Pemanfaatan Citra Satelit Penginderaan Jauh dan Sistem Informasi Geografi Untuk Analisis Nilai Ekonomi Ekosistem Pesisir. Studi kasus: Desa Teluk Limau, Kecamatan Jebus, Kabupaten Bangka Barat, Provinsi Bangka Belitung
Abstract
The Application of Remote Sensing and Geographical Information System (GIS) for Economic Value Analysis of Coastal Ecosystem. Case Study: Teluk Limau Vilage, Jebus District, West Bangka Regency, Bangka Belitung Province. Coral reefs, seagrass, and mangroves are important ecosystems as the source of nutrients and as the habitat provider for marine biotas. Sustainability of those ecosystems is important for Indonesians while many of them lived in the coastal region. However, information on those ecosystems is still lacked, because most of the area is difficult to reach. Remote sensing would provide a possibility to address the problem. Remote sensing can present a spatial description of a certain area, so it gives a better understanding for the policy maker to manage their area. One of the utilization of this information is to calculate the economic value of coastal ecosystems. The valuation would involve spatial parameters of both the extent of habitat and the length of ecosystem-protected coastline as a multiplier factor. Those parameters can be obtained quickly, easily and accurately using remote sensing. The purpose of this research is to apply remote sensing data for the economic valuation of coastal ecosystems. The method used was the combination of image processing of LANDSAT-8 satellite data and GIS to calculate spatial parameters of habitat, and surrogate market prices approach to assess the economic value of the ecosystems. The research was conducted in Teluk Limau Village, Jebus District, West Bangka Regency, Babel Province. This research has mapped four habitat classes of the coastal ecosystem including coral, macroalgae bed, bare substrate, and mangrove. Based on the spatial information of the map, the economic value of coral reef and mangrove was 141.4 billion rupiahs and 31.1 billion rupiahs respectively.
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