Please use this identifier to cite or link to this item: https://doi.org/10.1080/01431161.2010.526971
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dc.title2010 land cover map of insular Southeast Asia in 250-m spatial resolution
dc.contributor.authorMiettinen, J.
dc.contributor.authorShi, C.
dc.contributor.authorTan, W.J.
dc.contributor.authorLiew, S.C.
dc.date.accessioned2014-12-12T07:09:27Z
dc.date.available2014-12-12T07:09:27Z
dc.date.issued2012-01
dc.identifier.citationMiettinen, J., Shi, C., Tan, W.J., Liew, S.C. (2012-01). 2010 land cover map of insular Southeast Asia in 250-m spatial resolution. Remote Sensing Letters 3 (1) : 11-20. ScholarBank@NUS Repository. https://doi.org/10.1080/01431161.2010.526971
dc.identifier.issn2150704X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/114974
dc.description.abstractIn this letter, we present themethodology and accuracy assessment of a newregional 250-mspatial 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 theMalaysian 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 highresolution (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. © 2012 Taylor & Francis.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/01431161.2010.526971
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCTR FOR REM IMAGING,SENSING & PROCESSING
dc.description.doi10.1080/01431161.2010.526971
dc.description.sourcetitleRemote Sensing Letters
dc.description.volume3
dc.description.issue1
dc.description.page11-20
dc.identifier.isiut000292874300002
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