As part of the Particulate Matter Forecast Service, a model was developed to facilitate the access to results of the WRF simulations. A 3D visualisation for air quality in the greater area of Stuttgart was created using the software Vistle. This allows an interactive exploration of the model along with other data sets. Users can navigate through the virtual world and switch between various modes to examine multiple data sets simultaneously. This enables a combination of simulation data with geo data and thus establishes points of reference for users. Moreover, it allows the comparison of multiple components such as the concentration of nitrogen oxide and particulate matter.
The following video gives insights into this model and demonstrates its application in virtual reality environments.
The European satellite missions of the ESA generate a steady stream of new data from space. The Copernicus Missions provide the satellite data as open data. We want to inform about the images and their potential.
These data sets are to be used by governments, citizens and any stakeholders and we want to answer some questions and discuss publicly:
Earth observation networks, e.g. in-situ sensors and remote sensing systems, deliver a multitude of data capturing the state of our environment. The data sets delivered are highly valued by scientists and other stakeholders from various domains and backgrounds such as hydrology, marine sciences, traffic management, environmental monitoring, energy supply or smart city systems. An active research and development community works on new approaches to share, manage, discover, analyze, and visualize such sensor data. The Geospatial Sensing Conference gives an overview of current developments and provides a discussion platform for scientists, developers and users.
TRUST: Humans, Machines & Ecosystems is the topic of the meeting organized with the CGIAR platform for big data in agriculture and held at ICRISAT campus in Hyderabad, India during 16-18 October. https://bigdata.cgiar.org/hyderabad-2019/
The Platform for Big Data in Agriculture harnesses the power of big data for agricultural research and development.