Paper
19 December 2008 Geomorphological diversity of Dong-Sha Atoll based on spectrum and texture analysis in high resolution remote sensing imagery
Author Affiliations +
Proceedings Volume 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters; 71500G (2008) https://doi.org/10.1117/12.804836
Event: SPIE Asia-Pacific Remote Sensing, 2008, Noumea, New Caledonia
Abstract
Coral reefs are complex marine ecosystems that are constructed and maintained by biological communities that thrive in tropical oceans. The Dong-Sha Atoll is located at the northern continental margin of the South China Sea. It has being abused by destructive activity of human being and natural event during recent decades. Remote sensing offers a powerful tool for studying coral reef geomorphology and is the most cost-effective approach for large-scale reef survey. In this paper, the high-resolution Quickbird2 imageries which covered the full atoll are used to categorize the current distribution of coral reefs geomorphological structure therein with the auxiliary SPOT5 and ASTER imageries. Spectral and texture analysis are used to distinguish the geomorphological diversity during data processing. The Gray Level Co-occurrence Matrices is adopted for texture feature extraction and atoll geomorphology mapping in the high-resolution pan-color image of Quickbird2. Quickbird2 is considered as the most appropriate image source for coral reefs studies. In the Dong-Sha Atoll, various dynamical geomorphologic units are developed according to wave energy zones. There the reef frame types are classified to 3 different types according as its diversity at the image. The radial structure system is the most characteristic and from high resolution imagery we can distinguish the discrepancy between them.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianyu Chen, Zhihua Mao, and Xianqiang He "Geomorphological diversity of Dong-Sha Atoll based on spectrum and texture analysis in high resolution remote sensing imagery", Proc. SPIE 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters, 71500G (19 December 2008); https://doi.org/10.1117/12.804836
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KEYWORDS
Remote sensing

Satellites

Image resolution

Satellite imaging

Earth observing sensors

Ecosystems

Reflection

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