Course

Climate Geospatial Analysis on Python with Xarray

Coursera Project Network

Embark on a journey to master climate geospatial analysis using Python and Xarray. In this course, you will delve into the manipulation and visualization of multidimensional geospatial data, specifically focusing on a dataset encompassing temperature, vegetation density, and total precipitation in the Brazilian Amazon from 1979 to 2019.

  • Load, export, and interact with climate NetCDF datasets
  • Apply simple and grouped operations over multidimensional data
  • Navigate and visualize complex geospatial data

By the end of this project, you will possess the expertise to handle and extract valuable insights from intricate datasets, particularly those derived from satellite and climate re-analysis observations. Note that this course is optimized for learners based in North America, with plans to expand to other regions in the future.

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Climate Geospatial Analysis on Python with Xarray
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