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 / Sudhanshu S. Panda, Mahesh N. Rao, Prasad S. Thenkabail, et al.

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 / Mohinder S. Grewal
3. Global Navigation Satellite System Reflectometry for Ocean and Land Applications / Kegen Yu, Chris Rizos, and Andrew Dempster
4. Global Navigation Satellite Systems (GNSS) for a Wide Array of Terrestrial Applications / D. Myszor, O. Antemijczuk, M. Grygierek, et al.

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 / Natascha Oppelt and Arnab Muhuri

Part IV: Data Normalization, Harmonization, and Inter-Sensor Calibration
6. Overview of Satellite Image Radiometry in the Solar-Reflective Optical Domain / Philippe M. Teillet
7. Post-Launch Radiometric Calibration of Satellite-Based Optical Sensors with Emphasis on Terrestrial Reference Standard Sites / Philippe M. Teillet and Gyanesh Chander
8. Remote Sensing Data Normalization / Rudiger Gens and Jordi Cristóbal Rosselló
9. Satellite Data Degradations and their Impacts on High Level Products / Aolin Jia and Dongdong Wang

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 / Tomoaki Miura, Kenta Obata, Hiroki Yoshioka,et al.
11. Towards Standardisation of Vegetation Indices / Michael D. Steven, Timothy J. Malthus and Frédéric Baret

Part VI: Crowdsourcing of Remote Sensing Data
12. Crowdsourcing and Remote Sensing: Combining Two Views of the Earth / Fabio Dell’Acqua and Silvio Dell’Acqua

Part VII: Cloud Computing and Remote Sensing
13. Processing Remote Sensing Data in Cloud Computing Environments / Ramanathan Sugumaran, James W. Hegeman, Vivek B. Sardeshmukh, et al.
14. Cloud Computing in Remote Sensing: A Comprehensive Assessment of State of Arts / Lizhe Wang, Jining Yan, Yan Ma, et al.

Part VIII: Google Earth for Remote Sensing
15. The Legacy of Google Earth in Remote Sensing / John E. Bailey and Josh Williams

Part IX: Accuracies, Errors, and Uncertainties of Remote Sensing Derived Products
16. Assessing Positional and Thematic Accuracies of Maps Generated from Remotely Sensed Data / Russell G. Congalton

Part X: Remote Sensing Law
17. Remote Sensing Law: An Overview of its Development and its Trajectory in the Global Context / P.J. Blount

Part XI: Summary and Synthesis of Volume I
18. Remote Sensing Handbook, Volume I: Sensors, Data Normalization, Harmonization, Cloud Computing, and Accuracies / Prasad S. Thenkabail

Dr Prasad S. Thenkabail, Senior Scientist (ST), United States Geological Survey (USGS), is a world-recognised 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 (which includes 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 recognised 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).