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Deforestation is a significant concern for many parts of the globe, particularly in places like the rainforests of the Amazon or the Congo. Scientists, governments, and non-governmental organizations turn to satellite data to track deforestation, as well as to set targets for improvement.

Landsat satellites have monitoring the Earth’s surface for nearly 50 years, providing critical information for countless areas of study and real-world applications. But with observations only collected every 8-16 days, there are limits to what can be tracked.

Dr. Alan Belward has spent a lot of time thinking about the planet’s surface water. The former Landsat Science Team member uses satellite data to track changes to lakes, rivers, and streams, and recently published a book that uses Landsat data to tell some of those stories.

The St. Mary and Milk Rivers cross the U.S. and Canadian border and supply water to both countries. Managing that resource in the interest of both nations is a matter of international collaboration and cooperation, and Landsat data is helping offer objective information on water use.

The extensive rangelands across the Western United States are threatened by invasive grasses, climate change, and altered fire regimes that can disturb the landscape. The largely semi-arid lands are also important for the survival of species that need undisturbed sagebrush ecosystems to thrive.

Albedo—the amount of incoming solar radiation reflected into space from the Earth’s surface—is a key measurement for surface temperatures and plant productivity. It also factors into weather forecasting and climate modeling. Landsat Science Team member Dr.

Landsat data is more useful today than at any other point in its nearly 50-year history. The USGS Collections strategy is a major reason why. Landsat Collections align and correct satellite acquisitions from 1972 through the present to make the data easier to work with through time.

Brazil is a fascinating study in water use. Brazil uses roughly 72 percent of its water for irrigated agriculture, and its herds of cattle, pigs and poultry are among the largest in the world.

In the past, remote sensing scientists looked for change on the Earth’s surface primarily by comparing one Landsat image to another.

The Green Revolution leaned on fertilizers, drought-resistant seeds and other modern innovations to boost agricultural production across much of the planet in the second half of the 20th Century. But many of those innovations never reached West Africa, partially because the lack of social safety nets and crop insurance made such investments too risky.

When a disaster like a hurricane, flood or major wildfire hits a remote part of the world, the International Charter Space and Natural Disasters springs into action.

Evapotranspiration is the process by which water transpires from the leaves and stems of plants and evaporates from the Earth’s surface. ET is an important metric for managing water use, but data availability has long been an issue.

Today, the world is awash in remotely sensed data. Satellites launched by countries and commercial companies circle the planet collecting data every day. Accessing data from multiple agencies and plaforms and turning it into useful analytics can be a daunting and complex endeavor, however.

Mapping land cover across the United States using Landsat satellite data is a difficult, time-intensive job, but there are jobs far larger. Matt Hansen, a Maryland-based professor and member of the Landsat Science Team focuses his efforts on mapping land cover and change on a global scale.

Calibration teams at the USGS EROS Center use a variety of methods to make sure the data collected by Landsat satellites are an accurate representation of the Earth’s surface.

Just recently, in mid-July, the flight operations team charged with keeping the Landsat 7 satellite running smoothly achieved a major milestone. They have gone 8 straight years now without an operator error.

In the days before LANDFIRE, fire scientists often struggled to find the vegetation and fuels data they needed to map the path of fires, keep firefighters safe, and to model fire recovery.

The U.S. Geological Survey took a bold step toward documenting change across the landscape with the launch of the first Landsat satellite in 1972. Since then, it’s collected nearly five decades of imagery. But it takes more than just imagery to understand change. It takes time, effort—and serious computing horsepower.

Remote sensing is not an especially venerable scientific discipline, at least in comparison to fields like biology, chemistry or medicine.

The continent of Australia experienced some of the most devastating wildfires in its history in late 2019 and early 2020. Remote sensing scientists in Australia, who collaborate closely with EROS, relied on satellites like Landsat to help assess and monitor the damage.

Between them, Landsats 7 and 8 image the entire land surface of Earth every eight days. The USGS orbiters are just two of many Earth observing satellites flying at the same altitude and collecting data at the same time of day.