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RECORD NUMBER: 9 OF 9

OLS Field Name OLS Field Data
Main Title Remotely sensed data characterization, classification, and accuracies /
Type EBOOK
Other Authors
Author Title of a Work
Thenkabail, Prasad Srinivasa,
Publisher Taylor & Francis,
Year Published 2016
Call Number G70.4.R49 2016
ISBN 9781482217872 (e-book : PDF); 9781482217865 (hardback)
Subjects Remote sensing--Data processing.
Internet Access
Description Access URL
https://www.taylorfrancis.com/books/9781482217872
Collation 1 online resource : text file, PDF.
Notes Includes bibliographical references and indexes.
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes 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.
Place Published Boca Raton
Access Notes Also available in print format.
PUB Date Free Form 2016
Series Title Untraced Remote sensing handbook ; volume I
BIB Level m
Medium computer
Content text
Carrier online resource
Cataloging Source RDA
OCLC Time Stamp 20151120123145
Language eng
Origin CRCPRESS
Type EBOOK
OCLC Rec Leader 02346cam a2200349Ii 45