CHANGE DETECTION OF MANGROVE ECOSYSTEM USING LANDSAT IMAGERY BASED ON OBIA METHOD IN VALENTINE BAY, BOANO ISLAND WESTERN SERAM REGENCY

  • Saiful Alimudi Institut Pertanian Bogor
  • Setyo Budi Susilo Depertemen Ilmu dan Teknologi Kelautan, Fakultas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor
  • James P. Panjaitan Depertemen Ilmu dan Teknologi Kelautan, Fakultas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor
Keywords: Landsat, Mangrove, Object based classification (OBIA), Valentine Bay

Abstract

Limited information and attention to the mangrove areas in the Valentine Bay makes this research is very important. Series Landsat 7 ETM + in 2003, and 2015 are used as recording data to map the mangrove and to see the changes in the region. This study aims to determine changes in mangrove ecosystem between 2003 and 2015, using Landsat imagery based on the OBIA method and to compare the accuracy between OBIA and pixel method. Object base analyst method or often called object-based classification is used to analyze the extent of mangrove cover changes. The results showed that by using an object-based classification, the mangrove forest cover very well detected at the level of 85-88% accuracy. The application of this analysis is were relatively stable in the period of observation, this region has changed from 2003 to 2015 by 1.2%, but the change is meant the addition of natural mangrove. Local government attention is needed to conserve the area and as an conservation area or a natural laboratory considering that the region is still very good and not overdone exploited by people around the region of Valentine.

Published
2018-04-18
How to Cite
Alimudi, S., Susilo, S. B., & Panjaitan, J. P. (2018). CHANGE DETECTION OF MANGROVE ECOSYSTEM USING LANDSAT IMAGERY BASED ON OBIA METHOD IN VALENTINE BAY, BOANO ISLAND WESTERN SERAM REGENCY. Jurnal Teknologi Perikanan Dan Kelautan, 8(2), 139-146. https://doi.org/10.24319/jtpk.8.139-146
Section
JTPK NOVEMBER 2017