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Spatial multi criteria analysis to propose special use zone planning in Bantimurung Bulusaraung National Park (BBNP), South Sulawesi, Indonesia

Widianto, Tony (2010) Spatial multi criteria analysis to propose special use zone planning in Bantimurung Bulusaraung National Park (BBNP), South Sulawesi, Indonesia.

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Abstract:The issue of community development inside BBNP has become a main concern in the park management. To prove this issue, an analysis of the relationship between population growth and land cover change is essential. Ministry of Forestry regulates the idea of “Special use zone” in Ministry Decree (Permenhut) No. 56/2006 about Zoning Principles in National Park. Several activities allowed inside a special use zone are protection area, utilization area for people demand, rehabilitation and population growth and carrying capacity monitoring. This research aims to identify and analyze community problem in order to propose special use zone planning using spatial multi criteria analysis in Bantimurung Bulusaraung National Park (BBNP), South Sulawesi, Indonesia. This aims was pursued by conducting 3 parts of analysis which are land cover change analysis, community area mapping and community area spatial planning. Land cover change analysis performed maximum likelihood supervised classification on Landsat‐7 TM 2002 and 2009(RGB 542) with overall accuracy 77% and 83% respectively. According to this classification, deforestation area was identified in land cover change analysis which is about 1,974 ha (20%) of study area. The deforestation was then correlated with population growth in study area using linier regression that shows negative significant correlation. Because of relationship between deforestation and population growth, community area mapping was carried out. Three methods (Maximum Likelihood Supervised Classification (MLC), Object Based Classification (OBC) and Visual Interpretation (VI)) were examined to map the land cover of GoeEye 0.4 m resolution (Google Earth) on the selected subset area. The overall accuracy for these 3 classification techniques were 56%, 58% and 86% respectively. Technique with highest accuracy (VI) was used to map the whole study area. The result of land cover map was utilized in community spatial planning. Community spatial planning was performed as land use allocation accomplished using Spatial Multi Criteria Evaluation (SMCE) ILWIS software using biophysical criteria which was defined through literature study and questionnaire distribution. Land cover, slope, soil, rainfall and distance to road, settlement, tourism object, river and flora fauna habitat were selected as considered criteria. Land use allocation resulted protection area in7,439.36 ha (74.88%), rehabilitation area 1,996.38 ha (20.09%) and agriculture area in157.51 ha(1.59%) and non suitable area 341,88 ha(3.4%). Keywords : community problem, special use zone, land cover classification, spatial multi criteria evaluation
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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