Eyes on Earth

In this episode of Eyes on Earth, we talk about the latest release of the National Land Cover Database (NLCD). More than just a map, NLCD is a stack of maps—a database. It has long been the foundational land cover source for scientists, resource managers, and decision-makers across the United States, and now the next generation of USGS land cover mapping is here. This new release includes land cover data of the United States for every year back to 1985, so it is now called Annual NLCD.

In this episode of Eyes on Earth, we talk about the Landscape Fire and Resource Management Planning Tools (LANDFIRE) project, which is commemorating its 20th year of providing geospatial data to support natural resource management and wildland fire planning. LANDFIRE brings a lot of data together, over 30 data products, into one place. The publicly available, consistent data maps disturbance to the landscape and vegetation condition, which can be useful to virtually any application that deals with what’s occurring on the landscape. LANDFIRE has now been doing this for 20 years, and we talk with some of the people who have been working on LANDFIRE that entire time.

In this episode of Eyes on Earth, we talk to forest ecologist Jim Lutz about the effort to map fires in Utah. Fire research in the West is dominated by the study of large fires, but the forests in Utah are different. Utah typically does not have a lot of large fires as other western states do. So to better understand the differences that the specific Utah vegetation types have in their response to fire, a fire atlas for the state was developed. This data helps inform land managers about the implications for forest management and for prescribed fire planning.

This Eyes on Earth episode is the third in our series on using Landsat for coastal studies. We talk to physical geographer Jeff Danielson about bathymetry and how it is critical for coastal modeling. Bathymetry captures the shape of underwater topography, and satellite-derived bathymetry helps fill in areas where there are data gaps. Even though Landsat was designed to image land, it’s a big part of this work because of its systematic temporal coverage. Besides that, high-resolution data from sonar and lidar are too labor intensive to collect everywhere. Therefore, they use all these sources together to get a better picture of bathymetry, especially in remote areas. This modeling helps with studying changes to shorelines such as storm surge, sediment transport, and flood damage.

In this episode of Eyes on Earth, we talked with some of the interns who worked at EROS this summer. They shared their experiences learning about the cloud, AI, wildland fire research, terrestrial lidar scanning, and more. The common theme among them was recognizing the value of the EROS mission and noticing the passion their co-workers demonstrated in their work. They also shared advice for future interns at EROS.

This episode of Eyes on Earth is the second in a series about how Landsat is helping researchers study coastal changes. The first one was about mapping changes to beaches in California and using Landsat to create models to predict how the coastline may change in the future because of sea level rise and coastal erosion. For this episode, we talk with Robbi Bishop-Taylor, coastal Earth observation scientist at Geoscience Australia, about how he takes advantage of one of Landsat’s best features—time. Using Landsat data back to the 1980s and Open Data Cube to make the dataset openly available, researchers can see where shorelines are eroding and where they are growing around the entire coastline of Australia. Using sub-pixel mapping, they can make Landsat’s 30-meter pixels even more detailed while taking advantage of Landsat’s long archive.

In this episode of Eyes on Earth, we begin a series on Landsat’s usefulness in coastal studies. First, we talk with Sean Vitousek, a USGS research oceanographer, about changes to beaches in California and how he is using Landsat and other data to create models that can predict how the coastline may change in the future because of sea level rise and coastal erosion. Landsat’s global reach stretches back decades—that, along with its free availability, can help in planning for the prevention and adaptation to future hazards along the coast. See how Landsat complements other data and ground truth studies, and how machine learning plays a part in this study as well.

In this episode of Eyes on Earth, we talk with Kristi Kline about the constant changes and innovations that have been needed at EROS to keep up with changes in computer tech and data processing. Kline has been a part of helping to implement these changes over the past 27 years and is now retiring at the end of May 2024. We discuss her favorite memories like attending the Landsat 8 launch, and being there when Google first approached EROS to help them create an early version of Google Earth with Landsat images.

In this episode of Eyes on Earth, we talk with several people involved with the next Landsat mission, targeted for launch around 2030. While that may seem like a ways into the future, it takes a lot of work to prepare for such a big mission. In Part 2 of this two-part series on Landsat Next, we’ll hear about what needs to be done before launch to prepare the ground system, data processing and data calibration. Be sure to also listen to Part 1, where we talk about how different Landsat Next will be from previous Landsat missions, and what scientists are really looking forward to with this mission.

In this episode of Eyes on Earth, we talk with several people involved with the next Landsat mission. In Part 1, we’ll hear about how different Landsat Next will be from previous Landsat missions and how its additional spectral bands, higher resolution and 6-day revisit will benefit science and society. Addressing the needs of the Landsat user community was a high priority in developing the mission, so we talk about what scientists are really looking forward to with Landsat Next. The upcoming Part 2 episode will share details about technical preparations, such as the ground system and data processing and validation.