Paper
21 November 2012 Mangrove analysis using ALOS imagery in Hai Phong City, Vietnam
Tien Dat Pham, Kunihiko Yoshino
Author Affiliations +
Proceedings Volume 8525, Remote Sensing of the Marine Environment II; 85250U (2012) https://doi.org/10.1117/12.977261
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan
Abstract
Mangroves that appear in the inter-tidal zones along the coast in most tropical and semi-tropical countries play a vital role in coastal zones and can defend against the impacts of tsunamis. Nevertheless, these forests are under severe threat because of high population growth, weak governance, poor planning, as well as uncoordinated economic development. Hai Phong city is located on the Northern coast of Vietnam where the mangroves are distributed between zone I and zone II among the four mangrove zones in Vietnam. This city is vulnerable to rising sea levels and tropical cyclones, which are forecasted to become more severe in coming next decades. The objectives of this research were to analyze the current status of mangroves using different ALOS sensors in Hai Phong, Vietnam in 2010 and compare the accuracy of the post satellite image processing of ALOS imagery in mapping mangroves. A combination of object-based and supervised classification was used to generate the land cover maps. The results of this research indicate that the total area of mangrove was approximately 2,549 hectares and mangrove is present in the five coastal districts in Hai Phong. The findings of this research showed that ALOS AVIR-2 provides better accuracy than ALOS PALSAR. This research indicates the potential of utilizing image segmentation associated with supervised method for both optical and SAR images to map mangrove forests in coastal zones
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tien Dat Pham and Kunihiko Yoshino "Mangrove analysis using ALOS imagery in Hai Phong City, Vietnam", Proc. SPIE 8525, Remote Sensing of the Marine Environment II, 85250U (21 November 2012); https://doi.org/10.1117/12.977261
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Cited by 10 scholarly publications.
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KEYWORDS
Satellites

Image segmentation

Satellite imaging

Synthetic aperture radar

Image processing

Image classification

Analytical research

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