Landsat's Role in Understanding Climate Change
Long-term weather patterns averaged over 30 years or more make up our climate. Human well-being—our infrastructure and agriculture—depend on a reliable climate. This reliability allows farmers to plant seeds in the spring with confidence that temperatures and rainfall will sustain crops in the coming months. It allows communities to build and maintain roads, buildings, and drainage systems best suited to local conditions. Earth’s climate is controlled by the amount of energy that flows through the atmosphere, oceans, and land. By adding heat-trapping gases to the atmosphere—primarily carbon dioxide—people are increasing the amount of energy in the Earth system that would otherwise escape to space. This increase in energy is changing Earth’s climate, and consequently, the weather patterns that people rely on are shifting. Changes in long-term weather patterns have wide-ranging impacts on ecosystems and peoples’ lives. Designed to observe land and coastal ecosystems, Landsat instruments provide an unparalleled space-based record of the impact of climate change on Earth’s landscapes, the growth and loss of carbon- storing.
A new, comprehensive analysis of satellite data finds that majority of glaciers on the landmass have retreated significantly.
When Landsat’s vast decades-long archive is combined with data from other instruments it can provide amazing insight into how our world is evolving with us and around us. Here are some of the ways Landsat and GEDI data are being harnessed to help us better understand the complex relationship between humanity and nature.
The Pale Blue Dot Visualization Challenge—aimed at making Earth observation data accessible to everyone—has officially kicked off.
Safeguarding freshwater resources is crucial, and while scientists use a variety of ground-based techniques to gauge water quality, the Landsat program has provided water quality data from orbit for decades.
The Jane Goodall Institute has been working with NASA and using Earth science satellite imagery and data—including Landsat (NASA/USGS)—in its chimpanzee and forest conservation efforts in Africa, particularly the Gombe region.
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.