What is the Swiss Data Cube?
Pressures on natural resources are increasing and a number of challenges need to be overcome to meet the needs of a growing population in a period of environmental variability. Some of these environmental issues can be monitored using remotely-sensed Earth Observations (EO) data that are increasingly available from a number of freely and openly accessible repositories. However, the full information potential of EO data has not been yet realized. They remain still underutilized mainly because of their complexity, increasing volume, and the lack of efficient processing capabilities.
EO Data Cubes (DC) are a new paradigm aiming to realise the full potential of EO data by lowering the barriers caused by these Big data challenges and providing access to large spatio-temporal data in an analysis ready form.
The main objectives of the Swiss Data Cube (SDC) is to support the Swiss government for environmental monitoring and reporting and enable Swiss scientific institutions (e.g., Universities) to facilitate new insights and research using the SDC and to improve the knowledge on the Swiss environment using EO data.
The Swiss Data Cube is a joint initiative of:
6-month Postdoc position at University of Geneva
Are you an Environmental/Land Change specialist, Remote Sensing specialist, computer scientist or data scientist with Remote Sensing skills? Do you thrive in an interdisciplinary environment? Are you excited to explore new research areas at the interface of Environmental and Computer Sciences? Are you a proactive learner with a computational background? If so, this Postdoc position […]
Swiss Data Cube – upgrade
We are pleased to announce that the Swiss Data Cube has been upgraded with the latest software development made available by the Open Data Cube community. This brings new functionalities and notebooks as well as bug fixes and code improvements. The list of new features is available on the ODC GitHub. This is a first […]
First Sentinel-1 Analysis Ready Data ingested
The first Sentinel-1 Analysis Ready Data have been successfully ingested in the test version of the Swiss Data Cube. By early 2019, the entire Sentinel-1 archive (starting from 2014) will be available on the production server, and continuously updated. This work is done under an active collaboration with Dr. David Small of the University of […]
Drought impact on Lac des Brenets
Switzerland is currently knowing one of its most important drought of the last 40 years. Prolonged heat and dryness conditions during late spring, summer, and early autumn of 2018 has led to drought in most European countries (see). Different lakes in Switzerland are suffering from water shortages and their water levels are declining. This is […]
Tweets
Extremely honoured that the #SwissDataCube has been featured in this report from the rectorate of the University of Geneva @unige_en @unige_ise @GRIDgva @foenCH
Interested in developing innovative methodologies for #LandCover #mapping using #MachineLearning #DeepLearning with the #SwissDataCube ? We open a 6-month #postdoctoral position:
https://t.co/nbOqkSOAwk
@unige_en @newsCUI @unige_ise @GRIDgva
RT @skalpovic81: RT @SwissDataCube: Interested in developing innovative methodologies for #LandCover #mapping using #MachineLearning #DeepLearning with the #SwissDataCube ? We open a 6-month #postdoctoral position:
https://t.co/yE3qWDgqm9
@unige_en @newsCUI @unige_ise @GRIDgva
We just open a #postdoctoral position to work with the #SwissDataCube on #LandCover #mapping
#EO4impact @OpenDataCube @GEOSEC2025
