The CSEOL journey kicked off almost 2 years ago. Following the CSEOL Innovation Funnel, CSEOLab received more than 30 innovative ideas where 10 ideas were shortlisted and entered into the greenhouse phase. Then, different teams developed their proposals, went through a BootCamp and during a Pitch Day, 5 CSEOL Pilot Projects were selected to receive funding and implement their projects.
During the past 16 months, the 5 CSEOL Pilot Projects have implemented their projects and during Demo Day on Wednesday, 16 December 2020, they showcased their results and shared their lessons learned. In addition, the CSEOLab presented the CSEOL Innovation Methodology and outlined a roadmap for the future of fostering innovation in citizen science and earth observation.
The IceWatchApp pilot project team presented its user-friendly app for collecting sea ice observations in the Artic with multiple user levels (basic and advance, depending on the training received). The app is synchronized every hour with the IceWatch website. The observations are linked to cruises and general data such as latitude/longitude, photos. Data related to the meteorological conditions and sea ice can be also displayed on the website.
The PhenoTandem team designed the protocol for phenological in-situ observations via a series of co-design sessions, selecting the best areas of observation. During the project lifetime, they developed two citizen science campaigns (during spring and autumn 2020) to promote in situ observations. In addition, they have demonstrated that remote sensing data correlates with in-situ observations.
The Schools and Satellites pilot project aims to contribute to food security in West Africa with improved rain forecasting methods. During Demo Day, they presented the first test of the RainRunner rainfall retrieval algorithm which operates from the data cube, and, compared to other products, has better resolution. They have complemented satellite data with the existing rain gauge network of schools and farmers who measures daily the rainfall via the SmartPhones4water app.
The Sentinel Citizen pilot project team established an Atmospheric Commons and formulated a set of recommendations for taking concrete actions on local air pollution. In addition, they presented the first iteration of the Local Air Pollution Forecast statistical model that combines data provided by the citizen science community (Hollandse Luchten), and CAMS ensemble forecast.
The MySnowMaps pilot project team presented a new procedure to develop an accurate map based on machine learning. Moreover, the MySnowMaps app is now available in the Google Store. They presented the first version of a White paper describing how to use Mysnowmaps® to plan an off-piste excursion.