Unlock the Power of Geospatial Data with Dash

Analysis of Satellite Imagery

Tuesday, March 28 @ 1pm EDT

It can be challenging to navigate the options for displaying geospatial data. Thankfully, the Python ecosystem for handling this data is growing, and Dash enables a seamless integration of Python analytical workflows with a flexible front-end UI. At Plotly, we’ve seen mapping and satellite monitoring in a number of industries, from manufacturing and farming to crisis and insurance claim management.

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Join Hannah Ker, Technical Project Lead at Plotly, as she teaches basic geospatial functionality in Dash, as well as more complex functions such as the following:

  • Background callbacks deliver computationally intensive processing tasks
  • Popular mapping tools (e.g. geo maps, Mapbox maps, Dash Leaflet, Dash Deck, and Datashader) support a wide range of data types, data volume, and user interactions
  • Processing and visualizing open source satellite image data to identify features of interest
  • Running image classification algorithms and visualizing real-time results

About Hannah Ker

Hannah is a Technical Project Lead at Plotly. She is passionate about creating interactive tools and visualizations to help people make sense of complex datasets. She holds a Master’s degree in Geospatial Data Science from University College London and has worked previously in the humanitarian and civic technology sectors.