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Publications

Below is a list of the most recent Landsat peer-reviewed scientific papers, reports, fact sheets, and other publications. You can search all our publication holdings by type, topic, year, and order. After selecting any set of these criteria, click "Apply Filter" to view the search results.

Filter Total Items: 68

Need and vision for global medium-resolution Landsat and Sentinel-2 data products

Global changes in climate and land use are threatening natural ecosystems, biodiversity, and the ecosystem services people rely on. This is why it is necessary to track and monitor spatiotemporal change at a level of detail that can inform science, management, and policy development. The current constellation of multiple Landsat and Sentinel-2 satellites collecting imagery at predominantly ≤30-m s
Authors
Volker C. Radeloff, David P. Roy, Mike Wulder, Martha Anderson, Bruce D. Cook, Christopher J. Crawford, Mark Friedl, Feng Gao, Noel Gorelick, Matthew Hansen, Sean Healey, Patrick Hostert, Glynn Hulley, Justin Huntington, Dave Johnson, Christopher Neigh, Alexei Lyapustin, Leo Lymburner, Nima Pahlevan, Jean-Francois Pekel, Theodore A. Scambos, Crystal Schaaf, Peter Strobl, Eric Vermote, Curtis Woodcock, Hankui K. Zhang, Zhe Zhu

The 50-year Landsat collection 2 archive

The Landsat global consolidated data archive now exceeds 50 years. In recognition of the need for consistently processed data across the Landsat satellite series, the U.S. Geological Survey (USGS) initiated collection-based processing of the entire archive that was processed as Collection 1 in 2016. In preparation for the data from the now successfully launched Landsat 9, the USGS reprocessed the
Authors
Christopher J. Crawford, David P. Roy, Saeed Arab, Christopher Barnes, Eric Vermote, Glynn Hulley, Aaron Gerace, Michael J. Choate, Christopher Engebretson, Esad Micijevic, Gail L. Schmidt, Cody Anderson, Martha Anderson, Michelle Bouchard, Bruce D. Cook, Ray Dittmeier, Danny Howard, Calli Jenkerson, Minsu Kim, Tania Kleyians, Tom Maiersperger, Chase Mueller, Christopher Neigh, Linda Owen, Benjamin Page, Nima Pahelvan, Rajagopalan Rengarajan, Jean-Claude Roger, Kristi Sayler, Pat L Scaramuzza, Sergii Skakun, Lin Yan, Hankui K. Zhang, Zhe Zhu, Stephen G. Zahn

Evaluation of Copernicus DEM and comparison to the DEM used for Landsat collection-2 processing

Having highly accurate and reliable Digital Elevation Models (DEMs) of the Earth’s surface is critical to orthorectify Landsat imagery. Without such accuracy, pixel locations reported in the data are difficult to assure as accurate, especially in more mountainous landscapes, where the orthorectification process is the most challenging. To this end, the Landsat Calibration and Validation Team (Cal/
Authors
Shannon Franks, Rajagopalan Rengarajan

ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2022

Executive SummaryThe U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team
Authors
Md Obaidul Haque, Rajagopalan Rengarajan, Mark Lubke, Md Nahid Hasan, Ashish Shrestha, Fatima Tuz Zafrin Tuli, Jerad L. Shaw, Alex Denevan, Shannon Franks, Esad Micijevic, Michael J. Choate, Cody Anderson, Kurt Thome, Ed Kaita, Julia Barsi, Raviv Levy, Jeff Miller

Improving temporal frequency of Landsat surface temperature products using the gap-filling algorithm

Remotely sensed surface temperature (ST) has been widely used to monitor and assess landscape thermal conditions, hydrologic modeling, and surface energy balance. Landsat thermal sensors have continuously measured the Earth surface thermal radiance since August 1982. The thermal radiance measurements are atmospherically compensated and converted to Landsat STs and delivered as part of the U.S. Geo
Authors
George Z. Xian, Hua Shi, Saeed Arab, Chase Mueller, Reza Hussain, Kristi Sayler, Danny Howard

Landsat Collection 2 Level-3 Fractional Snow Covered Area science product

The Landsat Collection 2 Level-3 Fractional Snow Covered Area science product indicates the percentage of pixels covered by snow for Landsat 4–9 imagery. Landsat’s spatial resolution offers the capability to map snow cover patterns across topographically complex mountainous regions. Snow cover is spatially and temporally variable and is often concentrated in remote or inaccessible land regions, ma

Landsat Collection 2 Level-3 Burned Area science product

Accurate and complete data on fire locations and burned areas are needed to quantify trends and patterns of fire occurrence, characterize drivers of fire, project future fire pattern behavior, and help with assessments of fire effects on natural and social systems. The Landsat Collection 2 Level-3 Burned Area science product is designed to identify burned areas across all ecosystems (for example,

Landsat Collection 2 Level-3 Dynamic Surface Water Extent science product

The Landsat Collection 2 Level-3 Dynamic Surface Water Extent science product provides raster data that represent surface water inundation per pixel in Landsat 4–9 imagery. The Collection 2 Dynamic Surface Water Extent science product contains six acquisition-based raster products relating to surface water. Surface water extent is modulated by weather and climate, stream network hydrology, and geo

Landsat 9 cross calibration under-fly of Landsat 8: Planning, and execution

During the early post-launch phase of the Landsat 9 mission, the Landsat 8 and 9 mission teams conducted a successful under-fly of Landsat 8 by Landsat 9, allowing for the near-simultaneous data collection of common Earth targets by the on-board sensors for cross-calibration. This effort, coordinated by the Landsat Calibration and Validation team, required contributions from various entities acros
Authors
Edward Kaita, Brian Markham, Md Obaidul Haque, Donald Dichmann, Aaron Gerace, Lawrence Leigh, Susan Good, Michael Schmidt, Christopher J. Crawford

ECCOE Landsat Quarterly Calibration and Validation report—Quarter 2, 2022

Executive SummaryThe U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team
Authors
Md Obaidul Haque, Rajagopalan Rengarajan, Mark Lubke, Md Nahid Hasan, Ashish Shrestha, Fatima Tuz Zafrin Tuli, Jerad L. Shaw, Alex Denevan, Shannon Franks, Esad Micijevic, Michael J. Choate, Cody Anderson, Kurt Thome, Ed Kaita, Julia Barsi, Raviv Levy, Lawrence Ong

Landsat 9 geometric characteristics using underfly data

The Landsat program has a long history of providing remotely sensed data to the user community. This history is being extended with the addition of the Landsat 9 satellite, which closely mimics the Landsat 8 satellite and its instruments. These satellites contain two instruments, the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). OLI is a push-broom sensor that collects visi
Authors
Michael J. Choate, Rajagopalan Rengarajan, James C. Storey, Mark Lubke

ECCOE Landsat Quarterly Calibration and Validation report— Quarter 4, 2021

Executive SummaryThe U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsa
Authors
Md Obaidul Haque, Rajagopalan Rengarajan, Mark Lubke, Fatima Tuz Zafrin Tuli, Jerad L. Shaw, Md Nahid Hasan, Alex Denevan, Shannon Franks, Esad Micijevic, Michael J. Choate, Cody Anderson, Brian Markham, Kurt Thome, Ed Kaita, Julia Barsi, Raviv Levy, Lawrence Ong