Imaging Spectrometry and Vegetation Science

Title
Imaging Spectrometry and Vegetation Science
Publication Date
2001
Author(s)
Kumar, Lalit
( author )
OrcID: https://orcid.org/0000-0002-9205-756X
Email: lkumar@une.edu.au
UNE Id une-id:lkumar
Schmidt, Karin
Dury, Steve
Skidmore, Andrew
Editor
Editor(s): Freek D van der Meer and Steven M De Jong
Type of document
Book Chapter
Language
en
Entity Type
Publication
Publisher
Kluwer Academic Publishers
Place of publication
Dordrecht, Netherlands
Edition
1
Series
Remote Sensing and Digital Image Processing
DOI
10.1007/978-0-306-47578-8_5
UNE publication id
une:10607
Abstract
Remote sensing is increasingly used for measurements required for accurate determinations of the landscape and the state of agricultural and forested land. With the deployment of early broadband sensors there was a lot of enthusiasm as data, which was previously not feasible to obtain. was now regularly available for large areas of the earth. For the first time vegetation mapping could be undertaken on a large (coarse) scale and the data updated regularly. However. new technologies have shown that while data obtained from broadband sensors have been useful in many respects, they also have their limitations. Because of their limited number of channels and wide bandwidths, a lot of the data about plant reflectance is lost due to averaging.
Link
Citation
Imaging Spectrometry: Basic Principles and Prospective Applications, p. 111-155
ISBN
9780306475788
9781402001949
0306475782
1402001940
Start page
111
End page
155

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