Calibration of Landsat 5 thermal infrared channel: updated calibration history and assessment of the errors associated with the methodology

Padula, Francis; Schott, John R.; Barsi, Julia A.; Raqueño, Nina G.; Hook, Simon J.

doi:10.5589/m10-084

Cited by 11 publications

(11 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MODTRAN radiative transfer code has been used in conjunction with ground truth data to support all Landsat calibration and it has been shown that errors in the process are dominated by lack of knowledge of atmospheric variables rather than the radiative transfer code itself. The residual error in the process is on the order of a few tenths Kelvin [3].…”

Section: Use Of Radiative Transfer Models To Estimate Top Of Atmosphementioning

confidence: 97%

“…Padula et al (2011) [3] applied this approach to a small set of buoys with large fetch (open water upwind from the buoy site) and clear sky conditions (i.e., Landsat calibration conditions) and demonstrated its applicability to a wider range of conditions than the South Pacific where Zeng et al (1999) [12] gathered the data used to develop the coefficients. Note that this entire process when applied to a wide range of buoys typically amounts to corrections of only a few tenths Kelvin (large corrections would only be needed at low wind speeds and are rejected as untrusted); however, because we are attempting to achieve an overall calibration with a residual error of that same order, this level of correction is necessary.…”

Section: Sub Surface To Skin Temperature Adjustmentmentioning

confidence: 99%

“…To test this methodology, hundreds of points were produced for the well calibrated Landsat 5 and Landsat 7 instruments [3,5] to confirm that the results agreed with the traditional calibration. Only then, if appropriate-i.e., a successful comparison-would the method be applied to the Landsat 8 calibration for which it was designed.…”

Section: Automated Screening Of Landsat Datamentioning

confidence: 99%

“…More recently RIT has augmented its field campaigns with data from a small number of NOAA moored buoys [3]. The NOAA buoy approach was shown to be nearly as accurate as the traditional field campaigns [4] and, because of their number and long term deployment, a larger number of samples was obtained, improving the overall confidence in the calibration.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Development of an Operational Calibration Methodology for the Landsat Thermal Data Archive and Initial Testing of the Atmospheric Compensation Component of a Land Surface Temperature (LST) Product from the Archive

et al. 2014

View full text Add to dashboard Cite

Abstract:The Landsat program has been producing an archive of thermal imagery that spans the globe and covers 30 years of the thermal history of the planet at human scales (60-120 m). Most of that archive's absolute radiometric calibration has been fixed through vicarious calibration techniques. These calibration ties to trusted values have often taken a year or more to gather sufficient data and, in some cases, it has been over a decade before calibration certainty has been established. With temperature being such a critical factor for all living systems and the ongoing concern over the impacts of climate change, NASA and the United States Geological Survey (USGS) are leading efforts to provide timely and accurate temperature data from the Landsat thermal data archive. This paper discusses two closely related advances that are critical steps toward providing timely and reliable temperature image maps from Landsat. The first advance involves the development and testing of an autonomous procedure for gathering and performing initial screening of large amounts of vicarious calibration data. The second advance discussed in this paper is the per-pixel atmospheric compensation of the data to permit calculation of the emitted surface radiance (using ancillary sources of emissivity data) and the corresponding land surface temperature (LST).

show abstract

Section: Use Of Radiative Transfer Models To Estimate Top Of Atmosphementioning

confidence: 97%

Section: Sub Surface To Skin Temperature Adjustmentmentioning

confidence: 99%

Section: Automated Screening Of Landsat Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of an Operational Calibration Methodology for the Landsat Thermal Data Archive and Initial Testing of the Atmospheric Compensation Component of a Land Surface Temperature (LST) Product from the Archive

et al. 2014

View full text Add to dashboard Cite

show abstract

“…Because the buoys do not make measurements of skin temperature, a correction needs to be made to estimate the surface-leaving radiance based on the subsurface temperature. Using 24 h of temperature measurements before the satellite overpass along with meteorological data, the surface temperature can be estimated from the subsurface values [18]. The method accounts for the diurnal cycle, the temporal phase shift in the diurnal cycle with depth, thermal gradients with depth that are a function of wind speed and the cool skin effect [8].…”

Section: Rit Noaa Ocean and Great Lakesmentioning

confidence: 99%

Landsat-8 Thermal Infrared Sensor (TIRS) Vicarious Radiometric Calibration

et al. 2014

View full text Add to dashboard Cite

Launched in February 2013, the Landsat-8 carries on-board the Thermal Infrared Sensor (TIRS), a two-band thermal pushbroom imager, to maintain the thermal imaging capability of the Landsat program. The TIRS bands are centered at roughly 10.9 and 12 μm (Bands 10 and 11 respectively). They have 100 m spatial resolution and image coincidently with the Operational Land Imager (OLI), also on-board Landsat-8. The TIRS instrument has an internal calibration system consisting of a variable temperature blackbody and a special viewport with which it can see deep space; a two point calibration can be performed twice an orbit. Immediately after launch, a rigorous vicarious calibration program was started to validate the absolute calibration of the system. The two vicarious calibration teams, NASA/Jet Propulsion Laboratory (JPL) and the Rochester Institute of Technology (RIT), both make use of buoys deployed on large water bodies as the primary monitoring technique. RIT took advantage of cross-calibration opportunity soon after launch when Landsat-8 and Landsat-7 were imaging the same targets within a few minutes of each other to perform a validation of the absolute calibration. Terra MODIS is also being used for regular monitoring OPEN ACCESSRemote Sens. 2014, 6 11608 of the TIRS absolute calibration. The buoy initial results showed a large error in both bands, 0.29 and 0.51 W/m 2 ·sr·μm or −2.1 K and −4.4 K at 300 K in Band 10 and 11 respectively, where TIRS data was too hot. A calibration update was recommended for both bands to correct for a bias error and was implemented on 3 February 2014 in the USGS/EROS processing system, but the residual variability is still larger than desired for both bands (0.12 and 0.2 W/m 2 ·sr·μm or 0.87 and 1.67 K at 300 K). Additional work has uncovered the source of the calibration error: out-of-field stray light. While analysis continues to characterize the stray light contribution, the vicarious calibration work proceeds. The additional data have not changed the statistical assessment but indicate that the correction (particularly in band 11) is probably only valid for a subset of data. While the stray light effect is small enough in Band 10 to make the data useful across a wide array of applications, the effect in Band 11 is larger and the vicarious results suggest that Band 11 data should not be used where absolute calibration is required.

show abstract

Assessment of Urban Heat Islands Effect and Land Surface Temperature of Noida, India by Using Landsat Satellite Data

Suhail

Khan

Faridi

2019

MAPAN

View full text Add to dashboard Cite

Calibration of Landsat 5 thermal infrared channel: updated calibration history and assessment of the errors associated with the methodology

Cited by 11 publications

References 20 publications

Development of an Operational Calibration Methodology for the Landsat Thermal Data Archive and Initial Testing of the Atmospheric Compensation Component of a Land Surface Temperature (LST) Product from the Archive

Development of an Operational Calibration Methodology for the Landsat Thermal Data Archive and Initial Testing of the Atmospheric Compensation Component of a Land Surface Temperature (LST) Product from the Archive

Landsat-8 Thermal Infrared Sensor (TIRS) Vicarious Radiometric Calibration

Assessment of Urban Heat Islands Effect and Land Surface Temperature of Noida, India by Using Landsat Satellite Data

Contact Info

Product

Resources

About