Extraction of Concentrated Prime Farmland based on Grid within the Scale of County
The aim of this paper is to propose a spatial grid-based fuzzy texture index extraction method applied to obtain the spatial distribution characteristics, retrieval concentrated contiguous information of prime farmland quickly and accurately. The lossless grid computing program for attribute information of prime farmland was developed on the SuperMap Objects platform. Four different spatial grid of 100×100 m, 200×200 m, 400×400 m, 800×800 m were designed and their spatial autocorrelation were analyzed. Based on spatial filtering algorithm, spatial density distribution characteristics of the prime farmland of Zezhou county in Shanxi province were analyzed, and a fuzzy texture index algorithm was also developed based on the classification, gradation and valuation of agricultural land of Zezhou county. Results show that: 1)Grid-based prime farmland can form continuous spatial density surface. This method enriches the spatial data presentation of the prime farmland and is beneficial to analyze the spatial data; 2)the concentrated contiguous index based on fuzzy texture index extraction method can be employed as a quantitative expression of spatial data. Concentrated regions of prime farmland can be extracted quickly using fuzzy texture index extraction method combined with the spatial density distribution characteristics. This paper has established a novel method for spatial distribution information extraction of prime farmland, which supports a theoretical reference for further protection, layout optimization of the prime farmland.
land informationprime farmlandgrid transformationfuzzy texture indexcentralize and connectivity
NETL
NSTL
万方数据
维普
