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yellowbkpk | 8 years ago
For example, the UK Government flew some excellent LIDAR data missions generating a very high resolution elevation model for most of the country and then put it behind a terrible website where you have to click 3 or 4 times to get a small piece of the data. After a couple hours I built a script to download all the pieces and put them back together into usable sized downloads [1]. Mexico's INEGI has a similar situation, so I had to dig through that to build a scraper [2]. USGS's EarthExplorer uses a terrible shopping cart metaphor for download [3].
All that is to say that the interesting piece with Earth on AWS is that this is public data that smart people are putting in a more easily accessible place for mass consumption and AWS is footing the bill. In return AWS is getting people more interested in AWS products and a set of customers that are more knowledgeable about how to process data "in the cloud".
[0] https://aws.amazon.com/public-datasets/terrain/
[1] https://github.com/iandees/uk-lidar
toomuchtodo|8 years ago
yellowbkpk|8 years ago
The source data is probably the better thing to include in IA, and the GitHub repo is probably the best place to find how to mirror it. If you've got time to spend on it, you might post an issue in there and I can help point you in the right direction.
[0] https://github.com/tilezen/joerd/issues?q=is%3Aissue+is%3Aop...
sdoownek|8 years ago
The National Map, from the USGS, is another example of "ugh", at least it was when it was tile-by-tile download only.
unknown|8 years ago
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