Clay Explore is an interactive map demo of a new open-source AI Earth observation model. The map allows you to search aerial imagery of Southern California, Seoul and Puerto Rico using machine learning.
Using Clay Explore you can click on any map tile or draw an area to search the map for similar looking areas. Each of the three searchable maps (Southern California, Seoul and Puerto Rico) comes with a relevant example search. In Southern California there is an example of searching for and finding solar farms (as shown in the screenshot above). In Puerto Rico there is an example of looking for tarpaulins and blue roofs (signs of recent hurricane damage) and in Seoul there is an example search of 'green spaces'. However you can also click on any area of the map to carry out your own machine learning search.
The Clay AI is an open-source Earth observation model. It is currently accepting entries for the AI for the Earth Challenge 2024.
The use of artificial intelligence and machine learning is revolutionizing the analysis of satellite and aerial imagery. The ability of machine learning algorithms to automatically detect and identify objects in satellite images has enhanced our abilities to monitor deforestation and illegal fishing, track wildlife, and implement disaster response.
Some other recent examples of machine learning being used to search aerial imagery include OneSoil (which uses AI to detect the types of crops being grown), Земляна проказа (identifying illegal amber mines) and Curio Canopy (identifying tree canopy cover in European cities).
Robin Wilson also recently released an impressive Aerial Image Search Demo which allows you to explore an AI image search of aerial imagery for yourself. Using the map you can search an image of Southampton for any object that you want.
The map says that under the hood the AI uses "the SkyCLIP vector embedding model, and Pinecone vector DB". If you are interested in developing your own AI satellite image search there are links to both models. Meanwhile you can have fun searching Southampton for shipping containers, churches, crops, car parks, swimming pools - or anything else that you can think of.
Via: WeeklyOSM
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