Thanks for the opportunity to clarify, and also for the reminder to slow down. I appreciate both.
The state of the science right now is that we currently measure soil carbon using soil probes, soil sensors, which require people walking into the field and actually taking soil samples and measuring them. Increasingly, the goal is to use satellite imagery, which is now of a sufficient resolution that satellites are increasingly able to distinguish between major crop types, and then use the size and the colour of the foliage—the amount of green and the amount of red the plants reflect back—as a way of interpreting and interpolating how much carbon is being absorbed by the soil.
Now, this requires lots of artificial intelligence algorithms to link observations on the ground with the observations from the satellite. There's some scientific research that definitely needs to be done, so I do not want to say we are ready to launch a measurement, reporting and verification system using only remote sensing yet, but I think that with a few years of work—collecting soil data, relating it to remote sensing data—we should be able to build artificial intelligence algorithms that will predict, based on a small questionnaire that farmers would fill in, plus the remote sensing data, how much additional greenhouse gases are being absorbed by the soil.
That's the trajectory the scientists are on right now.