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引用本文:

DOI:

10.11834/jrs.20211213

收稿日期:

2021-04-14

修改日期:

2021-06-15

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顾及斑块面积比的国产卫星土地覆盖产品尺度效应研究
摘要:

尺度转换可获取不同应用需求下的土地覆盖产品最优表达尺度。但现有针对尺度转换伴随的尺度效应斑块级模型研究通常易受斑块分类的影响。因此,本文通过构建跨类型斑块面积比尺度效应模型,进一步探索斑块形态指标在尺度转换中的作用机制,实现对特定尺度土地覆盖产品中各地类面积的预测,为尺度转换方案提供合理性评价。首先利用信息度量技术定义斑块形态指标集,并通过数学变换将尺度纳入形态指标;然后联合斑块形态指标集和尺度转换前后的斑块面积比构建跨类型斑块面积比尺度效应模型。本文利用国家重点研发计划专项项目生产的国产卫星30 m土地覆盖产品对提出的斑块级尺度效应模型进行构建与验证。结果显示,该模型对林地、耕地、草地和不透水面四种地类在90-750 m共12个目标尺度(以60m为间隔)上的平均预测误差分别为0.036、0.033、0.034和0.035,对目标尺度土地覆盖产品各地类面积具有较好的预测精度,可为国产土地覆盖产品尺度转换提供理论依据,为高精度产品生产提供技术支持。

Research on Scale Effect of Domestic Satellite Land Cover Products Considering Patch Area Ratio
Abstract:

Objective: Scale conversion can obtain the optimal scale of land cover product in different applications. However, the patch-level researches on scale effects of scale conversion are vulnerable to the accuracy of patch classification. Consequently, a cross-type scale effect model (CSEM) with patch area ratio (PAR) is proposed in this paper. Method: The CSEM is aimed to further explore the effect mechanism of patch morphological indexes (PMIs) on scale conversion, predict the areas of land classes in land cover product with specific scale, and provide a rationality evaluation for the scale conversion. Firstly, a set of PMIs is defined by information metric techniques, and the scale is incorporated into the PMIs by mathematical transformation; Then the CSEM with PAR is constructed by associating the PMIs with PAR, calculated according to the patch areas before and after scale conversion. Result: In this paper, it is used a 30m land cover product from domestic satellites, supported by a s National Key Research and Development Program, to construct and validate the proposed CSEM. According to the results, average prediction errors of the proposed CSEM are 0.036, 0.033, 0.034 and 0.035 for the four land classes of forest, cropland, grassland and impervious surface on 12 converted scales (at 60m intervals) from 90-750 m, respectively. Conclusion: The results confirm that the proposed CSEM has satisfactory prediction accuracy for the land class areas in land cover products with specific scales, and can be the theoretical guidance of scale conversion and production of land cover products.

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