Landsat 8 Bands and Band Combinations

Landsat 8 Bands and Band Combinations

Today, we will list the Landsat 8 bands as well as their most popular band combinations.

The two main sensors for Landsat 8 are the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS).

The Operational Land Imager (OLI) produces 9 spectral bands (Band 1 to 9) at 15, 30, and 60-meter resolution.

Then, the Thermal Infrared Sensor (TIRS) consists of 2 thermal bands with a spatial resolution of 100 meters.

Band Designations for Landsat Satellites

Here are the Landsat satellite band designations for the Operational Land Imager (OLI) and Thermal Infrared (TIRS) sensor. They offer a standardized way to describe the spectral characteristics and capabilities of each sensor on Landsat.

Landsat-8 OLI & TIRS Sensors

Operational Land Imager (OLI) generates 9 spectral bands (Band 1 to 9) and is onboard Landsat-8. OLI images can discriminate vegetation types, cultural features, biomass, vigor, etc.

Thermal Infrared Sensor (TIRS) consists of 2 thermal bands with a spatial resolution of 100 meters. TIRS measures Earth’s thermal energy particularly useful for tracking how we use land and water.

Landsat-7 Enhanced Thematic Mapper

Enhanced Thematic Mapper Plus (ETM+) is a sensor on Landsat-7. It generates 8 spectral bands in blue, green, red, NIR, and mid-infrared (MIR). Bands 1-5 and 7 have a 30-meter resolution. The panchromatic (band 8) has a 15 m resolution. The thermal band has a 60-meter resolution.

Landsat-5 & 4 Thematic Mapper

Thematic Mapper (TM) was a high-resolution scanner on Landsat satellites (Landsat 4 and 5). It collected images in visible, near-infrared, mid-infrared, and thermal bands with a spatial resolution of 30 meters.

Landsat-3, 2 & 1 Multispectral Scanner

Landsat has persistently enhanced the number of spectral bands and spatial resolution over the years. Over the years, it’s also ensured similar spectral resolution for each Landsat satellite.

From Landsat-1 to 3, the multispectral scanner collected data in four bands at 60-meter resolution. But over time, the spectral and spatial resolution has gradually sharpened. Landsat-8 collects 11 spectral bands varying from 15-meter to 100-meter resolution.

Multispectral Scanner (MSS) collected data in green, red, and two near-infrared bands with a 60-meter pixel size. The swath width was 185 km with 18-day repeat coverage.

Operational Land Imager (OLI)

This is the same information as in the table above but broken down by each sensor. On board Landsat-8, OLI generates 9 spectral bands (Band 1 to 9). Landsat 8 bands from the OLI sensor are coastal, blue, green, red, NIR, SWIR-1, SWIR-2, and cirrus.

These 8 bands have a ground resolution of 30 meters. Then, the panchromatic band has a finer resolution of 15 meters.

Thermal Infrared Sensor (TIRS)

TIRS is the first of its kind in the Landsat program. In other words, this type of sensor did not exist before Landsat 8.

TIRS consists of 2 thermal bands (bands 10 & 11) that measure Earth’s thermal energy. Both bands from TIRS are long-wavelength infrared with 100-meter resolution.

Landsat 8 Band Combinations

As with any image band, you can arrange them in such a way as to extract unique and new information. This is definitely the case by extracting spectral signatures of objects in an image.

In the case of Landsat-8, some of the popular band combinations include natural color, color infrared, and various vegetation indexes.

If you want to view the Landsat-8 band combinations in an interactive web map, then I suggest to you the Landsat Explorer. All you have to do is just switch the rendering of data.

Otherwise, read below for the most common band combinations. Each one uniquely displays different features on the Earth’s surface.

Natural Color (4, 3, 2)

The natural color composite uses a band combination of red (4), green (3), and blue (2). It replicates close to what our human eyes can see. While healthy vegetation is green, unhealthy flora is brown. Urban features appear white and grey and water is dark blue or black.

Color Infrared (5, 4, 3)

This band combination is also called the near-infrared (NIR) composite. It uses near-infrared (5), red (4), and green (3). Because chlorophyll reflects near-infrared light, this band composition is useful for analyzing vegetation. In particular, areas in red have better vegetation health. Dark areas are water and urban areas are white.

Short-Wave Infrared (7, 6 4)

The short-wave infrared band combination uses SWIR-2 (7), SWIR-1 (6), and red (4). This composite displays vegetation in shades of green. While darker shades of green indicate denser vegetation, sparse vegetation has lighter shades. Urban areas are blue and soils have various shades of brown.

Agriculture (6, 5, 2)

This band combination uses SWIR-1 (6), near-infrared (5), and blue (2). It’s commonly used for crop monitoring because of the use of short-wave and near-infrared. Healthy vegetation appears dark green. But bare earth has a magenta hue.

Geology (7, 6, 2)

The geology band combination uses SWIR-2 (7), SWIR-1 (6), and blue (2). This band combination is particularly useful for identifying geological formations, lithology features, and faults.

Bathymetric (4, 3, 1)

The bathymetric band combination (4,3,1) uses the red (4), green (3), and coastal bands to peak into water. The coastal band is useful in coastal, bathymetric, and aerosol studies because it reflects blues and violets. This band combination is good for estimating suspended sediment in the water.

Panchromatic

The panchromatic band spans are a longer range of wavelengths and can generate 15m panchromatic images. By pansharpening imagery with the panchromatic band, you can sharpen your imagery producing a crisper product.

Vegetation Index

The vegetation index leverages the properties of the red (which vegetation absorbs) and near-infrared bands (which vegetation strongly reflects). As the name implies, we use it to monitor vegetation health and vigor.

Normalized Difference Vegetation Index (NDVI) always ranges from -1 to +1. Negative values are indicative of water and moisture. But high NDVI values suggest a dense vegetation canopy.

Moisture Index

The moisture index estimates the amount of moisture content. Water appears as blue with lighter shades containing less moisture. Finally, bright orange and red have significantly lower moisture content.

Other Key Landsat Details

Landsat-8 was launched on February 11, 2013, and is still active. It started as the Landsat Data Continuity Mission. Now, we know it simply as Landsat-8.

Landsat-8 collects 550 scenes per day. So by August 2020, it will reach a total of 1.5 million collected scenes. This workhorse satellite remains a staple of open source land information for the public.

If you’re interested in learning more, NASA has a great blog post on how to interpret a satellite image.

And of course, the entire Landsat Science website is an excellent resource for keeping up-to-date with everything such as Landsat-9.