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A: This was chosen together with our executive partners in Indonesia and Gabon as a workable scale. This means that it is not too large so that it cannot be easily covered in the field and not be too small so that there would be way too many predictions.
Q: Why was six months in the future chosen as the timeline?
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A: No, they are predictions and not events that have necessarily already happened. We suggest using an Early Warning System or yearly forest map classification for this purpose. We do develop a risk map along with our binary classification that can be used for risk analysis. However, we have no metrics on accuracy of this risk map, only on the binary classification that is done based on this risk map.
Q: Isn’t it so that with these predictions it could also help people who deforest to find the right areas of deforestation or to avoid patrols that would go to these areas?
A: This is a tough question to answer. We have written a document discussing this here
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Q: Can I use the tool for predictions of other phenomena than deforestation?
A: Yes! the software tool is data-agnostic, meaning that you can change the input features and groundtruth (on which it is trained) to something else and it will always try to predict the groundtruth with the input features. So you can make this anything you like as long as it follows the required data structure as explained here Preprocessing your own datasets .
Q: My question is not here! What to do?
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