Journal of Environmental Impact Assessment (환경영향평가)

Korean Society of Environmental Impact Assessment (한국환경영향평가학회)
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Development of an urban forest management system based on information of topography, soil and forest type

지형, 토양 및 임상정보에 기초한 도시림 관리시스템 개발

  • Lee, Woo-Kyun (Department of Forest Resources and Environment, Korea University) ;
  • Son, Yo-Whan (Department of Forest Resources and Environment, Korea University) ;
  • Song, Chul-Chul (Department of Forest Resources and Environment, Korea University) ;
  • Chung, Kee-Hyun (Department of Forest Resources and Environment, Korea University) ;
  • Kim, Yoon-Kyoung (Department of Forest Resources and Environment, Korea University) ;
  • Ryu, Soung-Ryoul (Department of Forest Resources and Environment, Korea University) ;
  • Kim, Hyun-Sup (Department of Forest Resources and Environment, Korea University)
  • 이우균 (고려대학교 산림자원환경학과) ;
  • 손요환 (고려대학교 산림자원환경학과) ;
  • 송철철 (고려대학교 산림자원환경학과) ;
  • 정기현 (고려대학교 산림자원환경학과) ;
  • 김윤경 (고려대학교 산림자원환경학과) ;
  • 류성렬 (고려대학교 산림자원환경학과) ;
  • 김현섭 (고려대학교 산림자원환경학과)
  • Published : 1999.09.30
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Abstract

For the effective management of urban forest, a variety of informations on urban forest needs to be accurately measured and effectively used in decision-making processes. This study aims at developing an urban forest management system with reference to GIS and making it possible to effectively manage urban forests. A detailed forest type map were constructed with the help of aerial photograph and terrestrial inventory. A geographical map in terms of slope, aspect and altitude were also prepared by Digital Elevation Model(DEM). A soil type map containing chemical characteristics were also made through soil analysis. These thematic maps which contain informations on forest type, geography and soil were digitalized with reference to GIS, and an urban forest management system of user interface were developed. With the help of this urban forest management system, various spatial and attribute informations which need for urban forest management could be easily used in decision-making processes in relation to urban forest.

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