Innovations in the Geoscience Research: Classification of the Landsat TM Image Using ILWIS GIS for Geographic Studies

Current research presents application of the ILWIS GIS for satellite image processing and classification aimed at land cover types mapping. Two images were classified and analysed. Changes in land cover types were detected for the time 1988 - 2011. The study area covers selected example regions of North Russia. Supervised classification of the raster imagery aims at recognizing of the class membership for each pixel during image analysis. The results demonstrate application of the ILWIS GIS approach of technical processing of the raster images and recognizing classes of the land cover types. The The Minimal Distance Classifier was used as an approach. due to its applicability, logical methodology and precision. The supervised classification of the multi-spectral imagery has been performed using 'Classify' operator in ILWIS GIS applied to Landsat TM 1988, 2001 and 2011. This work has a technical character of GIS applications for remote sensing (RS) data processing. It reports ILWIS GIS approach of the RS data processing Landsat TM satellite image using unsupervised and supervised classification methods. The methods of ILWIS GIS are compared and the results described. Presented at the 8th International Conference 'Prospects for the Higher School Development', Grodno State Agrarian University (GGAU) Grodno, Belarus, May 28-29 2015.