The paper expose problems that can be meet while performing classification over areas of heterogenous characteristics. Two areas in different geographical regions and with different type of land cover were chosen intentionally – the intensive agricultural area of Gornja Radgona in NE of Slovenia and the sub-alpine area of Kobarid in Western part. With the use of object based image analysis approach in this research we aim to present how two main issues were minimized: reducion of negative effects of shadows on the image and improvement of wrong delineation of spectrally similar classes.
COBISS.SI-ID: 32311341
In this study visual methodology to monitor land cover changes of urban areas in the Central Slovenia region was applied. Multitemporal Landsat TM/ETM+ images from 1992, 1999 and 2005 were employed. Visual interpretation of change detection has been performed using RGB – NDVI methodology. Results were acquired as a NDVI composite of Landsat images, structured as a combination of red – green – blue bands. Applyed method provess to represent a good, fast and effective example of a visual change detection analysis.
COBISS.SI-ID: 31796013