Analysis of land use in landslide affected areas along the Łososina Dolna Commune, the Outer Carpathians, Poland

Abstract

Land use of landslides is still a poorly investigated problem. Landslides cannot be regarded as areas unsuitable for use since they occupy a significantly large surface. The ºososina Dolna municipality in the Outer Carpathians is characterized by a very large number of landslides (16% of the total area, about 500 landslides). Land-cover analysis of this agricultural and forest municipality showed a relatively similar structure of land-cover types on areas affected and unaffected by landslides. Six categories of land cover: forest, woodland, agricultural fields, meadows, orchards and built-up areas occupy in total 98% of landslides and 89% of the municipality. On landslides forests had an 11% higher and agricultural fields a 3% lower share in land cover compared to the whole municipality area. The shares of other types of land cover, such as built-up areas, orchards, and shrubs, were very similar, with not more than a 1% difference. This indicates that despite the occurrence of landslides, these areas can still be used for economic purposes, and on sites under extensive management (e.g. meadows and pastures) landslides may cause no land-use changes.

Multi-Aspect Analysis of Object-Oriented Landslide Detection Based on an Extended Set of LiDAR-Derived Terrain Features

“…The study area was located in the central part of the Outer Carpathians (in the Małopolskie municipality, Poland), close to Rożnów Lake (Figure 1), and covered latitudes 49 • 43 N to 49 • 46 N and longitudes 20 • 38 E to 20 • 43 E. Most of the study area consisted of agricultural land (42%), while forests accounted for 34% of the total area [22]. Despite the existence of landslides and landslide-prone areas, the affected areas were still extensively used for economic purposes [22]. The broad analysis of landslide density in various land use classes for the presented study area can be found in Kroh [22].…”

“…Despite the existence of landslides and landslide-prone areas, the affected areas were still extensively used for economic purposes [22]. The broad analysis of landslide density in various land use classes for the presented study area can be found in Kroh [22]. Landslide identification is challenging due to extensive land management, in the form of farmland, grasslands, and pasture, and continuous development of constructions in this area ( Figure 2).…”

“…372 landslides were identified with areas ranging from 500 m 2 to almost 3000 m 2 [25,26]. Following Vernes [27] updated classification provided by Hungr et al [28], landslides within the study area are represented From a geological point of view, our study area is located in an area of allochthones mantle built up mainly from flysch deposits [22][23][24][25]. Flysch deposits (i.e., clearly stratified rock series consisting of numerous and alternately arranged layers of sandstones, siltstones, and shales, with rare layers of conglomerates, marls, or limestone) generate very favorable conditions for landslide occurrence [3,8,24,25].…”

“…These maps provide significant information for spatial planning and management institutions [3,13,23,25] and help them to avoid landslide-endangered areas when planning building and infrastructure development. SOPO aims minimizing potential losses resulting from landslide activity [22,25].…”

Sensitivity analysis of automatic landslide mapping: numerical experiments towards the best solution

“…They usually occur on slopes above rivers and creeks. Following the updated Varnes classification (Hungr et al 2014), the landslides investigated are of types 11, 12, and 14-on clay/silt rotational, planar, and compound slides (Kroh 2016). Fieldwork identifying and mapping landslides using the framework of the SOPO system were Original Paper Landslides 15 & (2018)performed from October 2010 to June 2011 .…”