Field Testing Satellite-Based Bramble Detection for Hedgehog Habitat Mapping
By
sadiq
Fresh out the oven, still warm. Top of the tray.
Summary
Researchers conducted field testing of a machine learning model designed to identify bramble habitats from satellite data, specifically for hedgehog conservation mapping. The model combines TESSERA earth representation embeddings with iNaturalist data using an ensemble of logistic regression and k-nearest neighbors classifiers. The team performed ground-truth verification around Cambridge to validate whether satellite-based detection of brambles is accurate.
Key quotes
· 4 pulledHedgehogs seem to like brambles and so as part of his work he has produced a bramble map
He did this by combining the TESSERA earth representation embeddings (using the geotessera library) with data from iNaturalist
The current model is an ensemble of logistic regression and a knn classifier
Can we really see brambles from space? What better way to test the model than a quick field trip around Cambridge
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