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Can coral reefs be monitored from space?
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2003 (English)In: AMBIO, ISSN 0044-7447, Vol. 32, no 8, 586-593 p.Article in journal (Refereed) Published
Abstract [en]

The dramatic bleaching events on the coral reefs recently have enhanced the need for environmental monitoring. Remote sensing is an important constituent in a system for both local and global monitoring of reefs, and it can be an invaluable complement to field observations. This paper discusses the possibilities and limitations of present high resolution satellites for mapping and monitoring coral reefs and the need for more specific sensors for this purpose in the future. We can assume that the sensors with the best spatial and radiometric resolution available today, e.g. IKONOS, can be useful for local area mapping and for monitoring of coral bleaching, but the cost for those images makes it difficult to use them in global surveys. However, our present coral bleaching studies indicate that massive bleaching could be detected even from satellites with lower resolution, like Landsat, SPOT and IRS, and be used for coarser global mapping and for updating purposes. To monitor in more detail what is happening requires both good spatial resolution and better spectral resolution than the one available in the sensors mentioned above. In the future, it is necessary to have a more reef specific sensor with a few specially selected narrow bands and a good spatial, radiometric and temporal resolution.

Place, publisher, year, edition, pages
2003. Vol. 32, no 8, 586-593 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-46207OAI: oai:DiVA.org:uu-46207DiVA: diva2:74115
Available from: 2005-08-26 Created: 2005-08-26 Last updated: 2016-06-07

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Lindell, Tommy

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