Dein Suchergebnis zum Thema: Model

The project aims at developing, testing and implementing machine learning routines applied to typical geological datasets to automatically identify structural feature traces and surfaces and differentiate discontinuity types.
significantly influence the classification decisions made by the machine learning model

Short- and long-term changes in precipitation or air temperature modulate the frequency and intensity of cascading alpine mass movements such as rock fall, debris flows, and snow avalanche events.
seasonal and (3) climate scale using different types of models depending on required model

This is a working group with members from all over Europe carrying out research in primeval forest and forest reserves. The main goal of the group is to explore possibilities to join forces, enhance the visibility and exploit the potential of the existing long-term monitoring plots in primeval forests and forest reserves of Europe.
Inferring the tree regeneration niche from inventory data using a dynamic forest model

Informatiker, WSL Birmensdorf, Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf
MODOEKvis: R Shiny visualisation tool for the Model Ecosystem Facility (MODOEK).

and publications [pdf] See list of contributors Database description Database model

Wir entwickeln Methoden, um Landschaftsveränderungen über eine relativ kurze Zeit und in allen drei Dimensionen genau zu beobachten.
anzeigen ¶ Mittlerweile sind dank dem Vegetationshöhenmodell (Vegetation Height Model

Leiter Forschungseinheit, Leiter SLF, Mitglied der Direktion, Snow Avalanches and Prevention, SLF Davos, WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260 Davos Dorf
Model Dev., 18(5): 1829-1849.

Leiter Forschungseinheit, Gebirgshydrologie und Massenbewegung, WSL Birmensdorf, Eidg. Forschungsanstalt WSL, Zürcherstrasse 111, 8903 Birmensdorf
Landslide Early Warning Systems – a modeling case study with the hydro-mechanical Model

In this project, funded by the Swiss Agency for Development Cooperation (SDC / DEZA), we propose to apply large scale hazard indication mapping algorithms to the Himalayan province of Uttarakhand. Our goal is to identify unstable rock/ice masses and perform thermo-mechanical simulations – at the large-scale – to predict the danger of rock/ice avalanches, such as the recent event in Chamoli.
aimed at modelling gravitational mass movements and is made of several modules to model

Geschiebetransport-Forschung der WSL in Wildbächen
electrical-conductivity-based hydrograph separation employing an exponential mixing model