Microsoft has launched its Planetary Computer, a geospatial data platform designed to facilitate scientific research and insights for developers and data scientists. Building on Jim Gray's concept of using vast data and machine learning in science, this platform offers over 50 petabytes of data across 120 datasets, featuring sources like satellite imagery and demographic information. With tools for rendering data on maps and integrating with Python applications, the platform empowers users to explore environmental data effectively, supporting both research and hypothesis testing.
Part of that work led to the development of a common source of geospatial data for use in research projects. Dubbed the Planetary Computer, the project built on a set of open standards and open source tools to deliver a wide variety of different geographic and environmental data sets that can be built into scientific computing applications.
Open the Planetary Computer data catalog and you will find all kinds of useful data: from decades' worth of satellite imagery to biomass maps, from the US Census to fire data. All together, there are 17 different classes of data available, often with several different sources.
The research platform includes a tool to quickly render data sets onto a map, giving you a quick way to start exploring data. It also provides the necessary Python code to include the data in your own applications.
Data like this can help quickly prove or disprove hypotheses. This makes it a valuable tool for science, but what if you want to use it alongside the information st.
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