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  List of Accepted Contributions - NH11.04 Prediction and real-time mapping for natural hazards and environmental monitoring

Please, click Abstract Number to find the corresponding abstract as PDF file; if necessary, download Adobe Acrobat Reader 4.0 first to open the file. Any abstract may be freely reproduced for non-commercial, scientific purposes; however, the moral right of the author(s) to be identified as the author(s) of such abstracts is asserted.

Gret-Regamey, A.; Straub, D.
Spatially explicit valuation of avalanche risks using Bayesian networks

Guinau, M.; Vilaplana, J.M.
Feasible methods for landslide spatial prediction, taking into account the source and the runout zones; example from NW Nicaragua after Hurricane Mitch

Varouchakis, E.; Elogne, S.; Hristopoulos, D.
Geostatistical Applications of Spartan Spatial Random Fields in Environmental Mapping

Sandric, I; Armas, I; Damian, R
Spatial prediction of natural hazards using conditional probabilities models. Various approaches of Bayesian model - different results (withdrawn)

Pozdnukhov, A.; Kanevski, M.
Multi-scale support vector regression for automatic mapping and spatial novelty detection

Liang-feng, ZHU; Xin, PAN
Risk mapping and automatic zonation system of Geo-hazard based on GIS techniques

Marchese, F.; Pergola, N.; Tramutoli, V.
An automatic satellite monitoring system for volcanic activity monitoring in near real-time

Timonin, V.; Savelieva, E.
Automatic Spatial Prediction with General Regression Neural Network

Guzzetti, F.; Reichenbach, P.; Ardizzone, F.; Cardinali, M.; Galli, M.
Estimating the quality of probabilistic landslide susceptibility models

Damm, B.; Varga, K.
Approaches in Spatial Landslide Hazard Modelling in Germany - An Example from the Triassic New Red Sandstone Areas of Northern Hesse and Southern Lower Saxony

D'Alimonte, D.; Cornford, D.
A semi-parametric approach to the identification of extreme events prior to automatic mapping.

Brenning, A.; Dubois, G.
Real-Time Mapping Systems for Routine and Emergency Monitoring: Defining Boundaries between Fairy Tales and Reality

Ingram, B.; Cornford, D.; Evans, D.J.
Automatic mapping in emergency conditions with space-limited covariance functions

Zezere, J.L.; Garcia, R.A.C; Oliveira, S.C.; Reis, E.
Weighting predisposing factors through sensitivity analysis for landslide susceptibility assessment

Constantin, M.
Landslide susceptibility zonation by using GIS in the region between the Slanicul Buzaului and the Buzau Valleys (Romania)

Spoeck, G.; Pilz, J.
Transgaussian Bayesian Kriging and Spatial Sampling Design

Lin, M. L.; Chung, C. J.; Ho, M. H.
Prediction of potential landslides induced by earthquake based on events of the Chi-Chi earthquake, Taiwan

Romstad, B.; Blikra, L.H.; Etzelmüller, B.
A regional hazard model for landslide into Norwegian lakes and fjords (withdrawn)

Kanevski, M.; Maignan, M.
Large scale mapping of radioactively contaminated territories. Chernobyl case study.

Chung, C.
Uncertainty of spatial prediction models for natural hazard

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