LANDCOVER CHANGE ANALYSIS USING REMOTE SENSING AND GIS:

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Tuesday, 03 May 2011 11:28 | Author: Administrator |

LANDCOVER CHANGE ANALYSIS USING REMOTE SENSING AND GIS:

INITIAL PHASE OF MEASURING CARBON SEQUESTRATION FOR REDD+

IN MERU BETIRI NATIONAL PARK, INDONESIA :

Summary

Monitoring and estimating carbon dioxide emissions from deforestation and forest degradation at the national scale become a key element that has to be considered in Reducing Emission from Deforestation and Forest Degradation (REDD) activities. The measuring, reporting and verifying (MRV) system of REDD is based on the general requirements set by the United Nation Framework Convention on Climate Change (UNFCCC) and the specific methodologies for the land use and forest sectors provided by the Intergovernmental Panel on Climate Change (IPCC) (GOFC-GOLD, 2009).

The objective of this research is to analyze activity data in order to estimate carbon emission estimation by using the methods provided in the 2003 IPCC Good Practice Guidance for Land Use, Land Use Change and Forestry (GPG-LULUCF) and the 2006 IPCC Guidelines for National Greenhouse Gas Inventories for Agriculture, Forestry and Other Land Uses (GL-AFOLU).

Landcover mapping has been conducted for Meru Betiri National Park using Landsat TM 5, Landsat ETM 7, SPOT 4, ALOS PALSAR and ALOS AVNIR from 1997 to 2010. Landuse Change Matrix (LCM) was then generated using 6 land categories based on 2006 IPCC GL. The LCM indicates that Forest land tends to dominate the landcover in MBNP, followed by Crop land, Grassland, Other land and Settlement.

Deforestation rate for successive years of forest cover mapping was calculated according to FAO method. Annual deforestation rate for each period was found to be maximum in the period of 2005-2007 (-0.08) and followed by the period of 2007-2010 (-0.03).

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Last Updated (Friday, 03 June 2011 17:25)