A Study on Spatial-Temporal Changes of Land Use in Combination with SOM and Dynamic Index

LI Ling; CHEN Feiyan; LIN Aiwen

doi:10.13961/j.cnki.stbctb.2018.04.022

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A Study on Spatial-Temporal Changes of Land Use in Combination with SOM and Dynamic Index

- A Study on Spatial-Temporal Changes of Land Use in Combination with SOM and Dynamic Index
- Bulletin of Soiland Water Conservation Vol. 38, Issue 4, Pages: 129-134(2018)
- 作者机构：
  
  1. 武汉大学资源与环境科学学院,湖北,武汉,430079
  2. 信阳师范学院地理科学学院,河南,信阳,464000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2018.04.022
  CLC：
- Published：2018
- 稿件说明：
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LI Ling, CHEN Feiyan, LIN Aiwen. A Study on Spatial-Temporal Changes of Land Use in Combination with SOM and Dynamic Index[J]. Bulletin of Soiland Water Conservation, 2018, 38(4): 129-134.
DOI：

LI Ling, CHEN Feiyan, LIN Aiwen. A Study on Spatial-Temporal Changes of Land Use in Combination with SOM and Dynamic Index[J]. Bulletin of Soiland Water Conservation, 2018, 38(4): 129-134. DOI： 10.13961/j.cnki.stbctb.2018.04.022.

摘要

[目的]验证结合自组织神经网络（self-organizing map neural network， SOM）与动态度的方法在时间序列土地利用地类与结构的交互分析中的适用性，从多尺度展开土地利用地类及其结构演变分析，为城市土地资源可持续开发和利用提供参考。[方法]基于湖北省黄石市2005，2010，2015年土地利用数据，运用土地利用动态度，分析市域层面地类变化和转移特征，构建SOM模型实现乡镇层面结构空间表达，综合二次聚类和动态度分析整体土地利用演变规律。[结果]①建设用地著增加，贡献者为耕地、林地、未利用地；耕地持续减少，转换为建设用地和采矿用地与裸地；未利用地大量减少。②乡镇级土地利用结构变化趋势以耕地型向城镇/耕地型过渡为主。③中部、西部及南部乡镇土地利用变化和缓，东北部乡镇土地利用变化活跃，土地利用结构类型也发生了变化。[结论]SOM与土地利用动态度结合的方法适用于多尺度长时间序列土地利用时空演变综合分析。

Abstract

[Objective] To verify the applicability of the method that combined self-organizing map neural network (SOM) and dynamic index methods in the analysis of interactions between land use types and structures in a certain period

and to analyze the evolution of land use types and structures from multiple scales in order to provide reference for the sustainable development and utilization of urban land resources.[Methods] Based on the land use data of Huangshi City

Hubei Province in 2005

2010 and 2015

we used the single dynamic degree of land use to analyze the change and transition characteristics of land use types at the city level

and constructed a SOM model to express the spatial distribution of land use structures at the township-level

and explored the overall land use evolution with a method integrated K-means clustering and comprehensive dynamic degree of land use.[Results] ① The area of build-up land increased obviously

and they were transformed from cultivated land

woodland and unused land. The area of cultivated land was continuously decreased

as a result of conversions into construction land

mining land and bare land. The area of unutilized land reduced substantially. ② The transformation among types of land use structure was mainly from cultivated land to urban/cultivated land. ③ The central

western

and southern towns had experienced their slight changes in land use; while the towns in the northeast changed significantly

so did its structure.[Conclusion] The method in combination with SOM and land use dynamic index is suitable for comprehensive analysis about the spatial and temporal evolution of land use.

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