Does the Landsat 7 Scan Line Corrector (SLC)-off artifact affect Landsat Collections tier designation?

The Landsat 7 SLC-off artifact does not change how the data are placed into Landsat Collection tiers, as tier classifications are determined by the radiometric and geometric accuracy of each scene.

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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 the Landsat Collection 1 Level-1 data product file sizes?

The file sizes of Landsat Collection 1 Level-1 data products are listed in the table below. Sensor Compressed file Uncompressed file Landsat 8 OLI/TIRS 919 MB 1.61 GB Landsat 7 ETM+ 235 MB 785 MB Landsat 4-5 TM 150 MB 500 MB Landsat 1-5 MSS 20 MB 75 MB

Can Landsat Collection Real-Time scenes be used in my research?

Landsat Collections Real-Time (RT) data provide temporary data within 12 hours of acquisition in support of the International Charter to help mitigate the effects of disasters on human life and property. The RT tier contains data received from Landsat 8 and Landsat 7 immediately after acquisition. Estimated radiometric and geometric calibration...

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 some known issues that users might find in Landsat data?

A number of artifacts and anomalies can happen to any remote sensing data. Banding, dropped scan lines, and detector failures are only a few of the anomalies that can be seen in Landsat data. Go to Landsat Known Issues for details about anomalies that have been discovered and investigated.

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 are the best Landsat spectral bands for use in my research?

The Spectral Characteristics Viewer is an interactive tool that can be used to visualize how the bands--or channels--of different satellite sensors measure the intensity of the many wavelengths (colors) of light. This is also known as the relative spectral response (RSR). By overlaying the spectral curves from different features (spectra), one can...
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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...

Date published: December 15, 2004

USGS Offers New Landsat 7 Gap-Filled Product

The U.S. Geological Survey (USGS) has completed development of a major new product enhancement for Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data captured after the Scan Line Corrector (SLC) anomaly in May of 2003. 

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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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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 7 Path 38 Row 35, Acquired March 29, 2013
April 15, 2013

Landsat 7 Path 38 Row 35, Acquired March 29, 2013

On March 29-30, 2013, the Landsat Data Continuity Mission (later named Landsat 8) was in position under the Landsat 7 satellite. This provided opportunities for near-coincident data collection from both satellites.

This Landsat 7 image (Path 38 Row 35), acquired March 29, 2013, shows the Grand Canyon and also the area of Dolan Springs, Arizona. Dolan Springs is a 

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Landsat 7 Path 38 Row 31, Acquired March 29, 2013
April 15, 2013

Landsat 7 Path 38 Row 31, Acquired March 29, 2013

On March 29-30, 2013, the Landsat Data Continuity Mission (later named Landsat 8) was in position under the Landsat 7 satellite. This provided opportunities for near-coincident data collection from both satellites. 

This Landsat 7 image (Path 38 Row 31), acquired March 29, 2013, shows the Great Salt Lake and surrounding waters in Utah. These water bodies provide for

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USGS
March 13, 2008

What is Landsat 7?

Listen to hear the answer.

A Landsat 7 SLC-off Scene Example

A Landsat 7 SLC-off Scene Example

A Landsat 7 SLC-off Scene Example