首页|Mapping wetlands in Indonesia using Landsat and PALSAR data-sets and derived topographical indices

Mapping wetlands in Indonesia using Landsat and PALSAR data-sets and derived topographical indices

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Wetlands play an important role in the provision of ecosystem services, ranging from the regulation of hydrological systems to carbon sequestration and biodiversity habitat. This paper reports the mapping of Indonesia's wetland cover as a single thematic class, including peatlands, freshwater wetlands, and mangroves. Expert-interpreted training data were used to identify wetland formations including areas of likely past wetland extent that have been converted to other land uses. Topographical indices (Shuttle Radar Topography Mission-derived) and optical (Landsat) and radar (PALSAR) image inputs were used to build a bagged classification tree model based on training data in order to generate a national-scale map of wetland extent at a 60 m spatial resolution. The resulting wetland map covers 21.0% (39.6 Mha) of Indonesia's land, including 25.2% of Sumatra (11.9 Mha), 22.9% of Kalimantan (12.2 Mha), and 28.9% of Papua (11.8 Mha). Results agree with existing image-interpreted products from Indonesia's Ministries of Forestry and Agriculture and Wetlands International (89% overall agreement), and with the Ministry of Forestry forest inventory data for Sumatra and Kalimantan (91% overall agreement). An internally consistent algorithm-derived national wetland extent map can be used to quantify changing rates of land conversion inside and outside of wetlands. Additionally, wetlands extent can be used to efficiently allocate field resources in national assessments of wetland sub-types such as peatlands, which are a current focus of policies aiming to reduce carbon emissions from land use change.

wetlandsIndonesiaremote sensingLandsatdigital elevation model (DEM)PALSARShuttle Radar Topography Mission (SRTM)

Belinda A. MARGONO、Jean-Robert B. BWANGOY、Peter V. POTAPOV、Matthew C. HANSEN

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Department of Geographical Sciences, University of Maryland, 4321 Hartwick Bid., College Park, MD 20742, USA,The Ministry of Forestry (MoF) of Indonesia, Manggala Wanabhkati Bld., Jakarta 10270, Indonesia

GIS Center of Excellence, South Dakota State University, 1021 Medary Ave., Wecota Hall, Brookings, SD 57007, USA

Department of Geographical Sciences, University of Maryland, 4321 Hartwick Bid., College Park, MD 20742, USA

2014

10.1080/10095020.2014.898560

Geo-spatial information science

Geo-spatial information science

EIESCI
ISSN：1009-5020
年,卷(期)：2014.17(1)
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