Working with earth data is hard. So hard that for many decades, the difficulty of accessing it has created a barrier to access, cutting off thousands of potential users / companies / research projects.
Earth data, or location intelligence in general, can be applied to any vertical you can name (I promise), but the steps needed to access it are numerous, to say the least. I still remember my first couple of months in grad school. I think I spent that entire first semester trying to figure out how to use harp, so that I could download data, so that I could extract air quality data at….ten points. Painful.
Want more detail? Here’s what you currently have to do in order to access earth data:
I have blog posts that cover these steps in detail, and they’re all free to access. There’s nothing wrong with going through the time-consuming but very rewarding process of figuring out this data pipeline, but it’s often not relevant for a lot of users who use the data as one input in their workflow.
If you just want a few data points for your model, dashboard, or non-EO related project, this is the tool for you.
Here’s what your earth data workflow CAN look like:
What can you ask for? Here are a few examples:
I want air quality data extracted at all locations across Canada for the first week of the year.
I want rasters of temperature cropped to my city for each week of July.
I want a time series plot of wind speed across all major cities in the US.
And more.
We are building a platform that reduces all of the friction. Tell us what data you want, and get back to the analysis that matters. That’s it. That’s the goal.