Research on the Tupu methods of land-use spatial pattern and its change: a case study in Yuanyang Hani terrace

Wenying Hu; Yuanmei Jiao

doi:10.1117/12.761285

15 August 2007 Research on the Tupu methods of land-use spatial pattern and its change: a case study in Yuanyang Hani terrace

Wenying Hu, Yuanmei Jiao

Author Affiliations +

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 675231 (2007) https://doi.org/10.1117/12.761285
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

Information Tupu provides a research method in the combination with spectrum, quantification and orientation for the regional land use spatial pattern and change. Taking Yuanyang County in Yunnan Province as an example, based on remote sensing, GIS spatial analysis and statistical analysis model, this paper establishes the information Tupu of land use spatial pattern and its change from the following three aspects: land use spatio-temporal change mode, spatial expansion process of land-use, and landscape characteristics. Then it analyzes the characteristics of these Tupu. The results show that: (1) The established land use spatio-temporal change premonition Tupu is more visually revealing the basic pattern of land use change in the study regions, and provides a spatio-temporal expression way. (2) The land use patch shapes and spatial expansion Tupu can provide the macroscopic and microscopic information of land use dynamic change. Through establishing mathematical models to analyze the expansion intensity and expansion patterns of various land use types, the land use spatial expansion process can be visualized, abstracted, and modeled. (3) Geographic information theory and landscape ecology theory are applied, using the VCM curve, to describe the spatial distribution features of different land-use type patches and the change of its spatial distribution features in different study periods.

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Wenying Hu and Yuanmei Jiao "Research on the Tupu methods of land-use spatial pattern and its change: a case study in Yuanyang Hani terrace", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675231 (15 August 2007); https://doi.org/10.1117/12.761285

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