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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: An Early Warning System is used as a general term in two instances: to alert before an event happens or to alert as soon as possible when an event has happened. Though the term Early Warning System is used way more often than our Predictive Warning System we have experienced that the term is mostly used to describe the latter (report as soon as possible after the fact). By changing the name of our System we want to differentiate ourselves from that.

Q: Can the predictions be used for monitoring purposes?

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

View file
nameAiding and Abetting from an FF perspective.docx
and find that it is safe to say that there is a lot more positive expected impact than negative expected impact with having Forest Foresight Open Access and Open Source

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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A: We find it more important that the user has full control over the scripts to make it their own than to give the easiest experience possible. For non-technical people we provide the pre-made predictions monthly that can be downloaded with a GUI. Do note that it requires very little scripting skills to get started with building and running a model, as explained here.

Q: what are the predictive features of Forest Foresight?

A: We have quite a few! They can be found on this page.

Q: Do you need to have scripting skills to add new features?

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