Terrestrial mass movements (i.e. cliff collapses, soil creeps,
mudflows, landslides etc.) are severe forms of natural disasters
mostly occurring in mountainous terrain, which is subjected to
specific geological, geomorphological and climatological
conditions, as well as to human activities. It is a challenging
task to accurately define the position, type and activity of mass
movements for the purpose of creating inventory records and
potential vulnerability maps. Remote sensing techniques, in
combination with Geographic Information System tools, allow
state-of-the-art investigation of the degree of potential mass
movements and modeling surface processes for hazard and risk
mapping. Similarly, through statistical prediction models, future
mass-movement-prone areas can be identified and damages can to a
certain extent be minimized. Issues of scale and selection of
morphological attributes for the scientific analysis of mass
movements call for new developments in data modeling and
spatio-temporal GIS analysis.
The book is a product of a cooperation between the editors and
several contributing authors, addressing current issues and recent
developments in GI technology and mass movements research. Its
fundamental treatment of this technology includes data modeling,
topography, geology, geomorphology, remote sensing, artificial
neural networks, binomial regression, fuzzy logic, spatial
statistics and analysis, and scientific visualization. Both
theoretical and practical issues are addressed.
General
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