Using remote sensing technique for analyzing temporal changes of seagrass beds by human impacts in waters of Cam Ranh Bay, Vietnam

Phan Minh Thu; Tong Phuoc Hoang Son; Teruhisa Komatsu

doi:10.1117/12.977422

11 December 2012 Using remote sensing technique for analyzing temporal changes of seagrass beds by human impacts in waters of Cam Ranh Bay, Vietnam

Phan Minh Thu, Tong Phuoc Hoang Son, Teruhisa Komatsu

Author Affiliations +

Proceedings Volume 8525, Remote Sensing of the Marine Environment II; 85250T (2012) https://doi.org/10.1117/12.977422
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan

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.

Citation Download Citation

Phan Minh Thu, Tong Phuoc Hoang Son, and Teruhisa Komatsu "Using remote sensing technique for analyzing temporal changes of seagrass beds by human impacts in waters of Cam Ranh Bay, Vietnam", Proc. SPIE 8525, Remote Sensing of the Marine Environment II, 85250T (11 December 2012); https://doi.org/10.1117/12.977422

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