Forest loss driver: new round of Peru annotation#271
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yawenzzzz
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Feb 4, 2026
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LGTM! Just two minor comments.
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| Based on predictions in Peru over five-year period: | ||
| - Select 100 for each of logging/burned/none/river/airstrip | ||
| - Select 500 where max(probs) < 0.5 |
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Suggestion: add "from other categories" so that it's clear that they're targeting different categories
| best_feat = candidate | ||
| best_distance = distance | ||
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| if best_feat is None or best_distance is None or best_distance > 10: |
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Could this be too strict? I mean computing the distance between centroids of two geometries, is it likely that the window is within a polygon but their centroid distance is more than 10?
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This adds code that was used to populate a new Studio project for a new round of annotation of forest loss driver examples in Peru.
rslp/forest_loss_driver/scripts/peru_20260112/README.mddocuments the steps and what the various scripts do.There is also a small fix to vessel attribute transform to work with recent rslearn API changes.