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Analyze floods using ONLY Python! (aka spatial data science)
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Analyzing climate change and potential flooding is incredibly important as our world changes, and one way to do this is to use Python and GIS data known as digital elevation models. In this tutorial, we will create a relative elevation model, or model the data relative to the height of a body of water, in this case, the Mississippi River near Cape Girardeau, MO.
0:00 Intro
1:12 What are relative elevation models?
5:42 Downloading USGS data
8:59 Xarray, Rasterio, other libraries, and data prep
11:54 Geocode river using OSMnx
13:53 Create the river elevation model with Xarray and rioxarray
20:09 Visualize with Datashader and wrap-up
Download the data in the tutorials here:
Check out some other posts and resources here:
Other courses to get started with GIS, spatial data science, and data science (affiliate links):
#gis #hydrology #python
Analyze floods using ONLY Python! (aka spatial data science)
Analyze floods using only python! aka spatial data science
Analyze floods using only python aka spatial data science
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