The application of remote sensing - satellite imagery in engineering geology (study area of Črni Kal, Slovenia)
AbstractMain purpose of this paper is to provide an answer to the question of usefulness of satellite images in engineering geological mapping on larger scales (1:10.000 or larger). We tried to determine if the remote sensing (RS) is suitable for locating factors such as lithology and presence of faults. These factors, among others, define stability of the surface and indirectly affect on construction of linear infrastructure objects e.g. roads, railroads, various pipelines etc. On Landsat TM images of Črni Kal area, a digital image processing was conducted. Stretching of contrast was performed on basic TM bands images for purpose to enhance and separate image features. Filtering with Laplace and 2dfdxdy filters produced images that emphasise edges and entities. Before classification of images was performed, most suitable colour composites were selected. Two different classification methods were used, an unsupervised classification for colour composite of bands 1, 2 and 7, and supervised classification for colour composite of bands 2, 4 and 6. After the classification, the accuracy for both classification methods were calculated - accuracy of geology features for unsupervised classification reached a 56,5%, and for supervised classification it reached a 65,2%.
How to Cite
Komac, M., & Ribičič, M. (1998). The application of remote sensing - satellite imagery in engineering geology (study area of Črni Kal, Slovenia) . Geologija, 41(1), 411–434. https://doi.org/10.5474/geologija.1998.020