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Project Deliveries

Project Deliveries and status updates

Data Analysis of Earth Observation Data From Copernicus Satellites

The following report covers the use of Earth Observation data from Copernicus satellites combined with AI with the purpose of monitoring drought. The report includes a brief introduction to the concept of Open Data Cubes, a description of the Sentinel and Landsat satellites and its data, especially Sentinel-2, and a presentation of the SSDL. It also describes common applications of satellite data. The results obtained are promising, even though further work has to be done in scalability of the method.

The publication 

Swedish Space Data Lab personas

During  2019 The Swedish Space Data Lab conducted a user study to try to understand who our users are and how we can develop the lab to best serve them. At the outset of the study, we decided to make a distinction between our beneficiaries or customers who take decisions to adopt satellite data and related technologies, and users who work hands on the satellite data. The study were conducted in two phases; phase 1 to understand our beneficiaries, followed by phase 2 to understand the users. 

The first phase, was designed as a persona development study, by reaching out to our reference group members and pilot leaders and conducted 10 in-depth interviews that informed our personas. A common representation of personas is using the resume format, but it is important to note that they represent beneficiary attributes and behaviors rather than job descriptions (indeed, they may both overlap).

The AB persona

The CG persona

The ED persona

Data cube for climate adoption - Lake Vänern

This pilot has focused on the state of Lake Vänern with respect to water levels, vegetation and green regeneration. As increasing numbers of open beach areas are becoming overgrown with small trees and bushes, we need to monitor how fast and where overgrowth is becoming a problem in order to identify the locations that need to be maintained.

By using the satellite data from the data cube, the pilot can show how the changes occur over time. Combined with machine learning it is possible to train the application in how to recognise areas that will soon become overgrown.

Working group: Västra Götalands länstyrelseSwedish National Space AgencyRise and Luleå University of Technology. The pilot is developed in collaboration with Metria.

Data cube for climate adoption - Mälardalen

The pilot focuses on measuring ground humidity to predict forest fires, which would have been useful during the summer of 2018 where large areas of forest in Västmanland were destroyed by fire. This is essential in view of the fact that the number of days with low ground humidity and a consequential high risk of fires is likely to increase in the future because of climate change.

The pilot that has been developed aims to identify potential areas where there is a risk of fires and, for example, announce outdoor grilling bans in good time, increase water reserves reservoirs. It also allows us to track the damage that is caused by fires. The primary users of the application will be Västmanland county administrative board and insurance companies as a basis for customer risk assessment.

Working group:  Rise and Västmanland county administrative board


Project Manager

Viktor Lehtonen