Google Earth is slot launching a project called Dynamic World, a new endeavor that creates maps that come paired with a novel deep learning AI model. It’s able to classify land cover by type (water, urban, forest, crops) at a resolution of 10 meters, or 32 feet.
That means each pixel covers about 10 meters of land. For comparison, previous state-of-the-art technology had a 100 meter resolution (320 feet). Dynamic World is a way for people to observe space-based views of the myriad ways land cover changes on Earth,
whether it’s from natural seasonal changes, climate change-exacerbated storms and disasters, or long-term changes that are caused by human activity such as clearing of wild habitats for crops, cattle, or logging. Experts and researchers can use this new project to understand how land cover changes naturally, and flag when some unexpected changes appear to be taking place.
Users can go to Google’s Dynamic World website to peruse through the various datasets and see what the marked maps look like. For example, one map shows how the volume of water and greenery blooms and recedes in Botswana’s Okavango Delta from the rainy season to the dry season.