| Abstrak/Abstract |
Urban planning requires comprehensive and updated information to solve urban environmental and biophysical problems. The research aimed to extract and statistically test urban environmental and biophysical quality indicators based on remote sensing data and spatially analyse urban environmental quality (UEQ) integrated with socio-economic data. A quantitative approach was used to assess the UEQ Index for Magelang Regency, Indonesia. Landsat 8 OLI imagery as the primary data was used to measure biophysical indicators: land surface temperature (LST), vegetation index (NDVI), vegetation index with adjustment to soil conditions (SAVI), humidity index (NHI) and building index (NDBI). Combining urban indexes with comprehensive socio-economic parameters is expected to create a thorough UEQ assessment; thus, the research variables were biophysical indicators, population and urban utilities. The multivariate analysis investigated intervariable relationships, while sensitivity and factor analysis determined variables with the most influence on UEQ. Consequently, this research can explain UEQ with the tested priority variables. |
