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Introducing Earth Engine for governments and businesses
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Introducing Earth Engine for governments and businesses

Satellite derived Earth Engine image showing seasonal agricultural peaks near the Columbia and Snake Rivers in Washington state. The perfectly round fields are center pivot irrigated corn and soy maturing in different months.

Dynamic World, a global machine learning derived land classification over time available in Earth Engine's public data catalog, was developed in partnership with World Resources Institute (WRI).

Land cover change over time from Dynamic World
Quote from Juan Delard de Rigoulieres Mantelli, CTO of Regrow: “Regrow aims to make regenerative agriculture ubiquitous across the globe with an overall mission to mitigate climate change. Earth Engine has allowed us to scale our technology and increase confidence in our data and reports.”
Quote from Dr. Erin McCreless, Conservation Scientist at Rainforest Trust: “NGIS TraceMark enables near real-time fire and deforestation alerts to be sent directly to the inbox of Rainforest Trust staff, who immediately engage partners on the ground to investigate and intervene.”
Quote from Maude Meler, SC Johnson entomologist: “We are putting the power in consumers’ hands in providing them with a tool to help predict their exposure and prevent mosquito bites. It’s an exciting time to be working in the field of insect science as we find new opportunities to combine science and technology, like Google Earth Engine, to be a force for good in our mission to prevent the spread of insect-borne diseases.”
Animation of a globe with three gears turning.
Animated gif showing the Off!Cast, SC Johnson’s mosquito forecasting tool. A zip code is entered into the tool to show a 7-day forecast that indicates medium, high and very-high.

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