MAPPING HABITAT SUITABILITY OF BANTENG (BOS JAVANICUS) USING SATELLITE IMAGERY AND GEOGRAPHIC INFORMATION SYSTEMS AT BALURAN NATIONAL PARK, INDONESIA

• Main Authors: Khanty Widayanti, 魏凱芳
• Other Authors: Tan Huang Lin
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/99621402200399195750

碩士 === 國立中央大學 === 遙測科技碩士學位學程 === 98 === The knowledge of ecological requirements and distributions of endangered species is a primary prerequisite to identify potential habitat for the species. But the potential habitat sites are usually difficult to access thus hard to investigate by traditional ground survey. With the capability of remotely sensed observations for wide area, satellite imagery combined with Geographic Information Systems (GIS) seems to be the best means for mapping and monitoring biodiversity at present. The main aim of this study is to develop habitat suitability index (HSI) of banteng at Baluran National Park (BNP) based on biologic and topographic variable that were derived from remote sensing imagery data. The biologic variables consist of three sub variables; land cover map, Normalized Difference Vegetation Index (NDVI) map and Soil Moisture Index (SMI) map, which are derived from Landsat ETM+ 7. The topographic variables consist of elevation and slope map of the study area which are derived from ASTER GDEM. Analysis of banteng habitat suitability was conducted spatially using scoring, weighting and overlaying methods. Each layer of habitat variable/sub-variable was grouped into five classes and scored based on the habitat selection of banteng, with the highest score represent the area with very high suitability and lowest score represent unsuitable area for banteng. The calculation of weight value is done using the extension tool of Analytical Hierarchy Process (AHP) in ArcGIS 9.2 software. The Saaty’s pair-wise comparisons were applied for each habitat variable/sub-variable compared with the others to calculate the weight value of each habitat variable/sub- variable. The layer of biologic variable was produced with combination of weight value of 0.32 for land cover type, 0.12 for NDVI map and 0.56 for SMI map. The topographic variable was produced using elevation and slope map with 0.5 of weight value for each layer respectively. The final result of this study is HSI of banteng, which is calculated using weight value of 0.75 for biology variable and 0.25 for topographic variable. These biologic and topographic variables were superimposed to get a layer of banteng habitat suitability index. The result shows that only 18.5% of BNP area which is very high suitable for banteng and 23.8% of BNP area is high suitable. 19.1% and 20. 1% of BNP areas were classified as unsuitable and low suitable area for banteng habitat. Based on the HSI map of banteng at BNP, most suitable area for banteng are located at southeast and southwest part of BNP, especially at Bitakol, Bama and Perengan Resorts and most of unsuitable area for banteng is located on north part of BNP.