A method for choice of optimum scale on land use monitoring in tarim river basin

Journal of Geographical Sciences

Volumn 19, Issue 3, 2009, Pages 340-350

  Zhao, Jin ^a,d   Chen, Xi ^a   Bao, Anming ^a   Zhang, Chao ^b   Shi, Wanli ^c  

^a XINJIANG INSTITUTE OF ECOLOGY AND GEOGRAPHY   (China)

^b Urumqi Urban Institute of Geotechnical Investigation Surveying and Mapping   (China)

^c Institute of Water Resources and Hydropower Research   (China)

^d UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Appropriate scale; Land use monitoring; Landscape indices; Normalized scale variance; Tarim River Basin

Indexed keywords

EID: 70349416908     PISSN: 1009637X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11442-009-0340-5     Document Type: Article

References (39)

1. Arbia G, Benedeiti R, Espa G, 1996. Effect of the MAUP on image classification. Geographical System, 3: 123-141.
2. Atkinson P M, 1995. Defining an optimal size of support for remote sensing investigations. IEEE Transactions on Geoscience and Remote Sensing, 33(3): 768-776.
3. Atkinson P M, Curran P J, 1997. Choosing an appropriate spatial resolution for remote sensing investigations. Photogrammetric Engineering and Remote Sensing, 63(12): 1345-1351.
4. Bai Yanchen, Wang Jinfeng, 2003. Uncertainty in Remote Sensing: Classification and Scale Effect Modeling. Beijing: Geological Press, 4: 17-20. (in Chinese)
5. Barnsley M J, Barr S L, 1997. Scaling and generalisation in land cover mapping from satellite sensors. In: P R van Gardingen, Foody G M, Curran P J. Scaling-up from Cell to Landscape. New York. Cambridge University Press, 173-199.
6. Chen Liding, Lu Yihe, Fu Bojie et al., 2006. A framework on landscape pattern analysis and scale change by using pattern recognition approach. Acta Ecologica Sinica, 26(3): 663-670. (in Chinese)
7. Colombo S, Chica-Olmo M, Abarca F et al., 2004. Variographic analysis of tropical forest cover from multi-scale remotely sensed imagery. Photogrammetry & Remote Sensing, 58: 330-341.
8. Fotheringham A S, Wong D W S, 1991. The modifiable areal unit problem in multivariate statistical analysis, Environment and Planning A, 23: 1025-1044.
9. Garrigues S, Allard D, Baret F et al., 2006. Quantifying spatial heterogeneity at the landscape scale using variogram models. Remote Sensing of Environment, 103: 81-96.
10. Huang Yuxia, 2001. A review on scale in remote sensing. Advance in Earth Sciences, 16(4): 544-548. (in Chinese)
11. Hyppanen H, 1996. Spatial autocorrelation and optimal spatial resolution of optical remote sensing data in boreal forest environment. International Journal of Remote Sensing, 17(17): 3441-3452.
12. Johnson D D, Howarth P J, 1987. The effects of spatial resolution on land cover/land use theme extraction from airborne digital data. Canadian Journal of Remote Sensing, 13: 68-74.
13. Ju Junchang, Gopala S, Kolaczyk, E D, 2005. On the choice of spatial and categorical scale in remote sensing land cover classification. Remote Sensing of Environment, 96: 62-77.
14. Li Jun, Zhuang Dafang, 2002. Study on the appropriate scale of geo-spatial data. Acta Geographica Sinica, 57(suppl.): 52-59. (in Chinese)
15. Li Jun, Zhou Chenghu, 2003. Appropriate grid for terrain based landslide risk assessment in Lantau Island, Hong Kong. Journal of Remote Sensing, 7(2): 86-92. (in Chinese)
16. Liu Suxia, Liu Changming, 1994. The concept of representative element scale and their application for setting up precipitation station in ocean and basin. Yangtze River, 25(8): 19-22. (in Chinese)
17. Lu Xuejun, Zhou Chenghu, Zhang Hongyan et al., 2004. Analytical scheme on scale: Structure of geographical space. Progress in Geography, 23(2): 107-114. (in Chinese)
18. Lu Yihe, Fu Bojie, 2001. Ecological scale and scaling. Acta Ecologica Sinica, 21(12): 2096-2105. (in Chinese)
19. Marceau D J, Gratton D J, 1994b. Remote sensing and the measurement of geographical the entities in a forested environment: 2. The optimal spatial resolution. Journal of Remote Sensing, 49(2): 105-117.
20. Marceau D J, 1999. The scale issue in the social and natural science. Canadian Journal of Remote Sensing, 25: 347-356.
21. Marceau D J, Hay G J, 1999b. Remote sensing contributions to the scale issue. Canadian Journal of Remote Sensing, 25(4): 357-366.
22. Moellering H, Tobler W, 1972. Geographical variances. Geographical Analysis, 4: 34-64.
23. Openshaw S, 1977. A geographical solution to scale and aggregation problems in region building, partitioning and spatial modeling. Institute of British Geographers, Transactions, New Series, 2: 459-472.
24. Openshaw S, 1978. An empirical study of some zone-design criteria. Environment and Planning A, 10: 781-794.
25. Openshaw S, 1984b. Ecological fallacies and the analysis of areal census data. Environment and Planning A, 16: 17-31.
26. Phinn S R, Menges Carl, Hill G J E et al., 2000. Optimizing remotely sensed solutions for monitoring, modeling, and managing coastal environments. Remote Sensing of Environment, 73: 117-132.
27. Rahman A F, Gamon A J, Sims A D et al., 2003. Optimum pixel size for hyperspectral studies of ecosystem function in southern California chaparral and grassland. Remote Sensing of Environment, 84(2): 192-207.
28. Stein A, Riley J, Halberg N, 2001. Issues of scale for environmental indicators. Agriculture, Ecosystems and Environment, 82: 215-232.
29. Su Lihong, Li Xiaowen, Huang Yuxia, 2001. A review on scale in remote sensing. Advance in Earth Sciences, 16(4): 544-548. (in Chinese)
30. Townshend J R G, Justice C O, 1988. Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations. International Journal of Remote Sensing, 9: 187-236.
31. Townshend J R G, Justice C O, 1990. The spatial variation of vegetation changes at very coarse scales. International Journal of Remote Sensing, 11: 149-157.
32. Tunner M G, 1990. Spatial and temporal analysis of landscape patterns. Landscape Ecology, 4: 21-30.
33. Wang G X, Gertner G, Xiao X et al., 2001. Appropriate plot size and spatial resolution for mapping multiple vegetation types. Photogrammetric Engineering and Remote Sensing, 67(5): 575-584.
34. Welch R, 1982. Spatial resolution requirements for urban studies. International Journal of Remote Sensing, 3: 139-146.
35. Woodcock C E, Strahler A H, 1987. The factor of scale in remote sensing. Remote Sensing of Environment, 21(3): 311-332.
36. Wood E F, Sivapalan M, Beven K, 1990. Similarity and scale in catchment storm response. Reviews of Geophysics, 28(1): 1-18.
37. Zhang Na, 2006. Scale issues in ecology: Concepts of scale and scale analysis. Acta Ecologica Sinica, 26(7): 2340-2355. (in Chinese)
38. Zhang Yongmin, Zhou Chenghu, Zheng Chunhui et al., 2006. Spatial land use patterns in Guyuan County: Simulation and analysis at multi-scale levels. Resources Science, 28(2): 88-96. (in Chinese)
39. Zhao Wenwu, Fu Bojie, Chen Liding, 2002. Some fundamental issues in scaling. Advance in Earth Sciences, 17(6): 905-911. (in Chinese)