首页> 外文会议>Asian conference on remote sensing >Correlation Analysis of Factors Influencing Changes in Land Use in the Lower Songkhram River Basin, the Northeast of Thailand
【24h】

Correlation Analysis of Factors Influencing Changes in Land Use in the Lower Songkhram River Basin, the Northeast of Thailand

机译:泰国东北部宋卡兰河流域下游土地利用变化影响因素的相关分析

获取原文

摘要

The goal of this research is to analyze land-use change and to study the relationship between physical and socio-economic factors which affect the land use change. The land use change was processed by interpreting the LANDSAT-5 TM and THAICHOTE MS data acquired in 2005 and 2011 respectively and using overlay analysis and dynamic model. The study of the relationship between environmental factors affecting the land use change was analyzed using a statistical tool, which is the Binary Logit Model. The results showed that the land use change from the year 2005 to 2011, the types of land use that had increased, were perennial plants, farm plants, and man-made water sources with the increased area of 2,618.92 (0.86%), 729.51 (0.24%), and 264.85 (0.09%) ha respectively. The type of land use that decreased were deciduous forest, tropical evergreen forest, and natural water sources with the decreased area of 2,391.51 (0.78%), 852.02 (0.28%), and 457.03 (0.15%) hectare respectively. The rate of the area change per year using the dynamic model shows that perennial plants, man-made water sources, and farm plants have the positive rates of change, which are 1.59, 0.71, and 0.54 respectively. On the other hand, natural water sources, deciduous forest, and tropical evergreen forest have slightly negative rates of change, which are 0.82, 0.77, and 0.60 respectively. The type of land use that has no change is salt pan. Based on the Binary Logit Model, the relationship between physical and socio-economic factors affecting the land use change expressed that population (P) and distance from the canal (St) are independent variables which have a negative relationship with the land-use change without 0.05 logistical significance. Height above mean sea level (SI), numbers of female (F), numbers of male (M), numbers of household (H), distance from road (T), and distance from village (V) are independent variables which have a positive relationship with the land-use change without 0.05 logistical significance.
机译:这项研究的目的是分析土地利用变化并研究影响土地利用变化的自然和社会经济因素之间的关系。通过分别解释2005年和2011年获得的LANDSAT-5 TM和THAICHOTE MS数据并使用覆盖分析和动态模型来处理土地用途的变化。使用统计工具Binary Logit模型对影响土地利用变化的环境因素之间关系的研究进行了分析。结果表明,2005年至2011年土地利用变化,土地利用类型有所增加,为多年生植物,农场植物和人造水源,分别增加了2,618.92(0.86%),729.51( 0.24%)和264.85(0.09%)公顷。减少的土地利用类型为落叶林,热带常绿森林和天然水源,减少的面积分别为2,391.51(0.78%),852.02(0.28%)和457.03(0.15%)公顷。使用动态模型,每年的面积变化率表明,多年生植物,人造水源和农作物的变化率为正,分别为1.59、0.71和0.54。另一方面,天然水源,落叶林和热带常绿林的变化率略有负值,分别为0.82、0.77和0.60。不变的土地用途是盐田。基于二元Logit模型,影响土地利用变化的物理和社会经济因素之间的关系表示,人口(P)和距运河的距离(St)是自变量,与土地利用变化呈负相关,而没有0.05的后勤意义。高于平均海平面(SI)的高度,女性的数量(F),男性的数量(M),家庭数量(H),距道路的距离(T)和距村庄的距离(V)是自变量,它们具有与土地利用变化呈正相关,无0.05的后勤意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号