Not much detail on the method? Like what data it takes from iNaturalist - for example if it's taking in GPS coordinates of observations of brambles then it's not clear what there is for the ML model to do.

What detail was in the satellite images, was it taking signals of the type of spaces brambles are in, or was it just visually identifying bramble patches?

In the UK you get brambles in pretty much every non-cultivated green space. I wonder how well the classifier did?

Interesting project.

Hi! You can find a bit more about Gabriel's model through some of his posts over the last few weeks: https://gabrielmahler.org/posts/

When it comes to the satellite images, the model actually used TESSERA (https://arxiv.org/abs/2506.20380) which is a model we trained to produce embeddings for every point on earth that encodes the temporal-spectral properties over a year.

Think of it like a compression of potentially fifty or a hundred observations of a particular point in earth down to a single 128 dimension vector.

Happy to answer any other questions.