Remote sensing techniques for mangrove mapping

Green, E. P., Clark, C. D., Mumby, P. J., Edwards, A. J. and Ellis, A. C. (1998) Remote sensing techniques for mangrove mapping. International Journal of Remote Sensing, 19 5: 935-956. doi:10.1080/014311698215801

Author Green, E. P.
Clark, C. D.
Mumby, P. J.
Edwards, A. J.
Ellis, A. C.
Title Remote sensing techniques for mangrove mapping
Journal name International Journal of Remote Sensing   Check publisher's open access policy
ISSN 0143-1161
Publication date 1998-03-01
Year available 1998
Sub-type Article (original research)
DOI 10.1080/014311698215801
Open Access Status Not yet assessed
Volume 19
Issue 5
Start page 935
End page 956
Total pages 22
Place of publication Colchester, Essex, United Kingdom
Publisher Taylor & Francis
Language eng
Abstract Different approaches to the classification of remotely sensed data of mangroves are reviewed, and five different methodologies identified. Landsat TM, SPOT XS and CASI data of mangroves from the Turks and Caicos Islands, were classified using each method. All classifications of SPOT XS data failed to discriminate satisfactorily between mangrove and non-mangrove vegetation. Classification accuracy of CASI data was higher than Landsat TM for all methods, and more mangrove classes could be discriminated. Merging Landsat TM and SPOT XP data improved visual interpretation of images, but did not enhance discrimination of different mangrove categories. The most accurate combination of sensor and image processing method for mapping the mangroves of the eastern Caribbean islands is identified.
Keyword Remote Sensing
Imaging Science & Photographic Technology
Remote Sensing
Imaging Science & Photographic Technology
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Biological Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 154 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 180 times in Scopus Article | Citations
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Created: Wed, 24 Nov 2010, 00:33:22 EST