Tupu methods on land use change based on space-temporal-attribute in Karst

Tianjiu Wang; Yulun An; Pengzhou Zhang; Rihong Tang

doi:10.1117/12.760771

26 July 2007 Tupu methods on land use change based on space-temporal-attribute in Karst

Tianjiu Wang, Yulun An, Pengzhou Zhang, Rihong Tang

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67522M (2007) https://doi.org/10.1117/12.760771
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

Scientists at home and abroad have been paying attention to researches on land use,but,less on "space and process" of lucc, especially in Karst areas. Guizhou province belongs to the model Karst areas, a most main environment question is the rock desertification, while the rock desertification phenomenon is precisely a centralism of the land use change which develops to the bad direction manifests. According to the theories of Geo-informatic Tupu and the traditional approach to land use, this paper presents the concept model of Land-use-change Tupu System based on space, temporal and attribute, attempting to improve the expression of land use change. Using traditional method,two stages of land use database in 1996 and 2005 are acquired, which are the informatic foundation for research. Moreover, the model integrates visual expression with tupu analysis composing of graphic description as well as driving influence factors. In addition, the converted appraisal scale is joined in the tupu analysis. All of these are supported by ERDAS and ARCGIS software and based on 3S. The tupu methodology would be a powerful and efficient tool on land use change in Karst areas and other areas. It is integration of space, temporal and attribute. It is helpful to mathematical model constructors for understanding the spatial information and its processes.

Citation Download Citation

Tianjiu Wang, Yulun An, Pengzhou Zhang, and Rihong Tang "Tupu methods on land use change based on space-temporal-attribute in Karst", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67522M (26 July 2007); https://doi.org/10.1117/12.760771

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