| Summary: | With public access available for numerous satellite imaging products, modelling in atmospheric and oceanographic applications has become increasingly more prevalent. Though there are numerous tools available for geospatial development, their use is more commonly applied towards mapping applications. With this being the case, there are a number of valuable texts for using these tools in such mapping applications; though, documentation for processing of remote sensing datasets is limited to brief contributions on personal blogs or manual pages and tutorials specific to one library or dataset. Python programming methods for performing such tasks will be focused on here, collecting various code and information from these text, blogs, etc. and presenting original code that may be employed in scripts to perform commonly required tasks in processing remote sensing data. American-Scandinavian Foundation, Hafrannsóknastofnun, University of Iceland, University of Bergen
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