Collect and prepare earth and environmental observations

As of 2026-10-09, AI does this work at L2 Partial automation. 3 updates bear on it. Strongest evidence: From the publisher only.

Level

L2Partial automation

Updates

3

Companies

1Google

Strongest evidence

T3From the publisher only

Held by a non-technical condition: Manual Dexterity · Physical Presence. The level above is what the evidence supports. Whether the work may be handed over is a separate question.

What moved it

Every update that bears on this work, newest first.

• 2026-09-03Google
  Google DeepMind introduces WeatherNext 3

  Google DeepMind and Google Research introduce WeatherNext 3, a global weather AI model using real-time satellite data for hourly high-resolution forecasts, up to 5x sharper than WeatherNext 2.

  L2 Partial automationClaimed L3 · Accepted L2From the publisher onlySource ↗
• 2026-09-01Google
  Google Research presents MAPL-EMIT methane tracking model

  Google Research describes MAPL-EMIT, a deep-learning model that automates global methane tracking from space, with a dataset released.

  L2 Partial automationClaimed L3 · Accepted L2From the publisher onlySource ↗
• 2026-08-27Google
  Google Research introduces planetary prediction engine

  Google Research introduced an experimental research capability that automates global geospatial modeling workflows for applications such as public health and food security.

  L2 Partial automationFrom the publisher onlySource ↗

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