Remotely sensed data characterization, classification, and accuracies / edited by Prasad S. Thenkabail, PhD United States Geological Survey (USGS). - 1 online resource - Remote sensing handbook ; volume I .

Includes bibliographical references and indexes.

section 1. Satellites and sensors from different eras and their characteristics -- section 2. Fundamentals of remote sensing : evolution, state of the art, and future possibilities -- section 3. Remote sensing data normalization, harmonization, and intersensor calibration -- section 4. Vegetation index standardization and cross-calibration of data from multiple sensors -- section 5. Image processing methods and approaches -- section 6. Change detection -- section 7. Integrating geographic information systems (GIS) and remote sensing in spatial modeling framework for decision support -- section 8. Global navigation satellite systems (GNSS) remote sensing -- section 9. Crowdsourcing and remote sensing data -- section 10. Cloud computing and remote sensing -- section 11. Google earth for remote sensing -- section 12. Accuracies, errors, and uncertainties of remote sensing-derived products -- section 13. Space law and remote sensing -- section 14. Summary.

9780429089398

10.1201/b19294 doi


Remote sensing--Data processing.

G70.4 / .R49 2016

621.36780285 / R389