This week as world leaders met for both the United Nations General Assembly and

Climate Week, Planet Labs and its CEO, Will Marshall, announced a new product, the world's

first forced carbon monitoring system at 3 meter

resolution. Today's announcement with forest carbon that is an AI-powered

data set

like Earth imaging and does a machine learning tool to estimate the amount of carbon in every tree.

And the hyper spectral data from the Tanager spacecraft is going to be another boon for AI.

Because there are all these color bands you can distinguish between different objects on the ground in

myriad of ways.

It's hard to do that as a person.

But if you train it on some data, hey,

this is what we know from Grosom Ground Truth,

then you should be able to find those things around the world.

Planet, which touts the largest Earth observation constellation in low Earth orbit, launched

its new hyper spectral satellite, Tanager 1, in August.

This week, the publicly traded company, which has a 600 million dollar market cap shared

the new satellite's first imagery as the data it collects will be used to monitor

and mitigate methane and CO2 emissions. We have 200 satellites that image the whole worth every day, but

Tanagers are first that is hyper spectral. Now what the heck does that mean? So it

means that we take images, but each image has 400 color bands, spectral bands we call them.

So 400 colors with which you can have sensitive measurements of things like gases, the type of tree in a forest, so it's an extremely sensitive color

measurement. We can do a spectrograph from these that enable us to to measure methane emissions

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