Ground reference data error and the mis-estimation of the area of land cover change as a function of its abundance
作者： Giles M. Foody
DOI: 10.1080/2150704X.2013.798708
关键词: Function (mathematics) 、 Statistics 、 Abundance (ecology) 、 Remote sensing 、 Range (statistics) 、 Magnitude (mathematics) 、 Land cover 、 Environmental science 、 Estimation 、 Data set 、 Reference data
摘要: 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 …
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