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Remote Sensing Handbook, Volume I: Sensors, Data Normalization, Harmonization, Cloud Computing, and Accuracies 2nd edition [Pehme köide]

Edited by (United States Geological Survey (USGS), Flagstaff, AZ)
  • Formaat: Paperback / softback, 582 pages, kõrgus x laius: 254x178 mm, 60 Tables, black and white; 113 Line drawings, color; 36 Line drawings, black and white; 53 Halftones, color; 8 Halftones, black and white; 166 Illustrations, color; 44 Illustrations, black and white
  • Sari: Remote Sensing Handbook
  • Ilmumisaeg: 22-Jun-2026
  • Kirjastus: CRC Press
  • ISBN-10: 1032890967
  • ISBN-13: 9781032890968
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  • Formaat: Paperback / softback, 582 pages, kõrgus x laius: 254x178 mm, 60 Tables, black and white; 113 Line drawings, color; 36 Line drawings, black and white; 53 Halftones, color; 8 Halftones, black and white; 166 Illustrations, color; 44 Illustrations, black and white
  • Sari: Remote Sensing Handbook
  • Ilmumisaeg: 22-Jun-2026
  • Kirjastus: CRC Press
  • ISBN-10: 1032890967
  • ISBN-13: 9781032890968
Volume I of the Six Volume Remote Sensing Handbook, Second Edition, is focused on satellites and sensors including radar, light detection and ranging (LiDAR), microwave, hyperspectral, unmanned aerial vehicles (UAVs), and their applications. It discusses data normalization and harmonization, accuracies, and uncertainties of remote sensing products, global navigation satellite system (GNSS) theory and practice, crowdsourcing, cloud computing environments, Google Earth Engine, and remote sensing and space law. 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 remote sensing science. Discusses and analyzes data from old and new generations of satellites and sensors. Provides comprehensive methods and approaches for remote sensing data normalization, standardization, and harmonization. Includes numerous case studies on advances and applications at local, regional, and global scales. 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 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.

Arvustused

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

Part I: Earth Observing Satellites and Sensors from Different Eras and
their Characteristics.
1. Remote Sensing Satellites and Sensors: Optical,
Radar, LiDAR, Microwave, Hyperspectral, and UAVs. Part II: Global Navigation
Satellite Systems (GNSS) and their Characteristics
2. Global Navigation
Satellite Systems Theory and Practice: Evolution, State of Art, and Future
Pathways.
3. Global Navigation Satellite System Reflectometry for Ocean and
Land Applications.
4. Global Navigation Satellite Systems (GNSS) for a Wide
Array of Terrestrial Applications. Part III: Fundamentals of Remote Sensing:
Evolution, State-of-Art, and Future Possibilities.
5. Fundamentals of Remote
Sensing for Terrestrial Applications: Evolution, Current State of Art, and
Future Possibilities. Part IV: Data Normalization, Harmonization, and
Inter-Sensor Calibration.
6. Overview of Satellite Image Radiometry in the
Solar-Reflective Optical Domain.
7. Post-Launch Radiometric Calibration of
Satellite-Based Optical Sensors with Emphasis on Terrestrial Reference
Standard Sites.
8. Remote Sensing Data Normalization.
9. Satellite Data
Degradations and their Impacts on High Level Products. Part V: Vegetation
Index Standardization and Cross Calibration of Data from Multiple Sensors.
10. Inter- and Intra-sensor Spectral Compatibility and Calibration of the
Enhanced Vegetation Indices.
11. Towards Standardisation of Vegetation
Indices. Part VI: Crowdsourcing of Remote Sensing Data.
12. Crowdsourcing and
Remote Sensing: Combining Two Views of the Earth. Part VII: Cloud Computing
and Remote Sensing.
13. Processing Remote Sensing Data in Cloud Computing
Environments.
14. Cloud Computing in Remote Sensing: A Comprehensive
Assessment of State of Arts. Part VIII: Google Earth for Remote Sensing.
15.
The Legacy of Google Earth in Remote Sensing. Part IX: Accuracies, Errors,
and Uncertainties of Remote Sensing Derived Products.
16. Assessing
Positional and Thematic Accuracies of Maps Generated from Remotely Sensed
Data. Part X: Remote Sensing Law.
17. Remote Sensing Law: An Overview of its
Development and its Trajectory in the Global Context. Part XI: Summary and
Synthesis of Volume I.
18. Remote Sensing Handbook, Volume I: Sensors, Data
Normalization, Harmonization, Cloud Computing, and Accuracies.
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 worlds 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).