基于遥感和Moran’s I指数的水稻面积变化空间自相关性研究  

Spatial autocorrelation of changes in paddy rice area based on remote sensing and Moran's I index

作　　者：孙玲[1] 单捷[1] 毛良君 黄晓军[1] 王志明[1] SUN Ling SHAN Jie MAO Liang-jun HUANG Xiao-jun WANG Zhi-ming(Institute of Agricultural Economy and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China)

机构地区：[1]江苏省农业科学院农业经济与信息研究所,江苏南京210014

出　　处：《江苏农业学报》2016年第5期1060-1065,共6页Jiangsu Journal of Agricultural Sciences

基　　金：国家科技重大专项(09-Y30B03-9001-13/15-006);江苏省农业三新工程项目[SXGC(2014)303];江苏省基础研究计划项目(BK20140759);江苏省农业科技自主创新基金项目[CX(13)3055]

摘　　要：本研究基于遥感影像获取了2011-2015年江苏省淮安区水稻面积,在乡镇区划和2 km规则网格的基础上,用Moran’s I指数分析了2011-2015年水稻逐年空间变化的相关关系,分析结果表明,淮安区水稻面积变化有聚集现象,2012年有4个聚集区,2013年有3个聚集区,2014年和2015年有6个聚集区;聚集区仅为乡镇行政区划单元的部分区域。In this study, the paddy rice planting area of Jiangsu Huai’ an area between 2011 and 2015 was obtained through remote sensing images. On the basis of township boundaries and 2 km×2 km grid, spatial correlation of the paddy rice planting area from year to year between 2011 and 2015 was analyzed by Moran-s index. The analysis showed clustering effects of the change of the paddy rice planting area in Huai’ an area. Four clusters were identified in 2012, three were i-dentified in 2013, and six were identified in both 2014 and 2015. The area only covers parts of administrative township.

关 键 词：水稻 卫星遥感 Moran’s I指数 网格 

分 类 号：P237[天文地球—摄影测量与遥感]