What Landsat data products are available?

There are several Landsat data products that are useful for science applications and land use/land change studies:

Landsat Collections Level 1 - Ensures that the data in the Landsat Level-1 archive are consistent in processing and data quality to support time-series analyses and data stacking. Each Level-1 data product includes individual spectral band files, a metadata file, and additional ancillary files.

U.S. Landsat Analysis Ready Data (ARD) - Uses Landsat Collections  Level-1 data as input to provide data that is processed to the highest scientific standards and placed in a tile-based structure to support time-series analysis.

Landsat Science Products - Level-2 and Level-3 products that are processed to include atmospherically corrected data, surface reflectance, provisional surface temperature, and biophysical properties of the Earth’s surface.

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How do I search for and download Landsat data?

Landsat data products held in the USGS archives can be searched and downloaded at no charge from a variety of sources. Visit the Landsat Data Access web page for information about how Landsat data products can be downloaded individually or in bulk. Landsat imagery not found in the USGS archive might have been collected by one of the USGS...

How can I tell the difference between Landsat Collections data and Landsat data I have downloaded in the past?

The first indication you have data processed meeting Collections specifications is that your data will have a Landsat Product Identifier, not the historical Landsat Scene ID. Along with information inherited from the Scene ID, the Landsat Product Identifier includes the processing level, processing date, collection number, and collection category...

What are Landsat Collection Tiers?

Landsat Collection Tiers are the inventory structure for Level-1 data products and are based on data quality and level of processing. The tier definition purpose is to support easier identification of suitable scenes for time-series pixel-level analysis, and provide temporary data that are processed immediately upon downlink to be dispensed...

What are Landsat Collections?

In 2016, the USGS reorganized the Landsat archive into a tiered collection. This structure ensures that Landsat Level-1 products provide a consistent archive of known data quality to support time-series analyses and data “stacking”, while controlling continuous improvement of the archive and access to all data as they are acquired. Learn more:...

What are U.S. Landsat Analysis Ready Data (ARD)?

U.S. Landsat Analysis Ready Data (ARD) are pre-packaged and pre-processed bundles of Landsat data products that make the Landsat archive more accessible and easier to analyze, and reduce the amount of time users spend on data processing for time-series analysis. ARD contains Level-2 products derived from Landsat Collections Level-1 scenes. ARD are...

How do I open Landsat satellite data files?

Many image processing programs (ERDAS IMAGINE®, PCI Geomatica®, ENVI®, IDRISI®, etc.)* can import a variety of image formats, including the GeoTIFF files of Landsat data. Free Multispec software that is included with the USGS lesson plan Tracking Change Over Time can be used for limited spectral analysis. To view Landsat scenes without using...

Are there any restrictions on the use or redistribution of Landsat data?

There are no restrictions on Landsat data downloaded from the USGS; it can be used or redistributed as desired. We do request that you include a statement of the data source when citing, copying, or reprinting USGS Landsat data or images. Details are on the EROS Data Citation page. Learn more: USGS Copyrights and Credits statement

What is the Landsat satellite program and why is it important?

The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. On July 23, 1972, in cooperation with NASA, the Earth Resources Technology Satellite (ERTS-1) was launched. It was later renamed Landsat 1. Additional Landsat satellites followed in the 1970s and 1980s. Landsat 7 was...
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Date published: November 8, 2017

USGS Releases Landsat Analysis Ready Data

Application scientists who download and prepare large amounts of Landsat scene-based data for time-series investigative analysis now will have that preparatory work greatly reduced for them through Landsat Analysis Ready Data (ARD) recently released by the U.S...

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U.S. Landsat Analysis Ready Data (ARD) tile h05v02 overlay on Landsat 8 WRS-2 path 44 row 27
June 20, 2018

U.S. Landsat Analysis Ready Data (ARD) Tile Overlay on Landsat Scene

This image shows the coverage of ARD tile h05v02 (outlined in white) compared to the WRS-2 path 44 row 27 image covering an area in central Washington state. The ARD tile also includes data from rows 26 and 28. 

U.S. Landsat ARD Product ID: LC08_CU_005002_20130603_20170713_C01_V01
Lansdsat 8 Scene Product ID: LC08_L1TP_044027_20130603_20170310_01_T1

December 31, 2017

Landsat Collections

Landsat Collections: Providing a Stable Environmental Record for Time Series Analysis

This video introduces the new U.S. Geological Survey (USGS) Landsat Collection 1 inventory structure. Collection 1 required the reprocessing of all archived Landsat data to achieve radiometric and geometric consistency of Level-1 products through time and across all Landsat sensors

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November 7, 2017

Landsat Analysis Ready Data (ARD)

The U.S. Geological Survey (USGS) has improved Landsat data quality and usability through the creation of Analysis Ready Data (ARD) for the conterminous United States, Alaska, and Hawaii. Landsat ARD greatly reduces the preparatory work currently required to do time-series analysis for understanding landscape change for operational and science users. Landsat Collections

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September 19, 2017

Landsat Collections — What are Tiers?

This is the third video in a series describing the new U.S. Geological Survey (USGS) Landsat Collection 1 inventory structure. Collection 1 required the reprocessing of all archived Landsat data to achieve radiometric and geometric consistency of Level-1 products through time and across all Landsat sensors. This video explains how Landsat Collection Level-1 data products

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June 30, 2017

Landsat Collections - RMSE

Landsat Collections: Providing a Stable Environment Record for Time Series Analysis

This is the second of a three-part video series describing the new U.S. Geological Survey (USGS) Landsat Collection 1 inventory structure. Collection 1 required the reprocessing of all archived Landsat data to achieve radiometric and geometric consistency of Level-1 products through

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Landsat Analysis Ready Data (ARD) Tiles
January 30, 2016

Landsat Analysis Ready Data (ARD) Tiles

U.S. Landsat Analysis Ready Data (ARD) Tile Landsat 8 OLI/TIRS Surface Reflectance January 30, 2016, Tile ID CONUS Horizontal 018, Vertical 014

Landsat Level-2 Surface Reflectance Example

Landsat Level-2 Surface Reflectance Example

Landsat Level-2 Surface Reflectance Example
Data from Landsat ARD Tile H004V002, acquired July 23, 2017

Visit the Landsat Science Products web page for more information about this and other available Level-2 and Level-3 science products. 

Landsat Level-3 Science Products

Landsat Level-3 Science Products

Illustration of Landsat Level-3 Science Products

For more information visit https://www.usgs.gov/land-resources/nli/landsat/landsat-science-products

Landsat Level-2 and Level-3 Science Products Examples

Landsat Science Products Examples

This image shows the Landsat Science Products from Landsat ARD Tile H004V002 acquired July 23, 2017. From left to right: Landsat Surface Reflectance, Landsat Provisional Surface Temperature, Landsat Dynamic Surface Water Extent, Landsat Burned Area, and Landsat Fractional Snow Covered Area. 

Visit the

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Landsat Analysis Ready Data

Landsat Analysis Ready Data

Landsat Analysis Ready Data products are processed to a common tiling scheme providing the user with the flexibility to generate their own customized data cube stack for the purposes of data reduction, time series analysis, and interpretation.