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Proceedings Paper

Using remote sensing technique for analyzing temporal changes of seagrass beds by human impacts in waters of Cam Ranh Bay, Vietnam
Author(s): Phan Minh Thu; Tong Phuoc Hoang Son; Teruhisa Komatsu
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Paper Abstract

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.

Paper Details

Date Published: 11 December 2012
PDF: 8 pages
Proc. SPIE 8525, Remote Sensing of the Marine Environment II, 85250T (11 December 2012); doi: 10.1117/12.977422
Show Author Affiliations
Phan Minh Thu, Institute of Oceanography (Viet Nam)
Vietnam Academy of Science and Technology (Viet Nam)
Tong Phuoc Hoang Son, Institute of Oceanography (Viet Nam)
Vietnam Academy of Science and Technology (Viet Nam)
Teruhisa Komatsu, The Univ. of Tokyo (Japan)
Japan Science and Technology Agency (Japan)


Published in SPIE Proceedings Vol. 8525:
Remote Sensing of the Marine Environment II
Robert J. Frouin; Naoto Ebuchi; Delu Pan; Toshiro Saino, Editor(s)

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