Summary
In this chapter, we learned how to create an NDVI crop health index, a flood inundation model, and an optimal terrain route, which are used every day in government, science, and industry. We were able to use minimal, free cross-platform Python tools instead of expensive commercial GIS and remote sensing tools. In addition to the examples in this chapter, you now have some more reusable functions, algorithms, and processing frameworks for other advanced analyses, which will allow you to solve new problems that you come across in fields such as transportation, agriculture, and weather.
In the next chapter, we’ll move into a relatively new area of geospatial analysis: real-time and near-real-time data.
