| Popis: |
In most urban environments, loss of natural vegetation, the reduction of open spaces, and the rapid invasive transformation of the natural environment into impervious has happened. These changes can lead to a decline in life quality and in an increase of various economic, social, ecological, and infrastructural problems and risks. The complexity of the urban environment at various scales requires the application of high spatial and temporal resolution data in the process of urban planning. In this paper, specific urban planning indicators (UPIs), divided into two groups, have been derived for statistical circles (SC) of Split settlement in Croatia. Vegetation indicators (TCR - tree cover ratio, LCR - lawn cover ratio, GCR - green cover ratio) and indicators of urbanization (SCR - street cover ratio, BCR - building cover ratio, IMR - impervious surface ratio) were derived from the derived land cover model. It was generated from WorldView-3 (WV3) imagery with the GEOBIA method. A superv ised machine learning technique support vector machine (SVM) was used. A significant spatial variability between UPIs at SCs was observed. The UPIs values at the studied level are the reflection of the historical spatial- functional development of the Split settlement. These type of UPIs can be used at the neighborhood level of urban planning and analysis of different issues in an urban environment. |
