Mangrove analysis using ALOS imagery in Hai Phong City, Vietnam

Pham Tien Dat, Kunihiko Yoshino

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

6 Citations (Scopus)

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
Original languageEnglish
Title of host publicationProceedings of SPIE - Remote Sensing of the Marine Environment II
EditorsRobert J. Frouin , Naoto Ebuchi , Delu Pan , Toshiro Saino
Place of PublicationBellingham, Washington
PublisherSPIE
Pages85250U-1 - 85250U-8
Number of pages8
ISBN (Electronic)9780819492647
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventRemote Sensing of the Marine Environment II - Kyoto, Japan
Duration: 31 Oct 20121 Nov 2012

Publication series

NameProceedings of SPIE
PublisherSPIE
Volume8525
ISSN (Electronic)0277-786X

Conference

ConferenceRemote Sensing of the Marine Environment II
CountryJapan
CityKyoto
Period31/10/121/11/12

Keywords

  • Mangrove analysis
  • Object-based classification
  • supervised classification
  • ALOS imagery
  • Hai Phong

Fingerprint

Dive into the research topics of 'Mangrove analysis using ALOS imagery in Hai Phong City, Vietnam'. Together they form a unique fingerprint.

Cite this