Remotely Sensed Data Characterization, Classification, and Accuracies

Part I: Satellites and Sensors from Different Eras and Their Characteristics

Part II: Fundamentals of Remote Sensing: Evolution, State of the Art, and Future Possibilities

Part III: Remote Sensing Data Normalization, Harmonization, and Intersensor Calibration

Part IV: Vegetation Index Standardization and Cross-Calibration of Data from Multiple Sensors

Part V: Image Processing Methods and Approaches

Part VI: Change Detection

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

Part VIII: Global Navigation Satellite Systems (GNSS) Remote Sensing

Part IX: Crowdsourcing and Remote Sensing Data

Part X: Cloud Computing and Remote Sensing

Part XI: Google Earth for Remote Sensing

Part XII: Accuracies, Errors, and Uncertainties of Remote Sensing– Derived Products

Part XIII: Space Law and Remote Sensing

Part XIV: Summary