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Abstract

The automatic detection and analysis of coastline and islet area through image processing show that the average errors of coastline mapping and islet area estimation derived from SPOT imagery are around 5% while the errors of ten islets are around 10%. There are three case studies through imagery analysis on SPOT 5: short wave infrared (SWIR) imagery, SPOT 1 multispectral (abbreviated as XS) and near infrared (NIR). The results from these studies indicate that using SWIR imagery for coastline mapping and islet area estimation is better than using the XS or the NIR. In addition to processing updated information quickly, remote sensing of land resources can also control and manage land resources effectively. Also, the results of this study highlight the traffic of reefs and encourages safe navigation through them. It can also spark new topics of research into marine ecology, marine environment, and fishery.

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