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Published： 07 March 2023 ，
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耿云龙，汤玉奇，尹芝勇，邹滨，冯徽徽.2023.顾及斑块面积比的国产卫星土地覆盖产品尺度效应研究.遥感学报，27（3）： 810-820
Geng Y L，Tang Y Q，Yin Z Y，Zou B and Feng H H. 2023. Research on scale effect of domestic satellite land cover products considering patch area ratio. National Remote Sensing Bulletin， 27（3）：810-820
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60 m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。
The optimal scale of land cover products varies by different applications. Consequently
it needs the scale conversion of land cover products from the base resolution to the objective one. However
the scale effects accompanying the scale conversion often lead to information distortion of land cover products. The state-of-art patch-level research on scale effect
which is vulnerable to patch classification accuracy
often classifies the patches of land cover products into different types. Consequently
a cross-type scale effect model (CSEM) with Patch Area Ratio (PAR) is proposed in this study.
The CSEM is aimed to explore further the effect mechanism of Patch Morphological Indexes (PMIs) on scale conversion
predict the areas of land classes in land cover products with specific scales
and provide a rationality evaluation for the scale conversion. First
a candidate index library is defined with seven indexes to describe the patch morphology based on patch size
shape
edge complexity
and internal connectivity. Then
a set of PMIs is defined by information metric techniques. The scale is incorporated into the PMIs by mathematical transformation. Moreover
the CSEM with PAR is constructed by associating the PMIs with PAR
calculated according to the patch areas before and after scale conversion.
In this study
a 30 m land cover product from domestic satellites is used with the support of a National Key Research and Development Program to construct and validate the proposed CSEM. According to the experimental results
the CSEM fits the relationship among Filling
logRsr
and PAR: the logRsr is the main factor affecting the value of PAR when logRsr > -0.05
whereas Filling is the main factor on PAR while logRsr < -0.05. The prediction results show that the maximum prediction errors for the four land-cover types of forest
cropland
grassland
and impervious surface on 12 converted scales
varying from 90 m to 750 m with an interval of 60 m
are 0.056
0.051
0.051
and 0.053; their average prediction errors are 0.036
0.033
0.034
and 0.035
respectively.
The results confirm that the CESM explores the effects of Filling and logRsr on PAR and reveals the effect mechanism during the scale conversion
providing instruction for subsequent research of other indexes. The proposed CSEM has satisfactory prediction accuracy for various area types in land cover products with specific scales. It can also provide theoretical guidance for scale conversion and production of land cover products.
土地覆盖产品尺度上推尺度效应斑块面积比形态指标
land cover productupscalingscale effectPatch area Ratio (PAR)Patch Morphology Index (PMI)
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