将破碎度指标引入到遥感抽样调查中, 重点探讨了面积规模指标与破碎度指标在分层抽样中的适用\n性。实验结果表明: 在种植结构破碎区域, 面积规模指标与破碎度指标的相关系数均在0.7 以上, 可以作为分层标\n志, 随着抽样格网不断增加, 面积规模指标的相关系数不断增大, 而破碎度指标的相关系数则不断减小。当格网\n小于100m′100m时, 破碎度指标作为分层标志效果要优于面积规模指标; 在种植结构规整区域, 面积规模指标要\n始终优于破碎度指标, 破碎度指标更适合于种植结构破碎、抽样单元较小的遥感抽样调查方案中作为分层标志进\n行应用。
Fragmentation is often used to describe spatial structure of earth landscape ecology. This paper introduces the\nfragmentation in remote sensing sampling survey, and focuses on the application of area-scale and fragmentation in the stratified\nsampling. Experimental results show that: (1) in the regions with broken planting structure, correlation coefficients of area-scale\nand fragmentation are both above 0.7. Therefore, they both can be used as auxiliary variables for stratification design in such\nregions. With the increasing of sampling grids, correlation coefficient of area-scale increases, while correlation coefficient of\nfragmentation decreases. When sampling grid size is smaller than 100m×100m, fragmentation is better than area-scale. (2) in the\nregions with regular planting structure, area-scale is always better than fragmentation. Fragmentation is more suitable for the\napplication of winter wheat area sample survey in regions where planting structure is broken, sampling units is small.