Remote Sensing Handbook, Volume II
Image Processing, Change Detection, GIS, and Spatial Data Analysis
2nd Edition
Published on 29. November 2024
506 pages
978-1-040-19443-0 (ISBN)
Description
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 studies, processing hyperspectral remote sensing data, thermal imagery, light detection and ranging (LiDAR), geoprocessing workflows, frontiers of GIScience, and future pathways. 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. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context.
Features
Provides the most up-to-date comprehensive coverage of digital image processing.
Highlights object-based image analysis (OBIA) and pixel-based classification methods and techniques of digital image processing.
Demonstrates practical examples of image processing for a myriad of applications such as land use/land cover, croplands, and urban.
Establishes image processing using different types of remote sensing data that includes multispectral, radar, LiDAR, thermal, and hyperspectral.
Highlights change detection, geoprocessing, and GIScience.
This volume 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 this book, and their extensive knowledge of new and emerging trends.
Features
Provides the most up-to-date comprehensive coverage of digital image processing.
Highlights object-based image analysis (OBIA) and pixel-based classification methods and techniques of digital image processing.
Demonstrates practical examples of image processing for a myriad of applications such as land use/land cover, croplands, and urban.
Establishes image processing using different types of remote sensing data that includes multispectral, radar, LiDAR, thermal, and hyperspectral.
Highlights change detection, geoprocessing, and GIScience.
This volume 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 this book, and their extensive knowledge of new and emerging trends.
Reviews / Votes
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
More details
Series
Edition
2nd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
44 Tables, black and white; 114 Line drawings, color; 29 Line drawings, black and white; 67 Halftones, color; 6 Halftones, black and white; 181 Illustrations, color; 35 Illustrations, black and white
File size
40,30 MB
ISBN-13
978-1-040-19443-0 (9781040194430)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Prasad S. Thenkabail
Remote Sensing Handbook, Volume II
Image Processing, Change Detection, GIS, and Spatial Data Analysis
Book
11/2024
2nd Edition
CRC Press
€269.60
Shipment within 10-20 days
Person
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).
Content
Part I: Image Processing Methods and Approaches. 1. Digital Image Processing: A Review of the Fundamental Methods and Techniques. 2. Image Classification Methods in Land Cover and Land Use and Cropland Studies. 3. Urban Image Classification: Per-pixel Classifiers, Sub-pixel Analysis, Object-based Image Analysis, and Geospatial Methods. 4. Hyperspectral Image Processing: Methods and Approaches. 5. Collaborative Representation for Hyperspectral Image Classification and Detection. 6. Thermal Infrared Remote Sensing: Principles and Theoretical Background. 7. Remote Sensing Image Segmentation: Methods, Approaches, and Advances. 8. Object Based Image Analysis: Evolution, History, State-of-the-Art and Future Vision. 9. Geospatial Data Integration in OBIA- implications of Accuracy and Validity. 10. Image Segmentation Algorithms for Land Categorization. 11. LiDAR Data Processing and Applications. Part II: Change Detection. 12. Forest Clear-Cutting Detection in Subtropical Regions with Time Series Remotely Sensed Data. Part III: Integrating Geographic Information Systems (GIS) and Remote Sensing in Spatial Modeling Framework for Decision Support. 13. Geoprocessing, Workflows, and Provenance. 14. Toward Democratization of Geographic Information: GIS, Remote Sensing, and GNSS Applications in Everyday Life. 15. Frontiers of GIScience: Evolution, State-of-Art, and Future Pathways. 16. Object-Based Regionalization for Policy-Oriented Partitioning of Space. Part IV: Summary and Synthesis of Volume II. 17. Remote Sensing Handbook, Volume II: Image Processing, Change Detection, GIS and Spatial Data Analysis.
