Seagrass beds/meadows are very productive ecosystems with high biodiversities. However, they have been degraded
under high pressures of human activities. Combining depth-invariance index and ground-truthing, distribution of
seagrass beds in Cam Ranh Bay was identified by analyses of multi-remote sensing images such as LANDSAT, SPOT
and ALOS AVNIR-2. Although coverage of seagrass meadows was1178 ha, the seagrass meadows were being degraded
by illegal fishing methods, aquaculture and discharges from industries and living domestics. The reducing ratio of
seagrass coverage has been increased in recent years. While the depth-invariance index method would help to detect the
areas of seagrass beds, this method requires combination of field trip and absorption library methods to increase
classification accuracy. Final maps of the status and changes of seagrass beds could help to integrate the sustainable
development of economy with protection of natural resources.
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