A Probability Mapping for Land Cover Change Prediction using CLUE Model

토지피복변화 예측을 위한 CLUE 모델의 확률지도 생성

  • Oh, Yun-Gyeong (Research Institute for Agriculture and Life Science, 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.) ;
  • Bae, Seung-Jong (Seoul Nat'l Univ.) ;
  • Yoo, Seung-Hwan (Research Institute for Agriculture and Life Science, Seoul Nat'l Univ.) ;
  • Lee, Sang-Hyun (Graduate School, Seoul Nat'l Univ.)
  • 오윤경 (서울대학교 농업생명과학연구원) ;
  • 최진용 (서울대학교 조경.지역시스템공학부 농업생명과학연구원) ;
  • 배승종 (서울대학교) ;
  • 유승환 (서울대학교 농업생명과학연구원) ;
  • 이상현 (서울대학교 대학원)
  • Received : 2010.05.18
  • Accepted : 2010.06.22
  • Published : 2010.06.30

Abstract

Land cover and land use change data are important in many studies including climate change and hydrological studies. Although the various theories and models have been developed, it is difficult to identify the driving factors of the land use change because land use change is related to policy options and natural and socio-economic conditions. This study is to attempt to simulate the land cover change using the CLUE model based on a statistical analysis of land-use change. CLUE model has dynamic modeling tools from the competition among land use change in between driving force and land use, so that this model depends on statistical relations between land use change and driving factors. In this study, Yongin, Icheon and Anseong were selected for the study areas, and binary logistic regression and factor analysis were performed verifying with ROC curve. Land cover probability map was also prepared to compare with the land cover data and higher probability areas are well matched with the present land cover demonstrating CLUE model applicability.

Keywords

References

  1. 김우선, 윤공현, 허준, 자야쿠마, 2008, CLUE-S 모델과 시계열 Landsat 자료를 이용한 토지피복 변화 예측, 한국지형공간정보학회, 16(1), 33-41.
  2. 박명원, 2007, 특별기사 : 경기도 도시정책의 이슈와 발전방향, 대한토목학회지, 55(7), 19-27.
  3. 박찬, 2009, 저탄소사회 구현을 위한 이산화탄소 저감 잠재량 분석-토지이용변화를 중심으로-, 서울대학교 석사학위 논문.
  4. 윤정섭, 황희연, 1987, 청주시 중심부의 토지이용 변화과정에 대한 도시생태학적 해석, 국토계획, 22(1), 1121-1148.
  5. 이규성, 윤여상, 김선화, 신정일, 윤정숙, 강성진, 2009, 한반도 토지이용 및 토지피복 모니터링을 위한 현안 분석, 1999, 경상북도 4개 도시의 녹지파편화 현상 비교, 대한원격탐사학회, 25(1), 71-83. https://doi.org/10.7780/kjrs.2009.25.1.71
  6. 이용준, 김성준(2007) 미래 토지이용변화 예측을 위한 개선된 CA-Markov 기법의 제안 및 적용, 한국토목학회논문집, 27(6), 809-817.
  7. 이용준, 김성준, 2007, 미래 토지이용변화 예측을 위한 개선된 CA-Markov 기법의 제안 및 적용, 대한토목학회, 27(6), 809-817.
  8. 이인성, 한재웅, 2001, 1985-2000년의 서울시 녹지 잠식 경향의 분석, 국토계획, 36(3), 41-54.
  9. 엄창호, 최대식, 2002, 셀룰라오토마타 모형을 이용한 미시적 토지이용변화 예측, 국토계획, 37(4), 229-239.
  10. 주용진, 박수홍, 2003, 논문 : 시계열 위성영상을 이용한 토지이용 변화예측 확률모형의 구현, 지리학연구, 37(4), 373-385.
  11. Brown, D. G., Pijanowski, B. C., and Duh, J. D., 2002, Modeling the relationships between land use land cover on private lands in the Upper Midwest, USA. J Environmental Management, 59(4), 247-263.
  12. Clarke, K. C., S. Hoppen and L.J. Gaydos, 1997, A self-modifying cellular automation model of historical urbanization in the San Francisco Bay area, Environment and Planning B., 24, 247-261. https://doi.org/10.1068/b240247
  13. Deal, B. and Schunk, D., 2004, Spatial dynamic modeling and urban land use transformation: a simulation approach to assessing the costs of urban sprawl, Ecological Economics, 51(1), 79-95. https://doi.org/10.1016/j.ecolecon.2004.04.008
  14. Lambin, E. F., Rounsevell, M. D. A. and Geist, H. J., 2000, Area agricultural land-use models able to predict changes in land-use intensity? Agriculture, Ecosystems and Enviromnent, 82, 321-331. https://doi.org/10.1016/S0167-8809(00)00235-8
  15. Rinaldi E., 1998, The Multi-Cellular Automation: A Tool to Build More Sophisticated Models.
  16. Schulp, C.J.E., Nabuurs, G. J. and Verburg, P. H., 2008, future carbon sequestration in Europe: Effects of landuse change, Agriculture, Ecosystems and Enviromnent, 127(3-4), 251-264. https://doi.org/10.1016/j.agee.2008.04.010
  17. Turner, B. L., Lambin, E. F. and Reenberg, A., 2007, Land change science special feature: the emergence of land change science for global enviromnental change and sustainability, Proceedings of National Academy of Sciences, 104(52), 20333-20671.
  18. Verburg, P. H., De Konong, G. H. J., Kok, K., Veldkamp, A. and Bouma, J., 1999, A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual and use, Ecological Modelling, 116(1), 45-61. https://doi.org/10.1016/S0304-3800(98)00156-2
  19. Verburg, P. H., Soepboer, W., Veldkamp, A., Limpiada, R., Espaldon, V. and Mastura, S. S. A., 2002, Modeling the spatial dynamics of regional land use: The CLUE-S model, Environmental Management, 30(3), 391-405. https://doi.org/10.1007/s00267-002-2630-x
  20. Wu, F. 2000, A Parameterised Urban Cellular Model Combining Spontaneous and Self-Organising Growth, Geocomputation: Innovation in GIS, 7, 73-85.