Abraham Coiman

In this talk, we will show you the use of geospatial Python libraries within a Jupyter Notebook to map VIIRS active fires in South America. We will show you a straightforward workflow to visualize interactively VIIRS active fires using Geopandas and Folium libraries. This workflow could be easily customized to map active fires in any country around the world.

In this talk, we will show you the use of geospatial Python libraries within a Jupyter Notebook to map VIIRS ( Visible Infrared Imaging Radiometer Suite ) active fires in South America. We will show you a straightforward workflow to obtain and map input geospatial data to visualize interactively VIIRS active fires using Geopandas and Folium libraries. zoom_start parameter in Folium library is always set manually, thus in this talk, we will demonstrate how to calculate automatically zoom level using the bounding box of a given country. This workflow could be easily customized to map active fires in any country around the world. We expect the audience has a basic understanding of GIS, Remote Sensing, and Python programming. Repository link: https://github.com/acoiman/mapping_wildfires