Over the past few years, machine learning techniques have been increasingly used to analyze the vast amount of data collected by the Landsat mission, which has been circling the globe for over 50 years. The data has been used to classify different types of land cover, detect changes to landscapes over time, and map the impact of human activity on the environment.
With the field constantly evolving, researchers are developing new deep learning models to improve the accuracy and efficiency of the analysis and extract even more information from the data. Here are just a few examples of how the combination of Landsat data and machine learning is providing a better understanding of our planet’s past, present, and future.
Exploring the Cosmos Through Imagery and Music
Awe-inspiring NASA visuals combined with the might of a live symphonic orchestra last week in “Cosmic Cycles,” a multimedia collaboration among the agency’s Goddard Space Flight Center in Greenbelt, Maryland, the National Philharmonic, and composer Henry Dehlinger. A transformative project showcasing the beauty and power of the marriage between music and science.