The aim of this work is to show a proposal for avalanche susceptibility mapping (scale 1:25.000) using Geographic Information Systems (GIS). The map to which the article accompanies (Formigal; Sheet 145-I) follows strictly the dimensions of the Spanish Topographic Cartography series at scale 1:25.000. The Formigal-Peyreget area, located in the Central Spanish and French Pyrenees, is one of the Pyrenean regions where avalanche risk is more noticeable. The methodology involves the use of GIS to model avalanche starting zones, including the multi-criteria cateogorisation of four variables: (i) minimum altitude of the regional isotherm of 08C for the winter months; (ii) slope; (iii) ground cover; (iv) morphology of the slope (curvature). The information presented in the map classifies avalanche start zones susceptibility into four categories: low, moderate, high and very high. This methodology is intended to be used as a reference for the production of future maps of avalanche susceptibility in other regions where the method is deemed appropriate.
The 1:50,000 geomorphological map of the Pyrenean Alta Ribagorza is presented here. The Spanish Alta Ribargoza is located in the northern sector of the provinces of Huesca and Lérida, and includes the highest summit of the Pyrenean mountains (Pico de Aneto, 3404 m a.s.l.). The mapped sector measures approximate 700 km 2 . The basic source of information for the completion of the map was derived from the photointerpretation of two series of aerial photos (the 1981 "Pirineos Sur" flight, scale 1:30,000, black and white; and the 2006 PNOA flight, scale 1:5,000, colour), and field work. The map-legend includes 44 elements classified into six main sections, covering lithology and structure, processes and landforms of glacial, periglacial, nival, hillslope, karstic and fluvial origin, and conventional symbols. The variety of the identified processes and landforms demonstrates the geomorphological richness of this mid-latitude, high-mountain area, and the map constitutes a useful tool for land management.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.