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GDAL - Geospatial Data Abstraction Library. GIS / Geospatial podcast and blog

Geospatial Data Abstraction Library - GDAL

by Daniel ODonohue 18 min read

GDAL stands forGeospatial Data Abstraction LibraryYou will find people pronouncing it variably asgee-dal, orgoo-dle. I come back to goo-dle frequently because it trips off the tongue a little more easily than gee-dal.Goo-dle was the original pronunciation. The founder of the GDAL project pronounced it goo-dle for many years. When he stopped being the maintainer of the project, he took a job with Google and found it difficult to say he worked at Google and was the founder of the GDAL project. 

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Raster Frames, spatial imagery in apache spark

Raster Frames - Making imagery a first class citizen of apache spark

by Daniel ODonohue 12 min read

Commercial satellite providers produce somewhere between 100 and 200 terabytes of imagery a day ̶ a monstrous amount of information. Sentinel 2 has five years of daily refresh data. We have 40+ years of Landsat data. It’s a massive amount, particularly in the temporal dimension, where you can do longitudinal studies. Apache Spark and Raster Frames might just be the tools we need to handle this much data.

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