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2010 land cover map of insular Southeast Asia in 250-m spatial resolution
145
Citations
11
References
2011
Year
EngineeringGeomorphologyLand UseGeospatial TechnologyLand CoverLand DegradationPhysical GeographyChange AnalysisEarth ScienceSocial SciencesGeospatial MappingGeographical AspectIsland StudiesCultural PlanningCartographyNew GuineaInsular Southeast AsiaGeographyEarth Observation DataPrecision Soil MappingLand Cover MapRemote SensingCover Mapping250-M Spatial ResolutionLand Surface Modeling
The map covers the Malaysian Peninsula and the major islands of Sumatra, Java, Borneo, Sulawesi, Mindanao, western New Guinea, and numerous smaller islands. The study presents a new 250‑m resolution land cover map of insular Southeast Asia and evaluates its accuracy. The map was generated from ~500 MODIS images (Jan–Jul 2010) combined with peatland, elevation, and Daichi‑ALOS mosaic data, and classified into 13 region‑specific classes. The map achieved 85 % overall accuracy against high‑resolution satellite reference, demonstrating reliable coverage of a region experiencing rapid land‑cover change.
In this letter, we present the methodology and accuracy assessment of a new regional 250-m spatial resolution land cover map of insular Southeast Asia. Nearly 500 daily Moderate Resolution Imaging Spectroradiometer images (acquired 2 January–3 July 2010) were used in the production of the map. Additionally, peatland maps, elevation information and Daichi-Advanced Land Observing Satellite mosaic data were utilized in the mapping process. The map covers the Malaysian Peninsula and the major islands of Sumatra, Java, Borneo, Sulawesi and Mindanao, in addition to the western part of New Guinea and numerous smaller islands. The classification scheme of 13 classes reflects the special characteristics of land cover of insular Southeast Asia, including, for example, peatswamp forests and large-scale palm plantations. The map was assessed to have 85% overall accuracy using high-resolution (10–30 m) satellite data as reference material. It can therefore be considered to provide reliable information on the current status of land cover in this region experiencing rapid land cover changes.
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