DOI QR코드

DOI QR Code

A Change Detection of Urban Vegetation of Seoul with Green Vegetation Index Extracted from Landsat Data

Landsat 녹색식생지수를 이용한 서울시 도시녹지 변화 조사


Abstract

The purpose of this study is to detect and evaluate the change of urban vegetation of Seoul during 1980s. Large areas covered with agricultural crops or forests were converted to residential and commercial areas, roads, schools, sports complexes, etc. There were also widespreas concerns on the deterioration of the quality of urban vegetation due to severe air pollution, overcrowding of nature parks, and idling of farm lands by land speculators. The image used for this study were MSS(Oct. 4, 1979) and TM(Apr. 26, 1990). The Green Vegetation Index of Kauth & Thomas(1976) was for the analysis. The GVI were resampled with 75$\times$75m grids and overlaid with the jurisdictional boundaries of 22 districts of Seoul. The results were reclassified to 6 classes, class 6 representing grids with the most vigorous vegetation or the best vegetation improvement in 1980s. The finding of this study can be summarized as follows : First, the most vigorous vigorous vegetation, in terms of GVI, of the 1979 image can be found at paddy fields located on alluvial near Han River. Broad-leaf forests located on hilly terrains have higher GVI than conifers located on the upper-parts of mountains. The average GVI of the northern part and southern part of Han River are 3.56 and 3.74, respectively. The main reason why the southern part has higher GVI is that there are more prime agricultural lands. Districts of Kangseo, Yangcheon, and Songpa have the highest percentage of grids of GVI class 6, and the percentages are 3.55 %, 3.47 %, and 2.69 %, respectively. Second, the most vigorous vegetation of the 1990 image can be found at the grass lands of the Yongsan golf club and the Sungsu horse racing track. The GVI of farm lands is lower than forest because most agricultural crops are at the early stage of growing season when the TM image was taken. The size of built-up area is much larger than of 1979. On the other hand, vegetation patches surrounded by developed area become smaller and have stronger contrast to surrounding area. The average GVI of the northern part and southern part of Han River are 3.57 and 3.51, respectively. The main reason why the southern part has lower GVI is the at more large-scale urban development projects were carried out in there during 1980s. Districts of Tobong, Nowon, and Seocho have the highest percentage of class 6, and the perecentages are 16.58 %, 10.14 %, and 8.50% respectively. Third, the change of urban vegetation in Seoul during 1980s are significant. Grids of GVI change classes 1 and 2, which represent severe vegetation loss, occupy 15.97% of Seoul. Three districts which lost the most vegetation are Yangcheon, Kangseo, and Songpa, where the percentages of GVI class 1 are 13.42%, 13.39% and 9.06%, respectively. The worst deterioration was mainly caused by residential developments. On the other hand, the vegetation of some part of Seoul improved in this period. Grids of GVI change classes 5 and 6 occupy 9.83 % of Seoul. Distircts of Jung, Yongsan, and Kangnam have the highest percentage of grids with GVI change classes 5 and 6, and their percentages are 22.31%, 19.17%, and 13.66%, respectively. The improvement of vegetation occurred in two areas. Forest vegetation is generally improving despite of concerns based on air pollution and heavy use by recreationists. Vegetation in open spaces established in riverside parks, large residential areas, and major public facilities are also improving.

Keywords

References

  1. 도시·산림·환경 심포지움 보고서 대기오염에 의한 도시림의 쇠퇴중후군 김준호
  2. 토지연구 no.3;4 토지개발사업의 환경영향평가 박종화
  3. 도시·산림·환경 심포지움 보고서 도시녹지의 현황 및 정비방안 박종화
  4. 서울대학교 환경대학원 석사학위논문 지리정보시스템을 이용한 도시 오픈스페이스의 분석에 관한 연구 서동조
  5. 통계연보 서울시
  6. 환경논총 v.29 서울의 녹지보전실태와 영향요인에 관한 연구 양병이;김정욱;박종화
  7. 응용생태연구 v.1-1 북한산 국립공원의 토양 및 식생에 대한 이용영향 및 심리적 수용력의 연구 이경재;김준선;우종서
  8. 서울의 환경보전 세미나 보고서 서울도시림의 현황과 효율적 관리방안 이경재
  9. 千葉:千葉大學 博士學位論文 高密度市街地の分布特性とろの構成に關すゐ硏究 金振仙
  10. 都市のグリソマトリクシス 田畑貞壽
  11. Remote Sensing of Environment v.14 Comparison on the Dimensionality and Features of Simulated Landsat-4 MSS and TM Data Crist,Eric,P.;Richard,C.Cicone
  12. Photogrammetric Eng. and Remote Sensing v.52 The Tasseled Cap De-Mystified Crist,Eric,P.;Richard,C.Cicone
  13. Proc. 10th Int'1 Symp. on Remote Sensing of Environment v.2 Measuring Forage Production of Grazing Units from Landsat MSS Data Deering,D.W.(et al.)
  14. IDRISI:A Grid-Based Geographic Analysis System, (Ver.3.2) Eastman,J.Ronald
  15. Landscape Ecology Forman;Richard;Michel Godron
  16. Annals, Assoc. of American Geographers v.73 Biophysical Remote Sensing Jensen,John,R.
  17. Introductory Digital Image Processing:A Remote Sensing Perspective Jensen,John,R.
  18. Proceedings, Technical Session, LACIE Symposium Feature Extraction Applied to Agricultural Crops as Seen by Landsat Kauth,R.J.(et al.)
  19. Remote Sensing and Image Interpretation(2nd ed.) Lillesand,Thomas,M.;Ralph,W.Kiefer
  20. Remote Sensing of Environment v.8 Red and Photographic Infrared Linear Combinations for Monitoring Vegetation Tucker,C.J.