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.

This update bears on 5 kinds of work in 3 markets. Highest level accepted: L2 Partial automation.

Highest accepted

L2Partial automation

Work

5

Markets

3

Views

14.1K

The work it bears on

Highest level first. Open a kind of work to see everything else that moved it.

• L2Partial automation
  Develop algorithms and study computational propertiesComputing and engineering research
  L2 Partial automationFrom the publisher only
• L2Partial automation
  Build research prototypes and run comparative experimentsComputing and engineering research
  L2 Partial automationFrom the publisher only
• L2Partial automation
  Model climate geological and environmental processesEarth climate and environmental research
  L2 Partial automationFrom the publisher only
• L2Partial automation
  Collect and prepare earth and environmental observationsEarth climate and environmental research
  L2 Partial automationClaimed L3 · Accepted L2From the publisher only
• L2Partial automation
  Design experiments and observations and analyze physical dataMathematical physical and astronomical research
  L2 Partial automationFrom the publisher only

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