0

Your Cart is Empty

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. 

Read More
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.

Read More