Detecting large scale conversion of mangroves to aquaculture with change point and mixed-pixel analyses of high-fidelity MODIS data

Abdullah F. Rahman, Danilo Dragoni, Kamel Didan, Armando Barreto-Munoz, Joseph A. Hutabarat

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

Mangrove forests of the tropical and subtropical regions provide critical ecosystem services, fulfill important socio-economic and environmental functions, and support coastal livelihoods. These forests are also among the most vulnerable ecosystems, both to anthropogenic disturbance and climate change. Yet, no map or published study exists showing detailed spatiotemporal trends of mangrove deforestation at local to regional scales. This study uses change point and mixed-pixel analyses with a time series (2000-2010) of high-fidelity imagery from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) for tracking deforestation of mangroves in the Mahakam Delta of Indonesia at 250. m spatial scale and a 3-monthly temporal interval. The results show that a total of 21,000 ± 152. ha of mangrove land in the Mahakam Delta were deforested and converted to shrimp ponds in 11. years. In 2000, the deforested lands covered 47% of the entire delta, while in 2010 it increased to 75%. Deforestation rates varied in each year, but peaked in 2002 and declined since then. The combination of high-fidelity time series data and a robust method of change detection resulted in a virtual reconstruction of 11. years of drastic land change history of the delta's mangrove areas at a consistent spatiotemporal scale. We anticipate that the methodology developed in this study will be useful to reconstruct deforestation histories of other places as well. Also, our findings can potentially be used to further explore the socioeconomic drivers of mangrove deforestation so that reliable, appropriate and sustainable methods of local and regional scale adaptation/mitigation strategies can be developed.

Original languageEnglish (US)
Pages (from-to)96-107
Number of pages12
JournalRemote Sensing of Environment
Volume130
DOIs
StatePublished - Mar 5 2013

Fingerprint

Deforestation
Aquaculture
moderate resolution imaging spectroradiometer
deforestation
mangrove
MODIS
aquaculture
pixel
Pixels
Imaging techniques
Ecosystems
socioeconomics
Time series
time series analysis
time series
mangrove forests
Ponds
livelihood
subtropics
subtropical region

Keywords

  • Change point analysis
  • EVI2
  • Kalimantan
  • Mixed pixel analysis
  • Remote sensing
  • Tambak

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Soil Science
  • Geology

Cite this

Detecting large scale conversion of mangroves to aquaculture with change point and mixed-pixel analyses of high-fidelity MODIS data. / Rahman, Abdullah F.; Dragoni, Danilo; Didan, Kamel; Barreto-Munoz, Armando; Hutabarat, Joseph A.

In: Remote Sensing of Environment, Vol. 130, 05.03.2013, p. 96-107.

Research output: Contribution to journalArticle

Rahman, Abdullah F. ; Dragoni, Danilo ; Didan, Kamel ; Barreto-Munoz, Armando ; Hutabarat, Joseph A. / Detecting large scale conversion of mangroves to aquaculture with change point and mixed-pixel analyses of high-fidelity MODIS data. In: Remote Sensing of Environment. 2013 ; Vol. 130. pp. 96-107.
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