This research focuses on modeling the spatial variation of errors in a land cover map and in the detection of changes when local uncertainties are identified. The motivation for this research stems from the fact that although a plethora of classification accuracy indices exists, most of them are global measures, such as the percentage correct and kappa index which are being the dominant measure...

Many countries in Central and Eastern Europe have been undergoing marked economic changes following the collapse of the former “Eastern Bloc” and totalitarian regimes. In the Czech Republic, this transition has had a profound effect on land use management that subsequently results in widespread land cover changes. This study analyzes trends in land use/land cover changes (LULCC) in the context ...

Historical land use information is essential to understanding the impact of anthropogenic modification of land use/cover on the temporal dynamics of environmental and ecological issues. However, due to a lack of spatial explicitness, complete thematic details and the conversion types for historical land use changes, the majority of historical land use reconstructions do not sufficiently meet th...

The world is witnessing a dramatic shift of settlement pattern from rural to urban population, particularly in developing countries. The rapid Addis Ababa urbanization reflects this global phenomenon and the subsequent socio-economic and environmental impacts, are causing massive public uproar and political instability. The objective of this study was to use remotely sensed Landsat data to iden...

Satellite based land cover classification for Africa’s semi-arid ecosystems is hampered commonly by heterogeneous landscapes with mixed vegetation and small scale land use. Higher spatial resolution remote sensing time series data can improve classification results under these difficult conditions. While most large scale land cover mapping attempts rely on moderate resolution data, PROBA-V prov...

Several techniques exist for remote sensing (RS) image classification, which includes supervised and unsupervised approaches. Classified maps are the main product of remote sensing image classification. Accuracy assessment of these classified maps is one of the foremost and important tasks of RS image classification technique. Without accuracy assessment the quality of map or output produced wo...

Comparison of several recent, publicly available and widely used land-cover products for the Eurasian Arctic revealed important differences in their representations of vegetation distribution. Such disparities have important implications for models that use these products as driving data sets to monitor vegetation and its role in carbon dynamics. The differences between GLC-2000 and MODIS.PFT a...