Abstract

Information regarding spatial management can be obtained using various methods, including satellite and photogrammetric technology. However, different methods give different results in terms of spatial resolution. Nowadays, photogrammetric data used for determining the spatial management usually employs pixels representing 0.25 m; still, the majority of the data are orthophotomaps with pixels representing 0.5 m; whereas the spatial resolution of most commonly used multispectral satellite images ranges from 20 to 30 m (for Landsat and SPOT satellites). This article presents the research results regarding the compatibility of spatial management descriptions based on photogrammetric and satellite sources. A supervised classification was conducted for two units, based on the multispectral satellite images. In this way, raster maps of spatial management were obtained. Also, vector maps of spatial management were made based on the orthophotomaps. Both kinds of description were integrated with each other in the GIS system by placing the data on separate layers. The compatibility analysis was conducted based on the analysis of two main layers representing the data obtained using the two methods. Due to the presence of raster and vector data, the value of each raster pixel was classified, and homogenous sets of data were obtained. The imaging, positioning and degree of generalization of the maps were compared, assuming parameters for the overlaying geometric objects, which was a sort of standardization.

Key words: Orthophotomaps, multispectral satellite images, image supervised classification, Geographic Information System (GIS) spatial analysis.