Satellite observation of Keppel Islands (Great Barrier Reef) 2002 coral bleaching using IKONOS data

被引:0
|
作者
Christopher D. Elvidge
John B. Dietz
Ray Berkelmans
Serge Andréfouët
William Skirving
Alan E. Strong
Benjamin T. Tuttle
机构
[1] NOAA National Geophysical Data Center,Cooperative Institute for Research in the Atmosphere
[2] Colorado State University,Institute for Marine Remote Sensing, College of Marine Science
[3] Australian Institute of Marine Science and the CRC Reef Research Center,Cooperative Institute for Research in the Atmosphere
[4] University of South Florida,Cooperative Institute for Research in Environmental Sciences
[5] Colorado State University (NOAA-NESDIS Office of Research and Applications),undefined
[6] NOAA NESDIS Office of Research and Applications,undefined
[7] University of Colorado,undefined
[8] UR Coreus—Institut de Recherche pour la Développement (IRD),undefined
来源
Coral Reefs | 2004年 / 23卷
关键词
Coral bleaching; Remote sensing; Change detection;
D O I
暂无
中图分类号
学科分类号
摘要
An examination of IKONOS satellite imagery of the Keppel Islands (Great Barrier Reef) acquired before and during a coral bleaching event indicates that severe bleaching of reefs can be detected as an increase in brightness in the band 1 (blue) and band 2 (green) IKONOS spectral bands (4-m resolution). The bleaching was not detected in band 3 (red), band 4 (near-infrared), or in the 1-m panchromatic band data. A total of 0.74 km2 of bleached coral was identified, with detection occurring in waters as deep as 15 m. The procedure requires that one of the scenes be radiometrically normalized to match the reference scene prior to image differencing. A relative radiometric normalization was used in this case because variable cloud cover present in the image acquired during the bleaching event prevented reliable modeling of atmospheric effects. The success at coral bleaching detection at Keppel Islands represents both a “best-case” and a “cloud-challenged” scenario. It was a best-case scenario in that coral cover was extensive (70–90% live coral cover, mostly acroporids) and the bleaching level was extreme (92–95% of coral cover white bleached). It was a cloud-challenged scenario in terms of having extensive and highly variable cloud cover present in the image acquired during the bleaching event. Color difference images reveal extensive areas of bleached coral at sites away from our study area, indicating that this platform and methodology may be a valuable tool for mapping high coral cover areas during bleaching events. Additional studies and technique refinements would be required to test the detection limits of bleaching with IKONOS imagery or to develop a spectrally based bleaching detection index.
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页码:123 / 132
页数:9
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