Forest Foresight is a project spearheaded by WWF-NL to map and observe early indicators of deforestation and combine these with other big data sources to predict deforestation. The overarching objective is to identify forests at heightened risk of deforestation up to six months before adverse events occur, and leverage these predictions to improve efforts to stop illegal deforestation. The outputs of the underlying machine learning model are presented in a dashboard and can be prioritized by users based on e.g. legality of deforestation and impact on biodiversity, and allows stakeholders to respond in a timely manner to manage illegal deforestation.

On this wiki we want to give an overview of the various aspects of Forest Foresight and enable users to understand and use the system to halt illegal deforestation. This documentation gives context about the program.

In the Overview section you can find introduction material on Forest Foresight Solution. Here you can also find our slide deck that explains all the different aspects of our method.

In the Forest Foresight Solution section you can find more information about how to follow the Forest Foresight trajectory as a partnering country or landscape, as a company or NGO, or by following the open access or open source route.

In the Resources section we have different materials:

• Our Technical deep dive which explains how we predict deforestation

• Our Guiding principles, both in the implementation trajectory and for technical development

• A manual for users of our dashboards

• Training material on our core functions

• An explanation of our predictive features.

• Documentation about the research done on machine learning, predictive features etc. done by our employees and interns

• Resources for training on different functionalities like R and QGIS that are handy to know when working with Forest Foresight in Open Source or Open Access

• A skill level test for R, Spatial Data Handling and Machine learning to find out if you have the required skills to follow the open source trajectory of Forest Foresight.

We also have a Contact Page on how to get in touch and a Q&A page to answer some questions you might have about our methods or how to work with Forest Foresight yourself.

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