Determination of mangrove change in matang mangrove forest using multi temporal satellite imageries

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Mangrove protects shorelines from damaging storm and hurricane winds, waves, and floods. Mangroves also help prevent erosion by stabilizing sediments with their tangled root systems. They maintain water quality and clarity, filtering pollutants and trapping sediments originating from land. However, mangrove has been reported to be threatened by land conversion for other activities. In this study, land use and land cover changes in Matang Mangrove Forest during the past 18 years (1993 to 2011) were determined using multi-temporal satellite imageries by Landsat TM and RapidEye. In this study, classification of land use and land cover approach was performed using the maximum likelihood classifier (MCL) method along with vegetation index differencing (NDVI) technique. Data obtained was evaluated through Kappa coefficient calculation for accuracy and results revealed that the classification accuracy was 81.25% with Kappa Statistics of 0.78. The results indicated changes in mangrove forest area to water body with 2,490.6 ha, aquaculture with 890.7 ha, horticulture with 1,646.1 ha, palm oil areas with 1,959.2 ha, dry land forest with 2,906.7 ha and urban settlement area with 224.1 ha. Combinations of these approaches were useful for change detection and for indication of the nature of these changes.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
Pages487-492
Number of pages6
Volume1571
DOIs
Publication statusPublished - 2013
Event2013 UKM Faculty of Science and Technology Post-Graduate Colloquium - Selangor
Duration: 3 Jul 20134 Jul 2013

Other

Other2013 UKM Faculty of Science and Technology Post-Graduate Colloquium
CitySelangor
Period3/7/134/7/13

Fingerprint

satellite imagery
land use
sediments
hurricanes
normalized difference vegetation index
shorelines
change detection
water quality
clarity
classifiers
vegetation
erosion
contaminants
indication
oils
trapping
statistics
coefficients
water

Keywords

  • Mangrove change
  • Matang mangrove forest
  • MLC
  • NDVI
  • Satellite imageries

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Determination of mangrove change in matang mangrove forest using multi temporal satellite imageries. / Ibrahim, Nazlina; Ahmad Mustapha, Muzzneena; Lihan, Tukimat; Abd. Ghaffar, Mazlan.

AIP Conference Proceedings. Vol. 1571 2013. p. 487-492.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ibrahim, N, Ahmad Mustapha, M, Lihan, T & Abd. Ghaffar, M 2013, Determination of mangrove change in matang mangrove forest using multi temporal satellite imageries. in AIP Conference Proceedings. vol. 1571, pp. 487-492, 2013 UKM Faculty of Science and Technology Post-Graduate Colloquium, Selangor, 3/7/13. https://doi.org/10.1063/1.4858702
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