Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/10412
Title: Imaging Spectrometry and Vegetation Science
Contributor(s): Kumar, Lalit (author)orcid ; Schmidt, Karin (author); Dury, Steve (author); Skidmore, Andrew (author)
Publication Date: 2001
DOI: 10.1007/978-0-306-47578-8_5
Handle Link: https://hdl.handle.net/1959.11/10412
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.
Publication Type: Book Chapter
Source of Publication: Imaging Spectrometry: Basic Principles and Prospective Applications, p. 111-155
Publisher: Kluwer Academic Publishers
Place of Publication: The Netherlands
ISBN: 9780306475788
9781402001949
0306475782
1402001940
Field of Research (FOR): 090903 Geospatial Information Systems
090905 Photogrammetry and Remote Sensing
050206 Environmental Monitoring
HERDC Category Description: B1 Chapter in a Scholarly Book
Other Links: http://nla.gov.au/anbd.bib-an23376673
Series Name: Remote Sensing and Digital Image Processing
Series Number : 4
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Appears in Collections:Book Chapter

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