Remote sensing as a tool for identifying planning priority zones: A case study of the Voždovac municipality

Abstract

Contemporary urbanization processes, particularly in peri-urban areas of large cities, require analytical tools capable of providing reliable and spatially explicit support for planning decision-making. In this context, remote sensing represents an important source of data for assessing the spatial patterns and conditions of both natural and built environments. The aim of this paper is to examine the role of remote sensing as a tool for identifying zones of planning priorities, using the municipality of Voždovac as a case study. This area represents a typical peri-urban space characterized by pronounced contrasts between compact urban areas and zones with natural features. The methodological framework is based on the integration of vegetation condition indicators (NDVI), land surface temperature (LST), and land use/land cover (LULC) data. These indicators are applied as an analytical basis for distinguishing zones of different ecological and microclimatic significance. Remote sensing is not treated as a means of making final planning decisions, but rather as a screening tool that supports the planning process by highlighting areas requiring different planning approaches. The results reveal clear spatial differences between zones with high conservation potential and zones where planning interventions aimed at improving green infrastructure and microclimatic conditions are needed. The study demonstrates that remote sensing can significantly enhance the analytical foundation of spatial planning, particularly in the context of managing development in peri-urban areas.