Paper
30 October 2009 The land ecological layout planning research based on geography information system and osculating method: a case study of Houjie town
Yanjun Liu, Jianrong Cao, Renhai Wu, Changhui Zhou
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74980Y (2009) https://doi.org/10.1117/12.834592
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Ecological land layout is a key step of land use planning. Effective ecological land layout could benefit to the ecology, economy and society. Based on Matlab, a new simple osculating method was introduced in the paper, which was used to provide the basis for land layout. At the same time, GIS was used to be the technological platform for dividing land planning unit, managing all data and displaying all land layout planning results. The new planning method includes 4 steps. Firstly, the land should be divided into many planning units in GIS. Secondly, several planning targets should be chosen. The third step is to select indicators to be analyzed and to determine their weights. The forth step is to calculate osculating values and to layout land planning units for different needs. Finally, all the land would be laid out to satisfy all needs. A case study on Houjie Town was presented to demonstrate the new method. Considering land use types and the number of requests, the comprehensive ecological land layout planning was ensured. Six pictures in different colors showed the results of ecological land layout planning on Houjie town.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanjun Liu, Jianrong Cao, Renhai Wu, and Changhui Zhou "The land ecological layout planning research based on geography information system and osculating method: a case study of Houjie town", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980Y (30 October 2009); https://doi.org/10.1117/12.834592
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KEYWORDS
Geographic information systems

Geography

MATLAB

Silicon

Agriculture

Ecology

Environmental science

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