Dr. Somaie Abolhasani https://www.wsl.ch/de/mitarbeitende/abolhasa/
PostDoc, WSL Birmensdorf, Eidg. Forschungsanstalt WSL, Zürcherstrasse 111, 8903 Birmensdorf
urban growth under planning policies through parcel-based cellular automata (ParCA) model
PostDoc, WSL Birmensdorf, Eidg. Forschungsanstalt WSL, Zürcherstrasse 111, 8903 Birmensdorf
urban growth under planning policies through parcel-based cellular automata (ParCA) model
Using two models and a range of indicators we are simulating forest development and
One model is based on coherent stocks and enables a realistic implementation of management
PostDoc, WSL Birmensdorf, Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf
chemistry and oak-herbivore interactions in an anticipation to develop a new tree model
Die Sicherung der Energiewende erfordert die erfolgreiche Umsetzung von Infrastrukturen für erneuerbaren Energieinfrastrukturen in unserer Landschaft.
A hybrid choice model Renew. Sustain.
Using SVAT models, the project analyzes deep soil water availability and aligns TWD
deficit (TWD) and water use efficiency (WUE) as drought stress proxies in the SVAT model
TRAMM war ein Forschungsprojekt im Rahmen des ETH-Kompetenzzentrums für Umwelt und Nachhaltigkeit (CCES) von 2006 bis 2015 mit dem Ziel, Auslöse- und Transportprozesse von Hangrutschungen, Murgängen und Lawinen besser zu verstehen.
Catchment scale hydromechanical model for landslide triggering – Representing localization
OptFORESTS is an European funded project that aims to support the conservation and sustainable use of forest genetic resources.
conserve and utilize unique tree lineages for ecosystem restoration and management, model
Doktorand, SLF Davos, WSL-Institut für Schnee- und Lawinenforschung SLF, Flüelastrasse 11, 7260 Davos Dorf
Landslide Early Warning Systems – a sensitivity study based on the hydromechnical model
Aushilfe, WSL Birmensdorf, Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf
segmentation methods Feature extraction: non-rigid shape matching with custom models, model-based
MiCSS is a SNF-funded project that aims to investigate the key physiological processes underlying tree growth in order to improve forest dynamics and carbon cycle modelling.
stand-level estimates of photosynthesis and translate acquired insights into a new model