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However, limitations of traditional land cover classifications are numerous and well known.
However, discrete land cover classifications of such data cannot sufficiently quantify land surface heterogeneity or change.
This approach targets ecologically relevant deciduous fractions and complements traditional crisp land cover classifications.
Current studies of land cover change and landscape fragmentation rely predominantly on land cover classifications derived from remotely sensed images.
This study aims at stressing the compliances and the discrepancies between these four land cover classifications systems.
Remote sensing-based land cover classifications should also reflect species differences for this area if the classification map is used in estimating NPP with an LUE model.
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Land cover reference data were used as the basis for assessing the accuracy of the land cover classification.
40 Land cover type was extracted from the qualitative global land cover map, defined within the United Nations (UN) land cover classification system using the environmental satellite (ENVISAT) mission's Medium Resolution Imaging Spectrometer (MERIS) sensor at 300 m resolution.
The National Land Cover Database (NLCD) 2001 Alaska land cover classification is the first 30-m resolution land cover product available covering the entire state of Alaska.
39 Land cover type was extracted from the qualitative global land cover map for 2005, defined within the United Nations land cover classification system using environmental satellite (ENVISAT) mission's Medium Resolution Imaging Spectrometer MERISsensorsor at 300 m resolution.
The purpose of the present study is to critically analyze the effects of image fusion on various land cover classification.
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