume II Image Processing, Change Detection, GIS, and Spatial Data Analysis

Edited By Prasad S. Thenkabail Copyright 2025
506 Pages 181 Color & 35 B/W Illustrations
by CRC Press

506 Pages 181 Color & 35 B/W Illustrations
by CRC Press

Volume II of the Six Volume Remote Sensing Handbook , Second Edition, is focused on digital image processing including image classification methods in land cover and land use. It discusses object-based segmentation and pixel-based image processing algorithms, change detection techniques, and image classification for a wide array of applications including land use/land cover, croplands, urban... Read more

Part I: Image Processing Methods and Approaches

 1. Digital Image Processing: A Review of the Fundamental Methods and Techniques

Sunil Narumalani and Paul Merani

 2. Image Classification Methods in Land Cover and Land Use and Cropland Studies

Mutlu Ozdogan

 3. Urban Image Classification: Per-pixel Classifiers, Sub-pixel Analysis, Object-based Image Analysis, and Geospatial Methods

Soe W. Myint, Victor Mesev, Dale Quattrochi, et al.

4. Hyperspectral Image Processing: Methods and Approaches

Jun Li and Antonio Plaza

 5. Collaborative Representation for Hyperspectral Image Classification and Detection

Qian Du, Chiranjibi Shah, Hongjun Su, et al. 

 6. Thermal Infrared Remote Sensing: Principles and Theoretical Background

Claudia Kuenzer, Philipp Reiners, Jianzhong Zhang,et al. 

 7. Remote Sensing Image Segmentation: Methods, Approaches, and Advances

Mohammad D. Hossain and Dongmei Chen

 8. Object Based Image Analysis: Evolution, History, State-of-the-Art and Future Vision

Thomas Blaschke, Maggi Kelly, and Helena Merschdorf

 9. Geospatial Data Integration in OBIA- implications of Accuracy and Validity

Stefan Lang and Dirk Tiede

 10. Image Segmentation Algorithms for Land Categorization

James C. Tilton, Selim Aksoy, and Yuliya Tarabalka

 11. LiDAR Data Processing and Applications

Shih-Hong Chio, Tzu-Yi Chuang, Pai-Hui Hsu,et al. 

 Part II: Change Detection

 12. Forest Clear-Cutting Detection in Subtropical Regions with Time Series Remotely Sensed Data

Guiying Li, Mingxing Zhou, Ming Zhang, et al.

 Part III: Integrating Geographic Information Systems (GIS) and Remote Sensing in Spatial Modeling Framework for Decision Support

 13. Geoprocessing, Workflows, and Provenance

Jason A. Tullis, David P. Lanter, Aryabrata Basu, et al. 

 14. Toward Democratization of Geographic Information: GIS, Remote Sensing, and GNSS Applications in Everyday Life

Gaurav Sinha, Barry J. Kronenfeld, and Jeffrey C. Brunskill

 15. Frontiers of GIScience: Evolution, State-of-Art, and Future Pathways

May Yuan

 16. Object-Based Regionalization for Policy-Oriented Partitioning of Space

Stefan Lang, Stefan Kienberger, Michael Hagenlocher, et al.

 Part IV: Summary and Synthesis of Volume 2

17. Remote Sensing Handbook, Volume II: Image Processing, Change Detection, GIS and Spatial Data Analysis

Prasad Thenkabail

Biography

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).

The chapters in Remote Sensing Handbook are written by leading remote sensing scientists of the world and ably edited by Prasad S. Thenkabail, Senior Scientist, at U.S. Geological Survey (USGS) in Flagstaff, Arizona.  The importance and the value of the Remote Sensing Handbook is clearly demonstrated by the need for a second edition. The Remote Sensing Handbook (First Edition, Volumes I-III) was published in 2014 and now after 10 years Remote Sensing Handbook, Second Edition, (Volumes I-VI) with 91 Chapters and nearly 3500 pages will be published.  It is certainly monumental work in remote sensing science and for this I want to compliment Dr. Prasad Thenkabail. Remote sensing is now important to a large number of scientific disciplines beyond our community, and I recommend the Remote Sensing Handbook, Second Edition, Six Volume Set, to not only remote sensers but to the entire scientific community.

Dr. Compton Jim Tucker, Senior Scientist, Hydrospheric and Biospheric Laboratory, NASA Goddard Space Flight Center (GSFC), USA

 

It is not often that a Remote Sensing ‘Handbook’ containing rich and diverse contributions from some of the best researchers worldwide is compiled and published. So please take note that The Remote Sensing Handbook, Second Edition, edited by Dr Prasad S. Thenkabail has landed. This book contains everything you need to know to become a remote sensing scientist. The principles, the different wavelengths, the considerations to take into account for cloud processing, calibration and validation considerations and all the domain application areas you can possibly consider; some of which I was not even aware of, are all in there. Chapters of the book delve into topics such as space law and data for policy applications. Thank you to the authors for their contributions and commitment to ensure that this book becomes a very useful resource for researchers and students as the subject of Remote Sensing moves ahead with great pace into the 2nd quarter of the 21st Century.

Prof. Kevin J. Tansey, Editor-in-Chief, International Journal of Remote Sensing and Professor of Remote Sensing, University of Leicester, UK

 

This six-volume, Second Edition of the Remote Sensing Handbook provides a collection of chapters covering the gamut of remote sensing topics and applications. The chapters are written by many well-known members of the international remote sensing community, offering diverse perspectives on this rapidly developing discipline. The Handbook will be useful for students and practitioners alike. This compilation is a major undertaking and I congratulate Dr. Prasad Thenkabail on its completion.

Prof. Chris Justice, University of Maryland College Park, USA

 

Dr. Thenkabail and his colleagues do a brilliant job of condensing nearly 60 years of research and developments in remote sensing into a six-volume compendium. Interested in remote sensing, invest in this handbook!

Dr. Ramakrishna Nemani, Senior Earth scientist with the Advanced Supercomputing division at NASA Ames Research Center (retired), and Chief Developed of NASA Earth Exchange (NEX) platform

 

The second edition of the Remote Sensing Handbook is an impressive collection of 91 chapters in 6 volumes written by some of the best known and most active remote sensing scientists of our time. It is a vast expansion from its first edition of 3 volumes in 2015 and comprehensively covers all the major fields of remote sensing science, including sensors, image processing, information retrieval and a wide range of applications to ecology, agriculture, forestry, urban environment, water resources, climate change, etc. It allows students, scientists, professionals and practitioners to catch up with the rapid development in remote sensing technology, methodology and applications over the past decade. Dr. Prasad S. Thenkabail, a world-renowned remote sensing scientist, is highly commended for undertaking the daunting task of formulating and editing this large collection as the sole editor-in-chief. His 40-year experience in various remote sensing fields makes him well suited for this task.

Dr. Jing M. Chen, Editors-in-Chief of Remote Sensing of Environment, Professor, CRC, FRSC, University of Toronto, Canada