The USGS provides the Landsat user community with access to standard and provisional sample products. These may include new science products (e.g., Level-2 surface temperature), and/or future product improvements, enhancements or bug fixes (e.g., Thermal Infrared Sensor (TIRS) stray light correction). The following are a range of Landsat product samples currently available for download.
Sample Landsat Level-3 Science Products
The USGS has developed research-quality, applications-ready, Landsat Level-3 Science Products that will soon be available for download from EarthExplorer. The science products are delivered in U.S. Landsat Analysis Ready Data (ARD) tile format defined in the Albers Equal Area Conic map projection referenced to the WGS84 datum. These products represent specific geophysical and biophysical properties of the land surface (e.g. burned area, fractional snow covered area, and dynamic surface water extent). Development of these terrestrial variables uses measurements collected from the Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI)/Thermal Infrared Sensor (TIRS) instruments from 1982 to present. This 36+ year record at 30-meter spatial resolution allows for the discrimination and study of natural and human-induced changes to the Earth’s land surface.
The following sample Landsat Level-3 Science Products are available for U.S. Landsat ARD tile h004v002. These sample science products span May-September, 2017 and include both Landsat 7 ETM+ and Landsat 8 OLI data.
Dynamic Surface Water Extent
Aquatic scientists and water resource managers require information on the dynamics of surface water extent. Surface water extent is modulated by weather and climate, stream network hydrology, and geological processes such as isostatic rebound. Land use, ecosystem conditions, ecosystem services, and water management are impacted by changes in surface water extent. The Dynamic Surface Water Extent algorithm produces image files that represent surface water inundation for each pixel in Landsat 4-8 data. The product is generated from U.S. Landsat Analysis Ready Data (ARD) Surface Reflectance data.
Visit the Dynamic Surface Water Extent website for more information.
Fractional Snow Covered Area
Snow cover is spatially and temporally variable and is often concentrated in remote or inaccessible land regions, making spaceborne remote sensing the most feasible approach to measure and monitor change. Landsat’s spatial resolution offers the capability to resolve snow cover patterns across topographically complex mountain areas. While Landsat’s acquisition frequency limits analysis of short term snow cover variations, longer term changes in snow cover duration and persistence can be detected. The Landsat Fractional Snow Covered Area algorithm produces per-pixel snow cover fraction maps for Landsat 4-8 data. The product is generated from U.S. Landsat ARD surface reflectance data.
Visit the Fractional Snow Covered Area website for more information.
Accurate and complete data on fire locations and burned areas (e.g. fire occurrence) are needed to quantify trends and patterns of fire occurrence, characterize drivers of fire occurrence and projections of future fire patterns, and assessments of fire impacts on both natural and social systems. The Landsat Burned Area Science algorithm is designed to identify burned areas in all ecosystems (e.g. forest, shrubland, and grassland) for Landsat 4-8 data. The product is generated from U.S. ARD surface reflectance data.
Download Sample Landsat Burned Area Product
Visit the Burned Area website for more information.