Locamage (@Locamage) profile picture

Understanding the Earth

Joined October 2026
Photo by Locamage (@Locamage)Photo by Locamage (@Locamage)Photo by Locamage (@Locamage)Photo by Locamage (@Locamage)
Meet Finch 1, our first step toward one model that works with any sensor, at any resolution, anywhere on Earth. Trained on imagery from 50+ sensors across satellites, aircraft and drones.
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Day 3 of Finch 1: what changed. Crop types in France through a whole season, and crop mapping from radar alone. Same frozen model, same single linear layer.
Day 2 of Finch 1: what it sees. Land cover in France, buildings in Khartoum, roads and roofs around the Chesapeake Bay, and a wildfire scar in the US, from 20 cm aerial photos to 30 m satellite imagery. Every map comes from one frozen model and a single linear layer.
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On public benchmark test sets: • Crops (PASTIS): +11.3 vs AlphaEarth • Radar crop mapping (CropHarvest China): +8.4 vs OlmoEarth v1.3 Step through the season: locamage.com/blog/what-chang…
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Day 2 of Finch 1: what it sees. Land cover in France, buildings in Khartoum, roads and roofs around the Chesapeake Bay, and a wildfire scar in the US, from 20 cm aerial photos to 30 m satellite imagery. Every map comes from one frozen model and a single linear layer.
Meet Finch 1, our first step toward one model that works with any sensor, at any resolution, anywhere on Earth. Trained on imagery from 50+ sensors across satellites, aircraft and drones.
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Every example comes from a public benchmark: FLAIR2, SpaceNet2, m-Chesapeake and HLS Burn Scars. See them all, with a slider between imagery and map: locamage.com/blog/what-finch…
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If you are a researcher and want to work with us, email [email protected]. Thanks to a16z Speedrun Alpha (@speedrun) and Google's TPU Research Cloud and TPU Builder Program for supporting this work.
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