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Various financial analysis' such as counting the number of cars in retailers parking lots, looking for crop shortages among commodity traders, estimating damage from natural disasters to estimate insurance company's exposure.

I'm sure there's also more altruistic uses, such as providing better forcasting and advise for farmers in developing countries.

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Disaster response is one of the altruistic cases. You can use deep learning to measure impact of hurricanes and better allocate resources

But this data can be months or years old, doesn't seem like this would have much value to financial analysts.

It depends on the revisit time, spatial resolution, region of interest, cloud coverage and product type. For example Landsat 8 images the entire Earth every 16 days, Sentinel-2 revisit time is ~5 days with 2 satellites and MODIS provides daily data but at moderate spatial resolution (> 250m). We expect both the spatial resolution and revisit time to improve as more companies are launching satellite constellations.

I did not appreciate that fact. Thanks

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