题名

用V-I-S模式描述都市土地覆蓋:以猶他州鹽湖城為例

并列篇名

Describing Urban Land Covers Using the V-I-S (Vegetation-Impervious Surface-Soil) Model: Modeling Salt Lake City, Utah Metropolitan Area

DOI

10.6234/JGR.2009.50.04

作者

洪銘志(Ming-Chih Hung)

关键词

土地覆蓋組成 ; 軟分類 ; 都市遙感探測 ; V-I-S 模式 ; 鹽湖城 ; land cover composition ; soft classification ; urban remote sensing ; the V-I-S model ; Salt Lake City

期刊名称

地理研究

卷期/出版年月

50期(2009 / 05 / 01)

页次

67 - 91

内容语文

繁體中文

中文摘要

都市地區的土地覆蓋物是多樣的,這使得都市地區在空間上及光譜上非常的異質化,也使得都市地區的環境模式化非常困難。借助於既有的V-I-S(Vegetation 植生,Impervious surface不透水表面,Soil 土壤)模式及軟分類法,都市地區能夠被簡化成三種基本物質的組成,而這種簡化使得都市地區能夠被數值化描述及分析。在這篇文章裡,多種具有代表性的都市特徵將逐一被檢視,這些都市特徵的V-I-S組成會被數值化性得展示在不同的表格及圖形,這種數值化資料提供了不同土地覆蓋或土地利用比較的基礎。此外,多條空間剖面從市中心向外延伸到都市週遭地區也顯示了V-I-S組成因地而異,但也都遵循著一個共同趨勢:從市中心到郊區,不透水表面會遞減,而植生會遞增。

英文摘要

A great diversity of land cover types is present in urban areas. This diversity makes urban areas spatially and spectrally heterogeneous, and in turn makes urban environmental modeling challenging. With an urban land cover based model, the V-I-S (Vegetation-Impervious surface-Soil) model, and a previously developed soft classifier, urban environments could be simplified and therefore represented as combinations of three basic urban components. With this simplification, urban environments could be described and analyzed quantitatively. Typical urban features were selected. The V-I-S compositions of these selected urban features are shown in a quantitative manner by various forms, such as tables, plots, feature space plots, and the V-I-S diagrams. This quantitative data provide bases for comparisons between different land cover/use types. In addition, spatial profiles are also drawn from the downtown area towards city boundaries to show the general trends of change in land cover composition across an urban landscape. As expected, impervious surface general decreases as one moving towards city boundaries, while vegetation or soil increases.

主题分类 人文學 > 地理及區域研究
参考文献
  1. Batty, M.,Y. Xie.(1994).Modeling inside GIS, Part 1: Model structures, exploratory spatial data analysis and aggregation.International Journal of Geographical Information Systems,8(3),291-307.
  2. Burrough, P. A.,R. A. McDonnell(1998).Principles of Geographical Information Systems.New York:Oxford University Press.
  3. Card, D. H.(1993).The Department of Geography, The University of Utah.
  4. Chang, K.-T.(2006).Introduction to Geographic Information Systems.New York:McGraw-Hill.
  5. Chung, J. M.(1989).The Department of Geography, The University of Utah.
  6. Cova, T. J.,M. F. Goodchild(2002).Extending geographical representation to include fields of spatial objects.International Journal of Geographical Information Science,16,509-532.
  7. DeMers, M. M.(2002).GIS Modeling in Raster.New York:John Wiley & Sons, Inc..
  8. Fisher, P. F.,S. Pathirana(1990).The evaluation of fuzzy membership of land cover classes in the suburban zone.Remote Sensing of Environment,34,121-132.
  9. Foody, G. M.(1992).A fuzzy sets approach to the representation of vegetation continua from remotely sensed data: An example from lowland heath.Photogrammetric Engineering and Remote Sensing,58(2),221-225.
  10. Foody, G. M.(2002).Status of land cover classification accuracy assessment.Remote Sensing of Environment,80,185-201.
  11. Foster, B. C.(1985).An examination of some problems and solutions in monitoring urban areas from satellite platforms.International Journal of Remote Sensing,6(1),139-151.
  12. Heywood, I.,S. Cornelius,S. Carver(2002).An Introduction to Geographical Information Systems.Essex, U.K.:Pearson Education Ltd..
  13. Hoffer, R. M.,P. H. Swain,S. M. Davis(Ed.)(1978).Remote Sensing: The Quantitative Approach.New York:McGraw-Hill, Inc..
  14. Hung, M.-C.,M. K. Ridd(2002).A sub-pixel classifier for urban land cover mapping based on a maximum likelihood approach and expert system rules.Photogrammetric Engineering and Remote Sensing,68(11),1173-1180.
  15. Jensen, J. R.(2005).Introductory Digital Image Processing: A Remote Sensing Perspective.Englewood Cliffs, NJ:Prentice-Hall, Inc..
  16. Jensen, J. R.(2000).Remote Sensing of the Environment: An Earth Resource Perspective.Englewood Cliffs, NJ:Prentice-Hall, Inc..
  17. Lo, C. P.,A. K. W. Yeung(2002).Concepts and Techniques of Geographic Information Systems.Upper Saddle River, NJ:Prentice-Hall, Inc..
  18. Longley, P. A.,M. F. Goodchild,D. J. Maguire,D. W. Rhind(2005).Geographic Information Systems and Sciences.West Sussex, U.K.:John Wiley & Sons Ltd..
  19. Madhavan, B. B.,S. Kubo,N. Kurisaki,T. V. L. N. Sivakumar(2001).Appraising the anatomy and spatial growth of the Bangkok Metropolitan area using a vegetation-impervious-soil model through remote sensing.International Journal of Remote Sensing,5(22),789-806.
  20. Peuquet, D.(1984).A conceptual framework and comparison of spatial data models.Cartographica,21(4),66-113.
  21. Ridd, M. K.(1995).International Journal of Remote Sensing.
  22. Ward, D.,S. R. Phinn,A. T. Murray(2000).Monitoring growth in rapidly urbanizing areas using remotely sensed data.Professional Geographer,52(3),371-386.
  23. Wegener, M.,A. S. Fotheringham,M. Wegener(Ed.)(2000).Spatial Models and GIS: New Potential and New Models.London, U.K.:Taylor & Francis.
  24. Yuan, M.,J. Bossler,J. R. Jensen,R. B. McMaster,C. Rizos(Ed.)(2002).Manual of Geospatial Science and Technology.New York:Taylor & Francis.