A Study on Surveying Techniques of Rural Amenity Resources Using Internet High-resolution Image Services - mainly on Google Earth -

인터넷 고해상도 영상서비스를 이용한 농촌어메니티 자원조사 기술에 관한 연구 - Google Earth를 중심으로 -

  • Jang, Min-Won (Institute of Agriculture and Life Sciences, Gyeongsang Nat'l Univ.) ;
  • Chung, Hoi-Hoon (Research Institute for Agriculture and Life Science, Seoul Nat'l Univ.) ;
  • Lee, Sang-Hyun (Graduate School, Seoul Nat'l Univ.) ;
  • Choi, Jin-Yong (Dept. of Landscape Architecture and Rural Systems Engineering and Research Institute for Agriculture and Life Science, Seoul Nat'l Univ.)
  • 장민원 (경상대학교 농업생명과학연구원) ;
  • 정회훈 (서울대학교 농업생명과학연구원) ;
  • 이상현 (서울대학교 대학원) ;
  • 최진용 (서울대학교 조경지역시스템공학부 농업생명과학연구원)
  • Published : 2009.12.30

Abstract

The aim of this paper is to investigate the applicability of high spatial resolution remote sensing images for conducting the rural amenity resources survey. There are a large number of rural amenity resources and field reconnaissance without a sufficient preliminary survey involves a big amount of cost and time even if the data quality cannot always be satisfied with the advanced study. Therefore, a new approach should be considered like the state-of-the-art remote sensing technology to support field survey of rural amenity resources as well as to identify the spatial attributes including the geographical location, pathway, area, and shape. Generally high-resolution satellite or aerial photo images are too expensive to cover a large area and not free of meteorological conditions, but recently rapidly-advanced internet-based image services, such as Google Earth, Microsoft Bing maps, Bluebirds, Daum maps, and so on, are expected to overcome the handicaps. The review of the different services shows that Google Earth would be the most feasible alternative for the survey of rural amenity resources in that it provides powerful tools to build spatial features and the attributes and the data format is completely compatible with other GIS(Geographic information system) software. Hence, this study tried to apply the Google Earth service to interpret the amenity resources and proposed the reformed work process conjugating the internet-based high-resolution images like satellite and aerial photo data.

Keywords

References

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