Mapping and monitoring deforestation and forest degradation in Sumatra (Indonesia) using Landsat time series data sets from 1990 to 2010

Belinda Arunarwati Margono, Svetlana Turubanova, Ilona Zhuravleva, Peter Potapov, Alexandra Tyukavina, Alessandro Baccini, Scott Goetz, Matthew C. Hansen

Research output: Contribution to journalArticlepeer-review

256 Scopus citations

Abstract

As reported by FAO (2005 State of the Worlds Forests (Rome: UNFAO), 2010 Forest Resource Assessment (FRA) 2010/095 (Rome: UNFAO)), Indonesia experiences the second highest rate of deforestation among tropical countries. Hence, timely and accurate forest data are required to combat deforestation and forest degradation in support of climate change mitigation and biodiversity conservation policy initiatives. Within Indonesia, Sumatra Island stands out due to the intensive forest clearing that has resulted in the conversion of 70% of the islands forested area through 2010. We present here a hybrid approach for quantifying the extent and change of primary forest in Sumatra in terms of primary intact and primary degraded classes using a per-pixel supervised classification mapping followed by a Geographic Information System (GIS)-based fragmentation analysis. Loss of Sumatras primary intact and primary degraded forests was estimated to provide suitable information for the objectives of the United Nations Framework on Climate Change (UNFCCC) Reducing Emission from Deforestation and Forest Degradation (REDD and REDD+) program. Results quantified 7.54Mha of primary forest loss in Sumatra during the last two decades (1990-2010). An additional 2.31Mha of primary forest was degraded. Of the 7.54Mha cleared, 7.25Mha was in a degraded state when cleared, and 0.28Mha was in a primary state. The rate of primary forest cover change for both forest cover loss and forest degradation slowed over the study period, from 7.34Mha from 1990 to 2000, to 2.51Mha from 2000 to 2010. The Geoscience Laser Altimeter System (GLAS) data set was employed to evaluate results. GLAS-derived tree canopy height indicated a significant structural difference between primary intact and primary degraded forests (mean height 28m ±8.7m and 19m ±8.2m, respectively). The results demonstrate a method for quantifying primary forest cover stand-replacement disturbance and degradation that can be replicated across the tropics in support of REDD+initiatives.

Original languageEnglish (US)
Article number034010
JournalEnvironmental Research Letters
Volume7
Issue number3
DOIs
StatePublished - Jul 2012
Externally publishedYes

Keywords

  • change detection
  • deforestation
  • forest degradation
  • Indonesia
  • Landsat
  • remote sensing

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Public Health, Environmental and Occupational Health

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