From the course: Advanced Geospatial Data Analytics in Python

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NetCDF: An advanced file format

NetCDF: An advanced file format - Python Tutorial

From the course: Advanced Geospatial Data Analytics in Python

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NetCDF: An advanced file format

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- [Instructor] While change detection worked well in the previous video, plotting six images, or potentially hundreds, as the volume of the data grows, may propose a few challenges. Hence, now, we are going to learn about a more advanced technique to handle spatiotemporal raster data. Also, we can make a note that while a series of images will make a lot of sense as an animation, that will be part of a later course. Here, instead, we focus on a more advanced raster file format called netCDF, which you may encounter during your geospatial journey. For this, we will get to know three new libraries, xarray, rioxarray, and h5netcdf. Here, let's import these libraries and double-check the versions we have. Here, while xarray provides pandas-style, labeled and dimensional arrays for scientific data, such as time series of raster grids, rioxarray plugs in the geospatial component to make them geo-referenced. Additionally, h5netcdf is responsible to handle netCDF files. Now, let's load our…

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