Paper
21 November 2012 Seagrass mapping using ALOS AVNIR-2 data in Lap An Lagoon, Thua Thien Hue, Viet Nam
Ha Nam Thang, Kunihiko Yoshino, Tong Phuoc Hoang Son
Author Affiliations +
Proceedings Volume 8525, Remote Sensing of the Marine Environment II; 85250S (2012) https://doi.org/10.1117/12.977188
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan
Abstract
Seagrass canopy plays a critical role in the ecological functions of coastal zones. They supply nursery and juvenile habitats for fisheries, stabilize sediment and provide direct food for dugongs and green turtles. Lap An is the semienclosed lagoon in the South of Thua Thien Hue province with a large area of mangrove and seagrass. This lagoon significantly supports local aquaculture, and is highly important nursery for economic fisheries. However, the reclamation activities of local farmers have disturbed the aquatic habitats, and diminished the seagrass canopy (more than 60% has disappeared from the lagoon). The objective of this research is to detect the distribution of the seagrass, and propose a seagrass-based protected area for conservation purposes. ALOS AVNIR 2 data was utilized to detect the scattered small patches of seagrass. The use of water column correction, principle component analysis, neural network algorithm and ground control points in the field were undertaken to enhance the classification accuracy of the study. This research provides a new approach for detecting seagrass meadows, and contribute toward better integrated management of the coastal zones.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ha Nam Thang, Kunihiko Yoshino, and Tong Phuoc Hoang Son "Seagrass mapping using ALOS AVNIR-2 data in Lap An Lagoon, Thua Thien Hue, Viet Nam", Proc. SPIE 8525, Remote Sensing of the Marine Environment II, 85250S (21 November 2012); https://doi.org/10.1117/12.977188
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Cited by 4 scholarly publications.
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KEYWORDS
Neodymium

Associative arrays

Neural networks

Reflectivity

Remote sensing

Evolutionary algorithms

Image classification

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