This image shows the spectral bandpasses for the sensors on all Landsat satellites.
What are the band designations for the Landsat satellites?
The sensors onboard each of the Landsat satellites were designed to acquire data in different wavelengths in the electromagnetic spectrum.
View Bandpass Wavelengths for all Landsat Sensors
The Multispectral Scanner (MSS) carried on Landsat 1,2,3,4 and 5 collected data in four ranges (bands); the Thematic Mapper (TM) sensor on Landsat 4 and Landsat 5 included those bands found on earlier satellites and introduced a thermal and a shortwave infrared band. A panchromatic band was added to Landsat 7’s Enhanced Thematic Mapper Plus (ETM+) sensor. While the earlier satellites carried just one sensor, Landsat 8 was designed to acquire data in a total of 11 bands from two separate sensors: the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). Landsat 9 carries improved copies of the Landsat 8 sensors.
View Common Landsat Band Combinations
Landsat Next, planned to launch in the 2030’s, is a constellation of three satellites. Each satellite will carry sensors to acquire data in a total of 26 spectral bands. Landsat Next band details will be added to this page when that is finalized. Current information about Landsat Next spectral bands can be found on the Landsat Next web page.
Landsat 8 and Landsat 9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) images consist of nine spectral bands, and two thermal bands. The approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi).
Bands | Wavelength (micrometers) |
Resolution (meters) |
---|---|---|
Band 1 - Coastal aerosol | 0.43-0.45 | 30 |
Band 2 - Blue | 0.45-0.51 | 30 |
Band 3 - Green | 0.53-0.59 | 30 |
Band 4 - Red | 0.64-0.67 | 30 |
Band 5 - Near Infrared (NIR) | 0.85-0.88 | 30 |
Band 6 - Shortwave Infrared (SWIR) 1 | 1.57-1.65 | 30 |
Band 7 - Shortwave Infrared (SWIR) 2 | 2.11-2.29 | 30 |
Band 8 - Panchromatic | 0.50-0.68 | 15 |
Band 9 - Cirrus | 1.36-1.38 | 30 |
Band 10 - Thermal Infrared (TIRS) 1 | 10.6-11.19 | 100 (resampled to 30)* |
Band 11 - Thermal Infrared (TIRS) 2 | 11.50-12.51 | 100 (resampled to 30)* |
Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images consist of eight spectral bands All of the bands can collect one of two gain settings (high or low) for increased radiometric sensitivity and dynamic range, while Band 6 collects both high and low gain for all scenes. The approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi).
Bands | Wavelength (micrometers) |
Resolution (meters) |
---|---|---|
Band 1 - Blue | 0.45-0.52 | 30 |
Band 2 - Green | 0.52-0.60 | 30 |
Band 3 - Red | 0.63-0.69 | 30 |
Band 4 - Near Infrared (NIR) | 0.77-0.90 | 30 |
Band 5 - Shortwave Infrared (SWIR) 1 | 1.55-1.75 | 30 |
Band 6 - Thermal | 10.40-12.50 | 60 (resampled to 30)* |
Band 7 - Shortwave Infrared (SWIR) 2 | 2.09-2.35 | 30 |
Band 8 - Panchromatic | .52-.90 | 15 |
Landsat 4-5 Thematic Mapper (TM) images consist of seven spectral bands The approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi).
Bands | Wavelength (micrometers) |
Resolution (meters) |
---|---|---|
Band 1 - Blue | 0.45-0.52 | 30 |
Band 2 - Green | 0.52-0.60 | 30 |
Band 3 - Red | 0.63-0.69 | 30 |
Band 4 - Near Infrared (NIR) | 0.76-0.90 | 30 |
Band 5 - Shortwave Infrared (SWIR) 1 | 1.55-1.75 | 30 |
Band 6 - Thermal | 10.40-12.50 | 120 (resampled to 30)* |
Band 7 - Shortwave Infrared (SWIR) 2 | 2.08-2.35 | 30 |
Landsat 1-5 Multispectral Scanner (MSS) images consist of four spectral bands. The approximate scene size is 170 km north-south by 185 km east-west (106 mi by 115 mi). Specific band designations differ from Landsat 1-3 to Landsat 4-5.
Landsat 1-3 |
Landsat 4-5 |
Wavelength (micrometers) |
Resolution (meters) |
---|---|---|---|
Band 4 - Green | Band 1 - Green | 0.5-0.6 | 60 |
Band 5 - Red | Band 2 = Red | 0.6-0.7 | 60 |
Band 6 - Near Infrared (NIR) | Band 3 - Near Infrared (NIR) | 0.7-0.8 | 60 |
Band 7 - Near Infrared (NIR) | Band 4 - Near Infrared (NIR) | 0.8-1.1 | 60 |
* Indicates that acquired data are resampled for Level-1 product processing.
Related
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 determine which bands of the selected sensor will...
How does data from Sentinel-2A’s MultiSpectral Instrument compare to Landsat data?
The Sentinel-2A MultiSpectral Instrument (MSI) data has spectral bands very similar to Landsat 8 and 9 (excluding the thermal bands of Thermal Infrared Sensor (TIRS)). All Sentinel-2 data are freely available from the Copernicus Open Access Hub; therefore, users are encouraged to download the data via https://scihub.copernicus.eu/ . To learn more about Sentinel data access information please visit...
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.
After a Landsat scene is collected, when will it become available for search and download?
Landsat scenes directly downlinked to the USGS EROS Landsat Ground Station become available through EarthExplorer within 6 hours after acquisition, and then become visible in GloVis and the LandsatLook Viewe r within 24 hours. Scenes downlinked to other USGS Ground Stations can be available within 1 to 2 weeks. Scenes downlinked to International Ground Stations may become available in the USGS...
Can Landsat satellite acquisition requests be made for a specific date and location?
The Landsat 8 and Landsat 9 satellites together acquire approximately 1,500 scenes daily. These scenes are available for download within 6 hours of acquisition. Landsat satellite acquisitions are managed as a system, known as a satellite constellation. Long-Term Acquisition Plans (LTAPs) direct and optimize the daily acquisitions of each active Landsat satellite. Special requests for future...
This image shows the spectral bandpasses for the sensors on all Landsat satellites.
This graphic displays a few of the common band Red-Green-Blue (RGB) combinations of Landsat data. For more information about using Landsat bands in your research, visit the following pages:
This graphic displays a few of the common band Red-Green-Blue (RGB) combinations of Landsat data. For more information about using Landsat bands in your research, visit the following pages:
Matt Hansen talks about the value of Landsat data as an infrastructure for research and innovation.
Matt Hansen talks about the value of Landsat data as an infrastructure for research and innovation.
Landsat 9 Project Scientist Jeff Masek discusses the ways Landsat data is used and how important it is to have high quality data.
Landsat 9 Project Scientist Jeff Masek discusses the ways Landsat data is used and how important it is to have high quality data.
Landsat Collections: Providing a Stable Environmental Record for Time Series Analysis
Landsat Collections: Providing a Stable Environmental Record for Time Series Analysis
On board Landsat 8 are two sensors that capture data about earth's surface. Here is an explanation of the instruments that capture every pixel.
On board Landsat 8 are two sensors that capture data about earth's surface. Here is an explanation of the instruments that capture every pixel.
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.
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.
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 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.
No water. No vegetation. No oases. Known as the "Land of Terror," the Tanezrouft Basin in Algeria is one of the most desolate parts of the Sahara Desert. Sand dunes, which appear in yellow, streak down the left side of the image, and sandstone formations carved by relentless wind erosion make concentric loops, much like the grain seen in a piece of wood.
No water. No vegetation. No oases. Known as the "Land of Terror," the Tanezrouft Basin in Algeria is one of the most desolate parts of the Sahara Desert. Sand dunes, which appear in yellow, streak down the left side of the image, and sandstone formations carved by relentless wind erosion make concentric loops, much like the grain seen in a piece of wood.
A "Top Ten" video of locations featuring land change, as captured by USGS Landsat
A "Top Ten" video of locations featuring land change, as captured by USGS Landsat
U.S. Landsat Analysis Ready Data
Landsat Collections
Landsat benefiting society for fifty years
Related
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 determine which bands of the selected sensor will...
How does data from Sentinel-2A’s MultiSpectral Instrument compare to Landsat data?
The Sentinel-2A MultiSpectral Instrument (MSI) data has spectral bands very similar to Landsat 8 and 9 (excluding the thermal bands of Thermal Infrared Sensor (TIRS)). All Sentinel-2 data are freely available from the Copernicus Open Access Hub; therefore, users are encouraged to download the data via https://scihub.copernicus.eu/ . To learn more about Sentinel data access information please visit...
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.
After a Landsat scene is collected, when will it become available for search and download?
Landsat scenes directly downlinked to the USGS EROS Landsat Ground Station become available through EarthExplorer within 6 hours after acquisition, and then become visible in GloVis and the LandsatLook Viewe r within 24 hours. Scenes downlinked to other USGS Ground Stations can be available within 1 to 2 weeks. Scenes downlinked to International Ground Stations may become available in the USGS...
Can Landsat satellite acquisition requests be made for a specific date and location?
The Landsat 8 and Landsat 9 satellites together acquire approximately 1,500 scenes daily. These scenes are available for download within 6 hours of acquisition. Landsat satellite acquisitions are managed as a system, known as a satellite constellation. Long-Term Acquisition Plans (LTAPs) direct and optimize the daily acquisitions of each active Landsat satellite. Special requests for future...
This image shows the spectral bandpasses for the sensors on all Landsat satellites.
This image shows the spectral bandpasses for the sensors on all Landsat satellites.
This graphic displays a few of the common band Red-Green-Blue (RGB) combinations of Landsat data. For more information about using Landsat bands in your research, visit the following pages:
This graphic displays a few of the common band Red-Green-Blue (RGB) combinations of Landsat data. For more information about using Landsat bands in your research, visit the following pages:
Matt Hansen talks about the value of Landsat data as an infrastructure for research and innovation.
Matt Hansen talks about the value of Landsat data as an infrastructure for research and innovation.
Landsat 9 Project Scientist Jeff Masek discusses the ways Landsat data is used and how important it is to have high quality data.
Landsat 9 Project Scientist Jeff Masek discusses the ways Landsat data is used and how important it is to have high quality data.
Landsat Collections: Providing a Stable Environmental Record for Time Series Analysis
Landsat Collections: Providing a Stable Environmental Record for Time Series Analysis
On board Landsat 8 are two sensors that capture data about earth's surface. Here is an explanation of the instruments that capture every pixel.
On board Landsat 8 are two sensors that capture data about earth's surface. Here is an explanation of the instruments that capture every pixel.
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.
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.
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 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.
No water. No vegetation. No oases. Known as the "Land of Terror," the Tanezrouft Basin in Algeria is one of the most desolate parts of the Sahara Desert. Sand dunes, which appear in yellow, streak down the left side of the image, and sandstone formations carved by relentless wind erosion make concentric loops, much like the grain seen in a piece of wood.
No water. No vegetation. No oases. Known as the "Land of Terror," the Tanezrouft Basin in Algeria is one of the most desolate parts of the Sahara Desert. Sand dunes, which appear in yellow, streak down the left side of the image, and sandstone formations carved by relentless wind erosion make concentric loops, much like the grain seen in a piece of wood.
A "Top Ten" video of locations featuring land change, as captured by USGS Landsat
A "Top Ten" video of locations featuring land change, as captured by USGS Landsat