Andréfouet, Serge, Kramer, Philip, Torres-Pulliza, Damaris, Joyce, Karen E., Hochberg, Eric J., Garza-Pérez, Rodrigo, Mumby, Peter J., Riegl, Bernhard, Yamano, Hiroya, White, William H., Zubia, Mayalen, Brock, John C., Phinn, Stuart R., Naseer, Abdulla, Hatcher, Bruce G., and Muller-Karger, Frank E. (2003) Multi-site evaluation of IKONOS data for classification of tropical coral reef environments. Remote Sensing of Environment, 88 (1-2). pp. 128-143.

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Abstract

Ten IKONOS images of different coral reef sites distributed around the world were processed to assess the potential of 4-m resolution multispectral data for coral reef habitat mapping. Complexity of reef environments, established by field observation, ranged from 3 to 15 classes of benthic habitats containing various combinations of sediments, carbonate pavement, seagrass, algae, and corals in different geomorphologic zones (forereef, lagoon, patch reef, reef flats). Processing included corrections for sea surface roughness and bathymetry, unsupervised or supervised classification, and accuracy assessment based on ground-truth data. IKONOS classification results were compared with classified Landsat 7 imagery for simple to moderate complexity of reef habitats (5–11 classes). For both sensors, overall accuracies of the classifications show a general linear trend of decreasing accuracy with increasing habitat complexity. The IKONOS sensor performed better, with a 15–20% improvement in accuracy compared to Landsat. For IKONOS, overall accuracy was 77% for 4–5 classes, 71% for 7–8 classes, 65% in 9–11 classes, and 53% for more than 13 classes. The Landsat classification accuracy was systematically lower, with an average of 56% for 5–10 classes. Within this general trend, inter-site comparisons and specificities demonstrate the benefits of different approaches. Pre-segmentation of the different geomorphologic zones and depth correction provided different advantages in different environments. Our results help guide scientists and managers in applying IKONOS-class data for coral reef mapping applications.

Item ID:	40926
Item Type:	Article (Research - C1)
ISSN:	1879-0704
Keywords:	Landsat; bathymetric correction; glint; accuracy; habitat mapping; seagrass
Funders:	National Aeronautics and Space Administration (NASA)
Projects and Grants:	NASA NAG5-10908, NASA NAG-3446
Date Deposited:	21 Oct 2015 02:42
FoR Codes:	09 ENGINEERING > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing @ 50% 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050206 Environmental Monitoring @ 50%
SEO Codes:	96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960507 Ecosystem Assessment and Management of Marine Environments @ 100%
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