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首页> 外文期刊>SOLA: Scientific Online Letters on the Atmosphere >How Does Land Use/Land Cover Map's Accuracy Depend on Number of Classification Classes?
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How Does Land Use/Land Cover Map's Accuracy Depend on Number of Classification Classes?

机译：土地使用/陆地覆盖地图的准确性如何取决于分类课程的数量？

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摘要

A land use/land cover map is an important input for different applications. However, the accuracy of land cover maps remains a great uncertainty and mapping accuracy assessment is not well-documented. The objective of this paper is to examine the relationship between overall accuracy and the number of classification classes by conducting a literature review of land cover/land use studies. The results revealed a weak negative correlation between the map's accuracy and the number of classes. The paper suggests a decrease of 0.77% map's overall accuracy with respect to the increase of 1 land cover class. The average overall accuracy produced by 05 sensor types does not show the big difference. In addition, high spatial resolution sensor such as Airborne might not be always advantageous for producing high overall accuracy map since its accuracy depends on several factors including the number of land cover classes.
机译：土地使用/陆地覆盖图是不同应用的重要输入。然而，陆地覆盖地图的准确性仍然是一个很大的不确定性和映射精度评估并未充分记录。本文的目的是通过对土地覆盖/土地利用研究进行文献综述来研究整体准确性与分类课程数量之间的关系。结果揭示了地图的准确性和类数之间的弱负相关。本文表明，映射下降0.77％的整体准确性，相对于1级陆地覆盖类的增加。 05传感器类型产生的平均总体精度并不显示出很大的差异。此外，由于其精度取决于包括陆地覆盖类数的几个因素，因此，高空间分辨率传感器（如空气）可能并不是有利于产生高总体精度图。

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