One more way AI can help us harness one of the most underutilized datasets in the world

peter.suber's bookmarks 2023-03-22


"Satellite data may be one of the most underutilized datasets in the world.  At Planet alone, we have six years of documented history — which means we have over 2,000 images on average for every point on earth’s landmass. This dataset at high resolution never existed before Planet came along and created it.  What this dataset means is that you can see a lot of change…if you know where to look.  We’re pulling down 30TB of data daily (nearly 4 million images!) off of ~200 satellites, and it would be impossible for humans to look at, consume and derive insights from all of that manually. Some days, it can literally feel like the world’s largest hidden picture puzzle.  That’s why we crucially need artificial intelligence (AI) and machine learning (ML) to detect and inform us about what’s in this imagery. Given the size of our archive, it’s a veritable playground for Planeteers and our partners to train AI and ML models and to build algorithms that can extract objects and patterns – to find newly-built roads, identify collapsed or raised buildings, monitor change in forests throughout time, or track surveillance balloons over oceans – all possible today...."


From feeds:

[IOI] Open Infrastructure Tracking Project » Items tagged with in Open Access Tracking Project (OATP)
Open Access Tracking Project (OATP) » peter.suber's bookmarks


oa.usage oa.images oa.geo oa.climate

Date tagged:

03/22/2023, 08:54

Date published:

03/22/2023, 04:53