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 .
<br/><br/>Includes bibliographical references and indexes. 
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9780429089398 
<br/><br/><label>Standard No.: </label>10.1201/b19294   doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Remote sensing--Data processing.
<br/><br/><label>LC Class. No.: </label>G70.4  / .R49 2016 
<br/><br/><label>Dewey Class. No.: </label>621.36780285  / R389