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Enhanced Thematic Mapper Plus (ETM+)

The Enhanced Thematic Mapper Plus (ETM+) transformed Landsat into a global observatory, providing freely available data of the entire Earth for the first time. ETM+ spurred scientific breakthroughs in long-term, global land studies.

Artist rendering of the Enhanced Thematic Mapper Plus (ETM+) instrument with cutaway view showing internal optical components and systems. This primary imaging instrument was carried aboard Landsat-7 to capture high-resolution multispectral imagery of Earth's surface.

Overview

The Enhanced Thematic Mapper Plus (ETM+) was a multispectral scanning radiometer aboard Landsat 7. Its data enabled the first Landsat-based global assessments of Earth. Built by Raytheon Santa Barbara Remote Sensing (SBRS) on the legacy of earlier sensors, ETM+ collected data in eight 30-meter spectral bands in the visible, near-infrared, and short-wave infrared portions of the EM spectrum as well as a new 15-meter panchromatic band. It ensured continuity with previous sensors, allowing researchers to detect long-term change and decisionmakers to better manage resources.

Landsat 7 ETM+ undergoing precision testing and calibration procedures in a controlled cleanroom environment, with technicians performing critical pre-flight verification of optical and mechanical systems.
Landsat 7 ETM+ undergoing precision testing and calibration procedures in a controlled cleanroom environment, with technicians performing critical pre-flight verification of optical and mechanical systems.
NASA

Requirements

Landsat 7’s nominal science mission ran from April 1999 to April 2022. The ETM+ instrument was designed to meet the following requirements:

  • Acquire, capture, and archive the equivalent of 250 scenes per day.
  • Produce browse and metadata for all full and partial scenes acquired.
  • Produce the equivalent of 100 Level 0 Reformatted (L0R) products and 100 Level 1 products per day, with phased expansion capabilities to handle an increased processing load.
  • Accept data acquisition and product requests from users.
  • Provide rapid turnaround of priority acquisitions and processing.
  • Supply data to users at Cost of Fulfilling a User Request (COFUR).
    • Note: In 2008, Landsat data became freely available to all users at no cost. 
  • Provide communications downlinks for data capture by fixed and transportable XBand ground stations using the Consultative Committee for Space Data Systems (CCSDS) standard protocol for communication of data.

Design

The Enhanced Thematic Mapper Plus (ETM+) was a “whisk-broom” instrument built on the design of the Thematic Mapper (TM) flown on Landsats 4 and 5. It used scan mirrors to sweep back and forth perpendicular to Landsat 7’s orbital path, building up a complete image strip-by-strip. 

The instrument contained several key components. As the spacecraft moved forward along its track, the Scan Mirror Assembly (SMA) moved back and forth collecting solar energy, creating the 185-kilometer swath. Then, a telescope directed this energy to two focal planes which collected and filtered electromagnetic energy into eight spectral bands. ETM+ also contained a deep space radiator, relay optics, and the Scan Line Corrector (SLC). The SLC was a small mechanical device that compensated for the satellite’s motion during scanning, allowing the ETM+ instrument to scan smoothly from one strip to the next to create a complete, gap-free image.

Within each of the two focal planes, detectors measured the intensity of reflected light and emitted thermal energy. The detectors were arranged to separate solar energy into eight different bands.

ETM+ also had three independent on-board calibration systems to calibrate the panchromatic, visible and near-infrared (VNIR), and short-wavelength infrared (SWIR) bands. In addition to the calibration lamps and shutter used on the TM, the ETM+ added two new calibrators which allowed the instrument to use the sun as an absolute radiometric calibration source. These calibrators, along with ground-based validation, produced radiometric uncertainty within five percent—a significant improvement from previous sensors. This accuracy provided a reliable standard for integrating ETM+ data with other satellite observations.

Graphic showing the Landsat 7 ETM+ Scan Line Corrector (SLC) operation. The top diagram illustrates the uncompensated orbital motion of the spacecraft without the SLC and looks like a zig-zag pattern. The bottom diagram shows parallel orbital tracks with the SLC.
The Scan Line Corrector (SLC) is a mechanism composed of two parallel nickel-plated beryllium mirrors set at an angle on a shaft. The SLC is positioned behind the primary optics and compensates for the along track motion of the spacecraft that occurs during an active cross-track scan. A linear scan pattern is produced using the SLC instead of the zig-zag pattern that would be produced without it.
NASA

Spectral Bands

ETM+ captured data in eight spectral bands. Seven of these bands mirrored those collected by the Thematic Mapper (TM), covering visible, near-infrared, shortwave-infrared, and thermal-infrared wavelengths. A new 15-meter panchromatic band (band 8, 0.52-0.90 μm) provided higher spatial resolution. The reflective bands maintained a 30-meter spatial resolution, while the thermal band (band 6, 10.4-12.5 μm) had an improved 60-meter resolution (compared with 120 meters on the TM). 

BandBand width (μm)GSD (m)
1 - Blue0.45-0.51530
2 - Green0.525-0.60530
3 - Red0.63-0.6930
4 - Near-infrared (NIR)0.775-0.9030
5 - Shortwave-infrared (SWIR) 11.55-1.7530
6 - Thermal-infrared (TIR)10.4-12.560 (resampled to 30)
7 - Shortwave-infrared (SWIR) 22.08-2.3530
8 - Panchromatic0.52-0.9015
Graphic showing the Landsat 7 ETM+ bands compared to the Landsat 4 and 5 TM bands.
The Landsat 7 ETM+ instrument captured data in eight spectral bands similar to those acquired by the TM instrument on Landsats 4 and 5. ETM+ added a panchromatic band with increased spatial resolution and included a high spatial resolution thermal-infrared band.
NASA/Ross Walter

Selected Publications

  • Chander, G., Xiong, X., Choi, T.-Y., & Amit Angal. (2010). Monitoring on-orbit calibration stability of the Terra MODIS and Landsat 7 ETM+ sensors using pseudo-invariant test sites. Remote Sensing of Environment, 114(4), 925–939. https://doi.org/10.1016/j.rse.2009.12.003 
  • Goward, S. N., Masek, J. G., Williams, D. L., Irons, J. R., & Thompson, R. J. (2001). The Landsat 7 mission. Remote Sensing of Environment, 78(1-2), 3–12. https://doi.org/10.1016/s0034-4257(01)00262-0
  • Kovalskyy, V., & Roy, D. P. (2013). The global availability of Landsat 5 TM and Landsat 7 ETM+ land surface observations and implications for global 30m Landsat data product generation. Remote Sensing of Environment, 130, 280–293. https://doi.org/10.1016/j.rse.2012.12.003 
  • Markham, B. L., Thome, K. J., Barsi, J. A., Kaita, E., Helder, D. L., Barker, J. L., & Scaramuzza, P. L. (2004). Landsat-7 ETM+ on-orbit reflective-band radiometric stability and absolute calibration. IEEE Transactions on Geoscience and Remote Sensing, 42(12), 2810–2820. https://doi.org/10.1109/tgrs.2004.836389 
  • Masek, J. G., Honzak, M., Goward, S. N., Liu, P., & Pak, E. (2001). Landsat-7 ETM+ as an observatory for land cover. Remote Sensing of Environment, 78(1-2), 118–130. https://doi.org/10.1016/s0034-4257(01)00254-1 
  • Roy, D. P., Ju, J., Kline, K., Scaramuzza, P. L., Kovalskyy, V., Hansen, M., Loveland, T. R., Vermote, E., & Zhang, C. (2010). Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States. Remote Sensing of Environment, 114(1), 35–49. https://doi.org/10.1016/j.rse.2009.08.011 
  • Roy, D. P., Kovalskyy, V., Zhang, H. K., Vermote, E. F., Yan, L., Kumar, S. S., & Egorov, A. (2016). Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity. Remote Sensing of Environment, 185, 57–70. https://doi.org/10.1016/j.rse.2015.12.024
  • Thome, K. J. (2001). Absolute radiometric calibration of Landsat 7 ETM+ using the reflectance-based method. Remote Sensing of Environment, 78(1-2), 27–38. https://doi.org/10.1016/s0034-4257(01)00247-4