Paper
30 October 2009 Study on Karst landscape spatial pattern based on remote sensing and GIS
Dan Xiao, Kangning Xiong, Yulun An, Wenzhuan Zhang
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74981D (2009) https://doi.org/10.1117/12.832484
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
The frangibility and vulnerability of Karst ecological environment have induced a series of major ecological environmental problems in Guizhou province, China. So, it is important to study the Karst landscape pattern in Guizhou province. In this paper, quantitative remote sensing inversion model and spatial analysis have been selected to study Karst landscape spatial pattern of Qingzhen city in Guizhou. The results show that the topological relations between different landscape patterns are very complexity and Qingzhen city has characteristics of high degree Karst landscape fragmentation and fragile Karst environment. Shrub-tree is a dominant landscape type while severe rock desertification landscape has strong interference characteristics.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dan Xiao, Kangning Xiong, Yulun An, and Wenzhuan Zhang "Study on Karst landscape spatial pattern based on remote sensing and GIS", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74981D (30 October 2009); https://doi.org/10.1117/12.832484
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Cited by 1 scholarly publication.
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KEYWORDS
Remote sensing

Geographic information systems

Analytical research

Fractal analysis

Multispectral imaging

Ecology

Spatial analysis

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