So current datasets might classify a satellite image of a city as ‘built-up,’ but visit any city and you’ll see our world is far more dynamic. With this information, people - like scientists and policymakers - can monitor and understand land and ecosystems so they can make more accurate predictions and effective plans to protect our planet in the future.Ī more detailed understanding of earth’s land than ever beforeĬurrently, most existing datasets assign a single land cover type to an area of land - like trees, built-up, crops or snow - based on what’s most prominent in a satellite image combined with an expert’s determination of the land cover. Powered by Google Earth Engine and AI Platform, Dynamic World provides global, near real-time land cover data at a ten-meter resolution, giving an unprecedented level of detail about what's on the land and how it's being used - whether it’s forests in the Amazon, agriculture in Asia, urban development in Europe or seasonal water resources in North America. To help turn satellite imagery into more useful information for quantifying change, we worked with the World Resources Institute (WRI) to create Dynamic World. Historically, it’s been difficult to access detailed, up-to-date land cover data which documents how much of a region is covered with different land and water types such as wetlands, forests, agricultural crops, trees, urban development and more. Detailed information about these changes and their impact on people, the climate, and ecosystems can help governments and researchers develop helpful solutions and minimize their effects on issues like climate change, food insecurity and loss of biodiversity. These changes are in part because of climate change amplifying environmental disturbances, like wildfires and floods, and human activity, like deforestation and urban development. Our planet is changing dramatically in ways that are visible even from space.
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