The new geospatial intelligence platform introduced by Google through Google Earth AI has made a significant step forward to incorporate the most sophisticated model known as Gemini to aid in the prediction of disasters and tracking the health complications of the world.
Developed to process satellite imagery, weather information, population change, and environmental monitors, Earth AI employs geospatial reasoning and geo immersion at Gemini to answer complicated, real world queries.
As an example: which communities will be affected in case of a significant flood, in which place might there be a danger of an algae bloom, and how can the outbreak of diseases be followed in advance?
How It Works
Using the given system, three base foundation models are tapped: imagery (satellite and aerial), population dynamics, and environment/sensor data.
Gemini is an arbitrator or broker, using the query in natural language fronted by a user (say, “Which school zones are at risk in the approaching cyclone? Are you telling me? What do you think these other models know that then faces you with an answer?
Google Research
Earth AI already has real world applications at a practical level.
The African regional office of the World Health Organization is also employing the population and environment models in determining the areas in the Democratic Republic of Congo that are prone to cholera outbreaks.
Forecasting floods of more than two billion individuals in the world is also covered by the system.
According to Google, Earth AI will soon be introduced into its professional versions of Google Earth and Google Cloud and will provide the features that could only be available through complex and tedious manual alert processes previously.
Why It Matters
As natural disasters and the crises related to the state of human health become more frequent and more complicated, such means as Earth AI can be seen as an opportunity to stop at the stage of crisis reaction and transition to the next phase of predicting the crisis.
Connecting environmental change, data on infrastructure vulnerability, and human population, it provides more in depth information as compared to simple forecasting.
To take an example, instead of simply anticipating the coming of a storm or a flood, the system can determine the neighborhoods that will suffer most, where these critical infrastructures are located, and what response resources will be necessary.
That is to say, better preparedness and potentially lives saved.
Healthwise, being able to combine sensors of pollution (pollution levels), population flow, and modelling of diseases will allow an earlier alert when there is an outbreak, particularly in areas that do not have data rich soil or analytics that help forecast possible disasters.
What to Keep in Mind
Earth AI does not only track the weather or do disaster tracking.
It is an all purpose geospatial intelligence platform that combines climate, health, population, and imagery data.
The general user access is restricted, and most of the higher functions occur in professional subscriptions and enterprise configurations.
The quality of data and models determines the insights it creates; it will not be able to substitute on-the-ground local analysis but can substantially enhance the response capability.
Having Earth AI powered by Gemini, Google is boiling the edge of what multi modal AI with location awareness can accomplish.
It can predict the probability of a given area experiencing a flood, or it can help locate areas of high health risks.
It can help manage the real world, high stakes issues with the help of data, AI, and Earth science.
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Since it is making access more accessible, it can easily turn into a means by which cities, governments, and NGOs can more easily predict and react to crises.
