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Full Description
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.
Contents
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.
