GIS-assisted classification of litho-geomorphological units using Maximum Likelihood Classification, Vipava Valley, SW Slovenia

• Published in: Landslides Vol. 15; no. 7; pp. 1415 - 1424
• Main Authors: Verbovšek, Timotej, Popit, Tomislav
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2018; Springer Nature B.V
• Subjects: Agriculture; Alluvial deposits; Alluvium; Alternations; Automatic classification; Avalanches; Breccia; Carbonates; Civil Engineering; Classification; Cliffs; Curvature; Deposits; Earth and Environmental Science; Earth Sciences; Elevation; Flysch; Fossils; Geographical information systems; Geography; Geological mapping; Geomorphological mapping; Geomorphology; Gravel; Landslides; Landslides & mudslides; Mass; Mesozoic; Methods; Mudflows; Natural Hazards; Paleogene; Plateaus; Quaternary; Quaternary deposits; Ruggedness; Sandstone; Slope; Slopes; Solifluction; Technical Note; Training; Slovenia; GIS; Vipava Valley; Litho-geomorphological units; Maximum Likelihood Classification; Mapping; Slovenia; Slope deposits
• ISSN: 1612-510X; 1612-5118
• DOI: 10.1007/s10346-018-1004-2

In the Vipava Valley (SW Slovenia), various types of mass movements occur in a geologically and geomorphologically diverse setting. These comprise various types of landslides, creep, and Quaternary slope deposits of carbonate blocks and recent scree deposits. A general geological setting is represented as Mesozoic carbonate overthrust on Paleogene flysch (alternations of mostly sandstones and marlstones), resulting in steep slopes and mass movements. Our study is based on the automatic classification of various litho-geomorphological units including slope deposits, alluvial deposits, steep carbonate cliffs, flysch, two carbonate plateaus, and Quaternary deposits, based on supervised Maximum Likelihood Classification. Several polygons were used for training in the broader valley area, and later, the method was applied to automatically classify the complete area into the abovementioned six units. For input layers, we used data for elevation, slope, terrain ruggedness index (TRI), and curvature. Results show that generally, the method is suitable for classification of the litho-geomorphological units including slope deposits. However, comparison with a more detailed map, comprising mapped various mass movements indicated that the method correctly predicts high Trnovo plateau carbonates, steep carbonate slopes, translational carbonate blocks, and fossil rock avalanche deposits, and alluvial deposits, but is not able to clearly distinguish between flysch and more recent slope deposits of gravel and breccia due to their similar elevation, TRI, and slope values. The Slano blato mudflow and Stogovce landslide are not recognized. Therefore, this automatic classification can be carefully used to create a guidance map of general occurrences of litho-geomorphological units including slope deposits before going to the field, with the aim of delineation of slope deposits so they can be further studied in detail later in the field. However, such a map cannot be used as a direct substitute map for the geological and geomorphological map obtained in the field due to impossibility in distinguishing among the units with the same properties (elevation, slope, and TRI values).