Lorensia Kali. Prediction of need urban forest use SIG and remote sensing. Case Study in Kabupaten Belu province of NTT

Abstract

The aim of this research was to predict and identify need of urban forest based on production of Carbon Dioxide (CO2), also to identify spatial distribution and potent of developed urban forest. Prediction of urban forest carried out until 2020 with data base in 2003. This research used spatial analysis. The use of Analysis Hierarchy Process (AHP) to know alternatif scale what to do. Filled of cuisener on stackeholder such as; government, community, LSM, and the university. The result of this research to show that urban forest area in 2003 was 9.258,43 ha still enaugh need of urban forest until 2020 e.g. 207.701,666. However spatially despeard of urban forest were located in suburb. Based on Analysis Hierarchy Process, so the main alternatif was urban forest of housing, social community as second alternatif or priority. The third alternatif was urban forest conservation, and urban forest of recreation as four alternatif. The last alternatif was urban foret of industry.