The European Space Agency has launched a new project that allows android phone users contribute with location data to improve the search for weather forecasts via satellite using an app. In recent years, several studies have been conducted on smartphones, looking at its direct and indirect psychological impact on its effects on parts of the body, such as the bones in the wrist area, after prolonged use.
Finally, scientists have tried to use the sensors installed in a smartphone as a tool for medical analysis. For example, the Google Fit app uses a phone’s selfie camera to measure heart and breathing rates. Google is also working on algorithms that can identify a wide variety of skin conditions from a number of photos clicked from a phone’s cameras. Meanwhile, scientists are now increasing demand for smartphones to participate in even larger-scale projects, such as improving global meteorological forecasting by satellite.
That’s why the Camaliot Project is trying to make a mark. The Camaliot app is funded by the European Space Agency and collects data from phone sources to improve the accuracy of weather forecasts. Once installed on a phone, the application collects GNSS (Global Navigation Satellite System) data, essentially radio information that encodes the location and time data of the satellites. Smartphones are equipped with GNSS receptors and count with this data to provide general location information known as GPS navigation. In the case of Camaliot, the data collected for the application includes the signal intensity and distance of the observed satellites, as well as details of the gateway’s phase. Once the said data is collected and loaded into servers, machine-learned algorithms that monitor atmospheric conditions use it as combinations of training data.
The GNSS data sent by phone will help study the variations in atmospheric vapor content, which are known to affect the state of the Earth’s ionosphere and troposphere. Scientists hope to quantify information related to water vapor and feed it with digital models that could help improve the accuracy of satellite weather forecasts. The team behind the project is working on models for machine learning and the ability to learn with huge combinations of heterogeneous data capturing variations related to the ionosphere and other Sol-Earth interactions relevant to achieving the target.
The Camaliot app, which is currently compatible with phones running Android 7 or later, does not collect any personally identifiable information, such as usernames or email addresses. Likewise, the application will also offer the possibility to download all the location data collected for the application in RINEX3 format, in short, also available on a dedicated online portal. Crowdsourcing of GNSS phone data using the Camaliot application is already underway and will be completed by July 31. android mobile phones, Amazon vouchers up to 200 euros and ESA merchants.
Source: Camaliot, Google App Store, Geo-Wiki.org/YouTube