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https://doi.org/10.1007/s11027-009-9169-6
Title: | Estimation of biomass distribution in Peninsular Malaysia and in the islands of Sumatra, Java and Borneo based on multi-resolution remote sensing land cover analysis | Authors: | Miettinen, J. Liew, S.C. |
Keywords: | Biomass monitoring Carbon flux Southeast Asia |
Issue Date: | Apr-2009 | Citation: | Miettinen, J., Liew, S.C. (2009-04). Estimation of biomass distribution in Peninsular Malaysia and in the islands of Sumatra, Java and Borneo based on multi-resolution remote sensing land cover analysis. Mitigation and Adaptation Strategies for Global Change 14 (4) : 357-373. ScholarBank@NUS Repository. https://doi.org/10.1007/s11027-009-9169-6 | Abstract: | In this study we used high resolution (20 m) land cover maps to derive detailed information on land cover structure within the classes of a regional medium resolution (500 m) land cover map. This enabled improved biomass estimation for the medium resolution land cover classes. Although our results suggested that land cover maps based merely on medium resolution remote sensing data can be used to monitor the extent of forest cover, they also showed that these maps alone are not sufficient to produce reliable regional estimates on above ground biomass in insular Southeast Asia. A quarter of the study area was covered by sub-pixel size (500 m) mosaic of various land cover types containing 14% of biomass. In total, non-forest areas covered over 60% of the study area and included 43% of biomass. In these areas, highly fragmented within class land cover structure was shown to significantly affect biomass estimates. Therefore we conclude that forest/land cover monitoring based merely on medium resolution remote sensing data can no longer be used to sufficiently quantify carbon fluxes connected to land cover changes in insular Southeast Asia, but multi-resolution approaches are needed to perform this task. © 2009 Springer Science+Business Media B.V. | Source Title: | Mitigation and Adaptation Strategies for Global Change | URI: | http://scholarbank.nus.edu.sg/handle/10635/115097 | ISSN: | 13812386 | DOI: | 10.1007/s11027-009-9169-6 |
Appears in Collections: | Staff Publications |
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