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The use of consistent and comprehensible spatial data is fundamental for ecosystem research, in particular in the context of long-term observation series. Methods in geographic information sciences for spatial information analysis allow to build and link complex models of different scientific fields.

Tasks and main research:

Analysing spatial and temporal data and modelling natural phenomena and processes.
Developing methods for the analysis of big geo-data collected casually (rather than according to a well defined design) at different spatial scales.
Developing and implementing concepts to provide spatially distributed geographic information (Virtual Data Center).
Maintaining and advancing the National Forest Inventory NFI-database and the Datacenter Nature and Landscape DNL, developing software for the NFI and DNL and implementing the long-term availability of spatial and statistical data and related methods.
Maintaining and advancing the services, software and database for the WSL Data Portal envidat.ch.
Maintaining and advancing the Geographic Information System of the WSL.
Transferring knowledge at the university level, through lectures, support and supervision of Master- and PhD-theses in the main topics of the GIS-Group.

FURTHER INFORMATION

Projects

SOLID - SOiL Information for species Distribution modelling

In this project, we are investigating the extent to which the spatial predictability of forest plant species and fungi can be improved by using high-resolution soil maps. In addition, we analyse how climate change affects the distribution of different species and what role soil plays in this.

GenDiB

Intraspecific genetic diversity is a component of biodiversity that is often overlooked. Therefore, GenDiB sets out to compile the basic principles for establishing a new database comprising data on genetic diversity in populations of wild species in Switzerland.

Pre-study soil inventory

In the years 2021 - 2025, the forest soil survey of 1993 on the 8 x 8 km will be repeated. This grid does not cover all combinations of soil formation and environmental factors that potentially occur in Switzerland. This project evaluates the most efficient way to close these gaps.

Nutzbarmachung der LFI-Ergebnisdaten mit Linked Data

Das Projekt LD-LFI hat zum Ziel den Transformationsprozess als Prototypen zu entwerfen, um die Ergebnisse des Schweizerischen Landesforstinventars in Linked Data zu transformieren und in die Infrastruktur des Bundes zu integrieren.

High-resolution soil maps for the Swiss forest

In this project we model high-resolution soil maps with different soil properties such as pH or texture for the entire Swiss forest.

Joint models in biodiversity modeling

This project aims to evaluate advantages and potential pitfalls of JSDMs in biodiversity modeling

MoGLI – modelling woody species in NFI

The main goal of MoGLI is to project the potential distribution of the most common Swiss woody species across the entire forested area of Switzerland.

EnviDat: the Environmental Data Portal

EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

Redevelopment of the single tree growth model Massimo

Massimo ist ein Distanz- und Positions- unabhängiges Einzelbaum Wachstumsmodell, basierend auf dem Netz des Schweizerischen Landesforstinventars. Die Module für Wachstum, Mortalität, Störungen und Bewirtschaftung basieren auf empirische Modelle die mit Daten des LFI angepasst wurden.

Predictive Analytics in Big Data

Predictive analytics deals with extracting patterns from series of data, such as observational, in order to better understand and predict the evolvement of spatio-temporal phenomena.

Beurteilung von Schutzwäldern mittels Fernerkundung

Ziel dieses LFI-Projektes ist es, Methoden der Fernerkundung zur Beurteilung der aktuellen Schutzwirkung und Verjüngung von Schutzwäldern zu entwickeln. Im Fokus stehen die Möglichkeiten von terrestrischem (TLS) und flugzeuggestütztem Lasesscanning (ALS).

Ressourcenverfügbarkeit im Schweizer Wald

[Translate] Um eine effiziente und zeitgemässe Waldbewirtschaftung zu gewährleisten, ist eine ausreichende Strassen-Infrastruktur und darauf angepasste Holzernteverfahren unabdingbar.

Auswertungssoftware NAFIDAS

Die NAFIDAS Auswertungssoftware ermöglicht konsistente und verlässliche Berichte mittels Daten des Schweizerischen Landesforstinventars LFI in Form von Tabellen und Karten.

The data analysis system NAFIDAS

The national forest inventory data analysis system (NAFIDAS) allows producing reliable tabular reports using data of the Swiss national forest inventory (NFI) and involved cantons.

Datacenter DNL

The purpose of the project DNL is to integrate existing national biotope inventories (bogs, flood plains, meadows, etc.) into a database and connect it to further datasources of the FOEN. Particularly the lineage of the data with all scientific and political processes shall be documented.

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Staff

GIS

Martin Hägeli	Groupleader
Dr. Andri Baltensweiler	Scientist
Sandro Bischof	Technical staff member
Julian Bleiker	Temporary employee
Enikö Fey	IT specialist
Dr. Marielle Fraefel	Technical staff member
PD Dr. Rolf Grütter	Scientific staff member
Dominik Sebastian Haas-Artho	Software engineer
Dr. Ionut Iosifescu Enescu	Software engineer
Marco Kronenberg	Software engineer
Rebecca Kurup	Software engineer
Xinhang Li	Trainee
Rolf Meile	IT specialist
Cécile Nyffeler	Software engineer
Dr. Francesco Rota	Postdoc
Christian Schmid	Software engineer
Sandro Silva	Software engineer
Maria Elena Vargas Amado	PhD student
Samuel Woodcock	Software engineer
Lukas Wotruba	IT specialist
Dr. Florian Zellweger	Scientific staff member
Tamara Zollinger	Temporary employee

Services und Products

MoGLI – modelling woody species in NFI

The main goal of MoGLI is to project the potential distribution of the most common Swiss woody species across the entire forested area of Switzerland.

Person in charge: Andri Baltensweiler

SOMA-CH - High-resolution soil maps for the Swiss forest

The aim of the project is to produce high-resolution soil maps for the Swiss forest. The soil maps, which are based on about 2000 soil profiles, contain chemical and physical properties such as pH, texture or carbon content for various soil depths. The soil depth itself is also modelled.

Person in charge: Andri Baltensweiler

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