geoeasy

Geographers like night images of cities because you see immediately so much about the human landscape—things that are difficult or impossible to see in day images. You see where the cities are located and their shape; the brightest light clusters frequently indicate the city centers. In images with a large field of view, you can also see the position and size of cities relative to one another.

NASA's Earth Surface Mineral Dust Source Investigation (EMIT) collected this hyperspectral image of the Amazon River in the northern Brazilian state of Pará on June 30, 2024. The tan and yellow colors represent vegetated land, while the blue and turquoise hues signify water. Clouds are white. This image is part of a new dataset providing new information on global ecosystem biodiversity.

As extreme weather events increase around the world due to climate change, the need for further research into our warming planet has increased as well. For NASA, climate research involves not only conducting studies of these events, but also empowering outside researchers to do the same. The artificial intelligence (AI) efforts spearheaded by the agency offer a powerful tool to accomplish these goals.

NASA Earth Observatory NASA, IBM, and Forschungszentrum Jülich have released an expanded version of the open-source Prithvi Geospatial artificial intelligence (AI) foundation model to support a broader range of geographical applications. Now, with the inclusion of global data, the foundation model can support tracking changes in land use, monitoring disasters, and predicting crop yields worldwide.