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• W2626996979 abstract "ABSTRACTIt is difficult to map land covers in the urban core due to the close proximity of high-rise buildings. This difficulty is overcome with a proposed hybrid, the hierarchical method via fusing PAN-sharpened WorldView-2 imagery with light detection and ranging (lidar) data for central Auckland, New Zealand, in two stages. After all features were categorized into ‘ground’ and ‘above-ground’ using lidar data, ground features were classified from the satellite data using the object-oriented method. Above-ground covers were grouped into four types from lidar-derived digital surface model (nDSM) based on rules. Ground and above-ground features were classified at an accuracy of 94.1% (kappa coefficient or κ = 0.913) and 93.7% (κ = 0.873), respectively. After the two results were merged, the nine covers achieved an overall accuracy of 93.7% (κ = 0.902). This accuracy is highly comparable to those reported in the literature, but was achieved at much less computational expense and complexity owing to the hybr..." @default.
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• W2626996979 date "2017-06-14" @default.
• W2626996979 modified "2023-09-25" @default.
• W2626996979 title "A hybrid data fusion approach to the hierarchical mapping of land-cover types in the urban core" @default.
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• W2626996979 doi "https://doi.org/10.1080/01431161.2017.1339923" @default.
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