000			02185cam a2200325Ii 4500
001			9780429089398
008			180331t20162016fluad ob 001 0 eng d
020			_a9780429089398 _q(e-book : PDF)
020			_z9781482217865 _q(hardback)
024	7		_a10.1201/b19294 _2doi
035			_a(OCoLC)927491734
040			_aFlBoTFG _cFlBoTFG _erda
050		4	_aG70.4 _b.R49 2016
082	0	4	_a621.36780285 _bR389
245	0	0	_aRemotely sensed data characterization, classification, and accuracies / _cedited by Prasad S. Thenkabail, PhD United States Geological Survey (USGS).
264		1	_aBoca Raton : _bTaylor & Francis, _c[2016]
264		4	_c©2016
300			_a1 online resource
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	0		_aRemote sensing handbook ; _vvolume I
504			_aIncludes bibliographical references and indexes.
505	0		_asection 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.
650		0	_aRemote sensing _xData processing. _915221
700	1		_aThenkabail, Prasad Srinivasa, _d1958- _eeditor. _915222
776	0	8	_iPrint version: _z9781482217865 _w(DLC) 2014050332
856	4	0	_uhttps://www.taylorfrancis.com/books/9781482217872 _zClick here to view.
942			_cEBK
999			_c70914 _d70914