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景观破碎度在冬小麦面积抽样设计中的应用研究
  • 期刊名称:遥感学报.2010.14(6):1127-1138.
  • 时间:0
  • 分类:P208[天文地球—地图制图学与地理信息工程;天文地球—测绘科学与技术] TP79[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]北京师范大学资源学院,北京100875
  • 相关基金:国家自然科学基金资助项目(编号:40871194)和北京师范大学优秀博士论文培育基金;国家高技术研究发展计划资助项目(863项目)(编号:2006AA120101).
  • 相关项目:对地抽样总量控制下的多源遥感玉米种植面积测量方法研究
中文摘要:

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,可以作为分层标志,随着抽样格网不断增加,而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。当格网小于100m×100m时,破碎度指标作为分层标志效果要优于而积规模指标;在种植结构规整区域,面积规模指标要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行应用。

英文摘要:

Fragmentation is often used to describe spatial structure of earth landscape ecology. This paper introduces the fragmentation in remote sensing sampling survey, and focuses on the application of area-scale and fragmentation in the stratified sampling. Experimental results show that: (l) in the regions with broken planting structure, correlation coefficients of area-scale and fragmentation are both above 0.7. Therefore, they both can be used as auxiliary variables for stratification design in such regions. With the increasing of sampling grids, correlation coefficient of area-scale increases, while correlation coefficient of fragmentation decreases. When sampling grid size is smaller than 100mx 100m, fragmentation is better than area-scale. (2) in the regions with regular planting structure, area-scale is always better than fragmentation. Fragmentation is more suitable for the application of winter wheat area sample survey in regions where planting structure is broken, sampling units is small.

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