Ground reference data error and the mis-estimation of the area of land cover change as a function of its abundance
Ground reference data error and the mis-estimation of the area of land cover change as a function of its abundance
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DOI：
10.1080/2150704x.2013.798708
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发表时间：
2013-08-01
影响因子：
2.3
通讯作者：
Foody, Giles M.
中科院分区：
文献类型：
--
作者：
Foody, Giles M.
面积估算是遥感的一种常见应用，特别是在研究土地复盖变化方面。使用不完善的、非标准的参照物被证明是估计变化面积的一个重大误差的来源。在整个变化丰度范围内，探讨了土地覆盖分类的准确性，包括真实的和可感知的，以及变化面积之间的关系。错误估计的程度随变化的丰富性和所用数据集的质量而不同，但可能很大。对于基于数据集质量的实际值的场景，对于变化很少的常见情况，1%，由于参考数据误差，变化面积被高估了两个数量级。结果突出表明，遥感提供关于变化区域的准确信息的能力受到参考数据误差的限制，部分是变化丰度的函数。
Area estimation is a common application of remote sensing especially in relation to studies of land cover change. The use of an imperfect, nongold-standard, reference is shown to be a source of substantial error in estimates of change area. The relationships between the accuracy of land cover classifications, both real and perceived, together with area of change are explored over the full range of change abundance. The magnitude of mis-estimation varies with the abundance of change and the quality of the data sets used but may be large. For scenarios based on realistic values of data set quality for the common situation in which change is rare, 1%, change area was overestimated by up to two orders of magnitude because of reference data error. The results highlight that the ability of remote sensing to provide accurate information on change area is limited by reference data error and is, in part, a function of change abundance.