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Active projects and challenges as of 17.09.2025 15:07.

#swisseo

Sentinel-2 Raw Data and Vegetation

How to search and access publicly available satellite data through STAC


~ PITCH ~

This resource provides a Python-based tool that leverages SwissEO products — specifically Sentinel-2 Surface Reflectance ("swisseo_s2_sr") and Vegetation Health Index ("swisseo_vhi") — to enable rapid post-storm forest damage assessment.
It demonstrates how to search and access publicly available satellite data through the STAC interface of swissEO S2 SR , swissEO VHI and perform image processing using open-source Python libraries.

The accompanying Jupyter Notebooks explain how to compute the Normalized Difference Vegetation Index (NDVI) or VHI from Sentinel-2 spectral bands and use it for identifying potential windthrow areas.
Furthermore, a VHI difference analysis between two acquisition dates is showcased to efficiently detect and map damage areas.

This resource is intended for stakeholders who require a fast and independent overview of storm impacts on forests and is built entirely on open standards and free software (Python).

Available Resources:

hellodata-be

The Open-Source Enterprise Data Platform in a single Portal


~ PITCH ~

We are setting up a sandbox environment for participants of the Data Hackdays. Details on how to access it will be posted here soon. In the meantime, please ask Oleg if you have questions.

~ README ~

🇬🇧 English | 🇩🇪 Deutsch

HelloDATA BE: Open-Source Enterprise Data Platform

The Open Enterprise Data Platform in a Single Portal

HelloDATA BE integrates the prowess of open-source tools into a unified, enterprise-grade data platform. It simplifies end-to-end data engineering by converging tools like dbt, Airflow, and Superset, anchored on a robust Postgres database. Our platform encapsulates the agility of open source with the dependability of enterprise solutions, streamlining your data workflow in one accessible portal.

Vision and Goal

Agile and transparent data platforms are vital in a rapidly evolving digital landscape. HelloDATA BE tries to help by offering an open-source solution tailored to enterprise needs. Our mission is to democratize data and provide end-to-end- innovation-driven data handling. Learn More.

Quick Start

Essential Setup

  1. Docker Desktop Settings: For Mac users, adjust Docker Desktop settings for multi-platform support (especially for arm64-chip users). Details.
  2. Hosts File Entry: Ensure 127.0.0.1 host.docker.internal is added to /etc/hosts. For Windows enable in Docker Desktop WSL settings How to.

Start-Up Instructions

Change directory to hello-data-deployment/docker-compose and run:

docker-compose up -d

Pulling all images and starting up the containers will take a while. Once completed, access the web portal at localhost:8080 (default: admin/admin).

Note:

Key Features

HelloDATA BE is more than a platform; it's a holistic data solution:

  • Unified enterprise data platform with a seamless open-source toolkit.
  • Domain-centric architecture for effective data governance.
  • Robust data modeling with lineage tracking.
  • Real-time insights into runs and orchestrations.
  • Company-wide dashboard creation and sharing.

Architecture and Components

HelloDATA BE is built with modularity and extensibility architecture in mind, supported by NATS, Keycloak, and more, ensuring secure, efficient, and adaptable data handling. Explore the Architecture.

Domain View: Business and Data Domains

The different views are a vital aspect of the HelloDATA BE. Adding multiple business domains with n data domains makes it enterprise-ready out of the box.

  • Business Domain: Core services, including portal, orchestration, and monitoring.
  • Data Domain: The heart of data storage, encompassing tables/schemas, dbt data models, data marts, DWH environments, and more.

Multiple Data Domains coexist in each business domain, each with dedicated storage and specialized data models. Dive Deeper. Also, check the User Manual for a detailed functional overview.

Docs Website: All the reference and developer documentation here on GitHub is also found as a website for more comfort.

Contributing to HelloDATA BE

Join our development journey:

Development Status

Stay updated with our progress and plans on our Roadmap, or get in contact with Discussion or PR/Issue.

Contributors

(in alphabetical order)

License

HelloDATA BE is released under the BSD 3-Clause License. Copyright (c) 2024 Kanton Bern.

Get in Touch

We recommend you start a discussion here on GitHub or create an issue. Alternatively, you can reach us at info-hd-be@bedag.ch.

Public-Use Samples

OFS/BFS/UST


~ PITCH ~
  • Stichproben der schweizerischen Volkszählungen 1970-2000
  • Echantillons à usage public des recensements suisses de la population 1970-2000
  • Created: 12.05.2023
  • Updated: 12.05.2023
  • Progress: 15% (Project)
  • Permalink

Wikidata / OSM

Resources for Bern Spaziergänge project


~ PITCH ~

Liste der Kulturgüter in Bern Unterteilt nach Stadtteilen. Je Objekt Bildmaterial mit jeweils Commons.Wikimedia Category und Wikidata Item

https://de.wikipedia.org/wiki/Liste_der_Kulturgüter_in_Bern

Public art in Bern (~ 380 Objekte) Je Werk Bildmaterial mit jeweils Commons.Wikimedia Category und Wikidata Item

Freies Bildmaterial der Werke: https://commons.wikimedia.org/wiki/Category:Public_art_in_Bern

Übersicht auf uMap von OSMCH wo sich die Werke befinden: https://umap.osm.ch/de/map/public-art-in-bern_2444

Input, was woher warum etc. blabla https://commons.wikimedia.org/wiki/Category_talk:Public_art_in_Bern

Fountains in Bern (~ 340 Objekte) Je Werk Bildmaterial mit jeweils Commons.Wikimedia Category und Wikidata Item

Freies Bildmaterial der Werke: https://commons.wikimedia.org/wiki/Category:Fountains_in_Bern

Übersicht auf uMap von OSMCH wo sich die Brunnen befinden: https://umap.osm.ch/de/map/brunnen-in-stadt-und-gemeinde-bern_124

Provided by:

Andreas Bürki

abuerki at anidor.com
S/MIME certificate - SHA-256 fingerprint:
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GnuPG - GPG fingerprint:
5DA7 5F48 25BD D2D7 E488 05DF 5A99 A321 7E42 0227
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