Evaluating mangrove forest deforestation causes in Southeast Asia by analyzing recent environment and socio-economic data products

Adam Irwansyah Fauzi, Anjar Dimara Sakti, Lissa Fajri Yayusman, Agung Budi Harto, Lilik Budi Prasetyo, Bambang Irawan, Ketut Wikantika

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)

Abstract

Recent research conducted in Southeast Asia reveals that mangrove forest degraded 2.12% from 2002 to 2012. Availability of various data products that commonly used to analyze global and regional phenomenon encourages to be utilized for this topic. Therefore, this research aims to utilising specific environment and socioeconomic data products for explaining mangrove forest deforestation in Southeast Asia countries based on Global Distribution of Mangrove (USGS) and Mangrove Forest Cover Loss (CGMFC-21) data. Environment and socioeconomic data products applied in this study are percent tree cover (MOD44B), rainfed field and irrigated field (HYDE 3.2), cropland, water, & urban (MCDC12Q1), average lights (DMSP-OLS v4), gross domestic production (DRYAD), and population density (GPW v4). Analysis organized by correlating existing data products to mangrove deforestation data and dominant land use of deforested mangrove patches (Richards & Friess, 2016) data. Furthermore, the result will be synthesize to estimate mangroves conversion types classified into three dominant drivers i.e., agriculture, aquaculture, & infrastructure. Finally, the outcome will be compared to the dominant land use of deforested mangrove patches (Richards & Friess, 2016). As an addition, some potential areas will be highlighted and discussed. The result indicates that 56.27% of the total deforested mangrove grid show mangroves are converted to agriculture, 27.11% grid show mangroves are converted to aquaculture, and 55.98% grid show mangroves are converted to infrastructure. As a result of this study, it was concluded that existing environment & socio-economic data products could describe major driven factor of mangroves conversion types in Southeast Asia from 2000 to 2012 i.e., agriculture, aquaculture, and infrastructure respectively with relevancy 98.21%, 77.45%, and 65.22% comparatively to Dominant Land Use of Deforested Mangrove Patches in 2012 (Richards & Friess, 2016) data. Therefore, variations and resolution of data products will be the primary key in improving this method.

Original languageEnglish
Pages880-889
Number of pages10
Publication statusPublished - 2018
Event39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018 - Kuala Lumpur, Malaysia
Duration: 15 Oct 201819 Oct 2018

Conference

Conference39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018
Country/TerritoryMalaysia
CityKuala Lumpur
Period15/10/1819/10/18

Keywords

  • Blue carbon
  • GIS
  • Remote sensing

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