EO·Atlas
Preview build / EO·Atlas v0.9, content still landing
Methodology ยท Thermal IR

Thermal infrared imaging

Passive imaging of thermal radiation emitted by the surface and atmosphere in a small number of discrete mid-wave and long-wave infrared bands, from cooled or uncooled detectors and typically calibrated against onboard blackbodies. It works day and night because the signal is thermal emission, although the mid-wave bands also pick up reflected sunlight by day. It does not see through cloud. It is the base imaging method behind thermal imagery, hotspot detection and cloud-top temperature, and the retrievals of surface and sea temperature build on it.

Thermal infrared imaging is used to measure the radiance emitted by land, water, fires and cloud tops, recorded in a small number of discrete mid-wave infrared (MWIR) and long-wave infrared (LWIR) bands. It depends on a cooled or temperature-controlled detector and on onboard calibration. It works at night because the signal is thermal emission, but it does not see through cloud, and its mid-wave bands pick up reflected sunlight by day. Demonstrated implementations include the Landsat Thermal Infrared Sensor (TIRS) [1], the Moderate Resolution Imaging Spectroradiometer (MODIS) [2], the Visible Infrared Imaging Radiometer Suite (VIIRS) [3], the Sea and Land Surface Temperature Radiometer (SLSTR) [4], the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) [5] and the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) [6].

The output is radiance or brightness temperature per band. Hydrosat and OroraTech each deliver that as a Level 1 product and surface temperature as a separate Level 2 product [7][8]. Land surface temperature and sea surface temperature retrievals, and thermal anomaly detection, build on this imagery.

Detectors are cooled or uncooled. MODIS uses mercury cadmium telluride focal planes cooled to 83 K by a passive radiative cooler [2], and VIIRS cools its mid-wave and long-wave focal planes to about 82.5 K in the same way [3]. TIRS uses quantum well infrared photodetector arrays held at 43 K by a two-stage mechanical cryocooler [1], and ECOSTRESS uses a mercury cadmium telluride array at 65 K with cryocoolers [6]. Cooled cameras give high calibration fidelity, but cryocoolers conflict with small-satellite size, weight and power limits [9]. NASA's Multiband Uncooled Radiometer Instrument flew a microbolometer in January 2023 with a constant-temperature control loop and a calibration paddle [10].

Agency instruments calibrate against a space view and onboard blackbodies. VIIRS uses a blackbody at about 292.5 K [3], SLSTR views blackbodies at 265 K and 302 K once per scan cycle [4], ECOSTRESS views two blackbodies every 1.29 seconds [6], and TIRS views its blackbody routinely [1].

Ground sampling varies widely. MODIS has 16 thermal emissive bands at 1000 m [11], VIIRS has seven at 750 m and 375 m [3], SLSTR samples at 1 km [4], ASTER has five at 90 m [5] and ECOSTRESS has five at 38 by 69 m at nadir [6]. TIRS has two LWIR bands with a 120 m requirement, a 100 m design and bands resampled to 30 m in delivered products [1]. Commercial imagers include SatVu HotSat, one MWIR band at 3.5 m [12], constellr SkyBee, four thermal bands at 28.9 m with accuracy under 2 K [13], and Hydrosat VanZyl, two LWIR bands at 70 m [7]. Thermal sensitivity is specified as noise-equivalent temperature difference (NEdT); the MODIS requirement is 0.05 K for bands 20, 29, 31 and 32 at 300 K [11].

Cloud, sunlight and calibration set the main limits. The method does not see through cloud; MODIS assigns bands 29 and 31 to 36 to cloud properties and cloud-top altitude [11]. By day, mid-wave radiance combines emission with reflected sunlight. He and Li (2011) found that this contamination depends on albedo, solar zenith angle and atmosphere, can produce an equivalent temperature error of up to 40 K over highly reflective surfaces and cooler targets, and weakens fire contrast, while at night the signal is emission alone [14]. SatVu lists its MWIR band as 3700 to 4950 nm at night and 4325 to 4950 nm by day [12]. Water vapour also affects the signal: TIRS flies two LWIR bands to separate surface temperature from atmospheric effects [1].

Calibration errors occur. Stray light from outside the TIRS field of view gave initial errors of minus 2.1 K in band 10 and minus 4.4 K in band 11 at 300 K [15]. A software correction in February 2017 reduced the variability [15], and Landsat 9 fixed the problem in hardware [1]. Uncooled microbolometers are sensitive to their own temperature: a 1 degree Celsius rise in chip temperature lowers the measured temperature by 7.2 degrees [9].

Topic
Fit
Building thermal performancefirst choice

Provides night-time thermal imagery for roof and district heat-loss screening; individual roofs need commercial mid-wave imagery at a few metres.

Cloud propertiesfirst choice

Retrieves cloud-top temperature and cloud-top height from thermal window bands and the 13 to 14 um CO2 bands, and the night cloud mask, which reflective imaging cannot supply.

Urban heat islandfirst choice

Provides the thermal radiance imagery from which surface temperature maps of urban areas are retrieved, day and night.

Wildfirefirst choice

Supplies the mid-wave and long-wave radiance from which active fires are detected, day and night; thermal anomaly detection is the analysis built on it.

Demonstrated
Capable, undemonstrated
  • Visual and Infrared Multispectral Sensorpending review

    [acrs-vims-2019] 12-band sensor reported to cover 0.45 to 12.5 um including thermal infrared; detailed public specifications were not available.

  • Sea Surface Temperature Monitor

    [wmo-sstm] Two thermal channels at 10.75-11.25 and 11.75-12.25 um, 1.08 km; current operation is unavailable [mosdac-oceansat3].

  • TSCOUT

    [cosine-tscout-case] Three thermal infrared bands, 10 to 12.5 um, 85 m GSD; thermal-only small-satellite imager.

  • T-Scout HP

    [cosine-valk-pami-announcement] Three thermal infrared channels, 10.0-12.5 um, 85 m GSD; thermal-only small-satellite imager.

  • Retrieves surface temperature and spectral emissivity from TIR radiance measurements; good for urban heat islands, drought stress monitoring, and surface energy balance studies.

  • Retrieves ocean skin or subskin temperature from calibrated thermal-infrared split-window radiances, with passive-microwave radiometry providing coarser all-weather SST continuity.

Sources
Methodology

Edited from public sources. Last reviewed 2026-10-21 by SpectraWorks editorial. See the data dictionary for field definitions.

Cite or share
Markdown twin →
How to cite this page

Plain text

Thermal infrared imaging. EO-Atlas, SpectraWorks B.V., last reviewed 2026-10-21. https://eo-atlas.org/topics/methodologies/thermal-infrared-imaging (CC BY 4.0)

BibTeX

@misc{eoatlas:topics:methodologies:thermal-infrared-imaging,
  title = {Thermal infrared imaging},
  author = {{EO-Atlas}},
  publisher = {SpectraWorks B.V.},
  year = {2026},
  note = {Last reviewed 2026-10-21. CC BY 4.0},
  url = {https://eo-atlas.org/topics/methodologies/thermal-infrared-imaging}
}