This data set consists of land surface brightness temperatures (TBs) derived from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper+ (ETM+) thermal bands. The Landsat data coincided with the SMEX02 campaign and were acquired once per day on 23 June, 1 July, 8 July, 16 July, and 17 July 2002 over the Walnut Creek watershed, Iowa, USA. The data collectively cover 41.69° N to 42.73° N and 93.16° W to 93.84° N. Landsat 7 ETM+ data have 60 m spatial resolution. Landsat 5 TM data have 30 m spatial resolution. The investigators used the MODTRAN 4.1 radiative transfer model to correct the original Level-1G radiances for atmospheric effects; then they converted radiances to TBs. Data are unsigned integer, band-interleaved-by-line (BIL), binary values, scaled by 100. Data are available via FTP.
These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements.
Jackson, T., F. Li, and W. Kustas. 2005. SMEX02 Landsat 5 and 7 Thematic Mapper land surface brightness temperatures. Boulder, CO, USA: National Snow and Ice Data Center. Digital media.
The following example shows how to cite the use of this data set in a publication. For more information, see our Use and Copyright Web page.
| Category | Description |
|---|---|
| Data format | Data are unsigned integer, band-interleaved-by-line (BIL), binary values, scaled by 100. Pixel values of "0" indicate missing data. Data are in a PC byte order (little endian). SGI and Sun users should byte-swap these data before using them. |
| Spatial coverage and resolution | Data collectively cover 41.69° N to 42.73° N and 93.16° W to 93.84° N (Walnut Creek watershed, Iowa, USA). Landsat 7 ETM+ data have 60 m pixel resolution. Landsat 5 TM data have 30 m pixel resolution. |
| Temporal coverage and resolution | Landsat data were acquired once per day on 23 June, 1 July, 8 July, 16 July, and 17 July 2002. |
| Tools for accessing data | Users can read these data with any remote sensing or image processing software. |
| File naming convention | File names are "ddmmyy_btemp.bil", where "dd" is the two-digit day, "mm" is the two-digit month, "yy" is the two-digit year, and "btemp" is brightness temperature (TB). |
| File size | File sizes range from 3.33 MB to 13.85 MB. |
| Parameter(s) | Data consist of brightness temperatures (TBs) in Kelvins. |
| Procedures for obtaining data | Data are available via FTP. |
1. Contacts and Acknowledgments
2. Detailed Data Description
3. Data Access and Tools
4. Data Acquisition and Processing
5. References and Related Publications
6. Document Information
Tom Jackson, Fuqin Li, and William Kustas
United States Department of Agriculture
Agricultural Research Service
Hydrology and Remote Sensing Laboratory
Beltsville, MD 20705-0000
NSIDC User Services
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
Boulder, CO 80309-0449 USA
phone: +1 303.492.6199
fax: +1 303.492.2468
form: Contact NSIDC User Services
e-mail: nsidc@nsidc.org
This research was supported by the NASA Earth Observing System (EOS) Aqua AMSR, Terrestrial Hydrology, and Global Water and Energy Cycle programs.
Land surface temperatures (Ts) and brightness temperatures (TBs) are key boundary conditions in many remote sensing-based land surface modeling schemes. Currently available satellite thermal infrared sensors provide data with different spatial resolutions and temporal coverage to estimate land surface temperature. The Geostationary Operational Environmental Satellite (GOES) has 4 km spatial resolution in the thermal infrared channel, while the NOAA-Advanced Very High Resolution Radiometer (AVHRR) and the NASA Terra- and Aqua-Moderate Resolution Imaging Spectroradiometer (MODIS) sensors have 1 km spatial resolution. The Terra-Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) provides significantly higher spatial resolution at 90 m. The Landsat 5 TM has 30 m resolution, and Landsat 7 ETM+, which has 60 m resolution. However, these instruments have a repeat cycle of 16 days. Some Ts standard products are available from NOAA AVHRR and MODIS data with a 1 km resolution. These low-resolution data are limited in some applications.
As part of the SMEX02 campaign, two Landsat 5 TM scenes and three Landsat 7 ETM+ scenes were acquired during the primary study period. These data were used to produce high-resolution (30 m to 60 m) TB data sets. Users should be aware that these satellite data represent a single point in time, while ground-based estimates were taken before, during, and after the SMEX02 campaign.
The following table summarizes characteristics of the five images in this data set.
| File name | 062302_btemp.bil |
070102_btemp.bil |
070802_btemp.bil |
071602_btemp.bil |
071702_btemp.bil |
|---|---|---|---|---|---|
| Date | 2002-06-23 |
2002-07-01 |
2002-07-08 |
2002-07-16 |
2002-07-17 |
| Time (Fractional hours in GMT) | 16.4943 |
16.7013 |
16.8083 |
16.5887 |
16.694 |
| Landsat No. | 5 |
7 |
7 |
5 |
7 |
| Path | 26 |
26 |
27 |
27 |
26 |
| Row | 31 |
31 |
31 |
31 |
31 |
| Upper-left corner (UTM, meters) | 431085.000 E 4731115.000 N |
431064.092 E 4731115.913 N |
431085.000 E 4731115.000 N |
431085.000 E 4731115.000 N |
431097.084 E 4731095.389 N |
| Upper-right corner (UTM, meters) | 486616.000 E 4731115.000 N |
486624.092 E 4731115.913 N |
484450.871 E 4731102.466 N |
486615.000 E 4731115.000 N |
486657.084 E 4731095.389 N |
| Lower-left corner (UTM, meters) | 431085.000 E 4616185.000 N |
431064.092 E 4616155.913 N |
431050.871 E 4616142.466 N |
431085.000 E 4616185.000 N |
431097.084 E 4616195.389 N |
| Lower-right corner (UTM, meters) | 486615.000 E 4616185.000 N |
486624.092 E 4616155.913 N |
484450.871 E 4616142.466 N |
486615.000 E 4616185.000 N |
486657.084 E 4616195.389 N |
| Pixel size (meters) | 30 |
60 |
60 |
30 |
60 |
| Rows | 3831 |
1916 |
1916 |
3831 |
1915 |
| Columns | 1851 |
926 |
890 |
1851 |
926 |
Brightness temperature data are unsigned integer, band-interleaved-by-line (BIL), binary values, scaled by 100. Pixel values of "0" indicate missing data. Data are in a PC byte order (little endian). SGI and Sun users should byte-swap these data before using them.
The FTP site contains five files. See the Image Specifications table above for characteristics of each file.
File names are "ddmmyy_btemp.bil", where "dd" is the two-digit day, "mm" is the two-digit month, "yy" is the two-digit year, and "btemp" is TB.
062002_btemp.bil: 13.850 MB
070102_btemp.bil: 3.466 MB
070802_btemp.bil: 3.331 MB
071602_btemp.bil: 13.850 MB
071702_btemp.bil: 3.464 MB
The Landsat data coincided with the SMEX02 experiment and were acquired over the Walnut Creek watershed in the Iowa study region. The data collectively cover the following area:
Southernmost Latitude: 41.69° N
Northernmost Latitude: 42.73° N
Westernmost Longitude: 93.84° W
Easternmost Longitude: 93.16° W
Landsat ETM+ data have 60 m pixel resolution. The original Landsat 5 TM Level-1G data from the United States Geological Survey (USGS) have a 120 m footprint, but the USGS resampled the data to 30 m spatial resolution.
These Landsat data are in a Universal Transverse Mercator (UTM) Zone 15 projection and North America (NAD83) datum.
The Landsat scenes in this data set were acquired on 23 June, 1 July, 8 July, 16 July, and 17 July 2002.
Pixel values represent TBs in Kelvins, scaled by 100.
Data values range from 23044 (230.44 K) to 33553 (335.33 K).
Converting radiances to Ts and TBs involves a number of assumptions and approximations. Sensor properties represent one source of error. The calibration error is within ±0.6 K for ETM+ data obtained after December 2000, while the calibration error from TM is difficult to quantify; past studies indicate it is quite significant and requires recalibration with in situ data (Li et al. 2004).
A second source of error arises from the accuracy of water vapor measurements while using the MODTRAN atmospheric correction model. Schmugge, Hook, and Call (1998) estimate this as nominally 10%. If the target TB is 300 K, this could lead to a TB error of about 0.5 K for ETM+ data (Li et al. 2004).
A third source of error comes from estimating surface emissivity. The emissivity of the soil is relatively high at the Iowa study site, and the site is also vegetated. The investigators assumed a general emissivity of about 0.98. The emissivity error for this site should be less than 0.005, which could lead to a change of 0.2 K (ETM+ data) in the Ts when the target TB is 300 K (Li et al. 2004).
The estimated overall accuracy of the TBs is approximately 1° K when comparing tower and satellite measurements. The TM TBs were recalibrated using low-altitude aircraft measurements (Li et al. 2004). Analysis revealed that the post-calibrated TBs from ETM+ still have a 0.98° C bias when compared to tower measurements. The TBs from TM have a bias of 1.47° C when compared to tower measurements (Li et al. 2004).
Data are available via FTP.
The entire data set is 37.1 MB.
Users can read these data with any remote sensing or image processing software.
See Soil Moisture Experiment (SMEX) for more information.
TM is a multispectral scanning radiometer carried on Landsats 4 and 5. The TM has seven spectral bands, with a spatial resolution of 30 m for most bands.
ETM+, an improved version of TM, is carried on Landsat 7. The ETM+ has eight spectral bands with a spatial resolution of 60 m for most bands.
The original TM and ETM+ radiance data from the USGS were Level-1G products, partly georegistered and radiometrically corrected. However, the data were not corrected for atmospheric effects.
Atmospheric Correction
Radiance from a satellite platform is strongly affected by the presence of the atmosphere. So, atmospheric correction is needed to convert satellite-based radiance to an estimated surface TB. The MODTRAN 4.1 radiative transfer model (Berk et al. 1998) was used to correct for atmospheric effects. See Li et al. (2004) for details of how the investigators derived land surface TBs and surface temperature data during SMEX02.
The sensor radiance (Iλ) is expressed as follows (Schmugge, Hook, and Col 1998):
Iλ = tλIλ(0) + dλ
Where,
tλ is atmospheric transmittance
Iλ(0) is the surface-leaving radiance
dλ is the spectral radiance added by the atmosphere
A TB is simply the temperature corresponding to a blackbody radiator emitting the same radiance. Radiance data can be converted into equivalent TBs as the following equation shows. The surface-leaving radiance, Iλ(0), can be expressed in terms of surface temperature in the following manner:
Iλ(0) = IλB(TB) = ελIλB(Ts) + (1 - ελ)Idλ
Where,
ελ is the wavelength-dependent surface emmisivity
IλB(Ts) is the spectral radiance from a blackbody at surface temperature Ts
Idλ is the downwelling sky radiance due to the atmosphere
Using MODTRAN, tλ, dλ, and Idλ can be obtained from Landsat band response functions and radiosonde data.
Brightness Temperature Calculation
For Landsat thermal data, the investigators computed surface TBs in Kelvins for each pixel using the following equation:
TB = (k2 / ln[k1 / Iλ(0) + 1])
Where,
Iλ(0) is the integrated band radiance (Wm-2 sr-1 µm-1) from the first atmospheric correction equation above
k1 and k2 are calibration constants chosen to optimize the approximation for the band pass of the sensor. For Landsat 7, k1 is 666.09 Wm-2 sr-1 µm-1 and k2 is 1282.71 K (GSFC 2005). For Landsat 5, k1 is 607.76 Wm-2 sr-1 µm-1 and k2 is 1260.56 K (Schneider and Mauser 1996). When emissivity is known, all of the above equations can be used to estimate Ts.
Berk A., L.S. Bernstein, G.P. Anderson, P.K. Acharya, D.C. Robertson, J.H. Chetwynd, and S.M. Adler-Golden. 1998. MODTRAN cloud and multiple scattering upgrades with application to AVIRIS. Remote Sensing of the Environment 65: 367-375.
Li, F., T.J. Jackson, W.P. Kustas, T.J. Schmugge, A.N. French, M. Cosh, and R. Bindlish. 2004. Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX. Remote Sensing of the Environment 92: 521-534.
NASA Goddard Space Flight Center (GSFC). "Landsat 7 Science Data Users Handbook." Updated 24 June 2005.
http://ltpwww.gsfc.nasa.gov/IAS/handbook/handbook_toc.html.
Accessed August 2005.
Schmugge, T., S.J. Hook, and C. Coll. 1998. Recovering surface temperature and emissivity from thermal infrared multispectral data. Remote Sensing of the Environment 65: 121-131.
Schneider, K., and W. Mauser. 1996. Processing and accuracy of Landsat Thematic Mapper data for lake surface temperature measurement. International Journal of Remote Sensing 17: 2027-2041.
The following acronyms and abbreviations are used in this document.
| AMSR | Advanced Microwave Scanning Radiometer |
| ASTER | Advanced Spaceborne Thermal Emission and Reflection Radiometer |
| AVHRR | Advanced Very High Resolution Radiometer |
| BIL | Band-Interleaved-by-Line |
| EOS | Earth Observing System |
| ETM+ | Enhanced Thematic Mapper+ |
| FTP | File Transfer Protocol |
| GMT | Greenwich Mean Time |
| GOES | Geostationary Operational Environmental Satellite |
| GSFC | Goddard Space Flight Center |
| NAD83 | North American Datum of 1983 |
| NOAA | National Oceanic and Atmospheric Administration |
| SMEX | Soil Moisture Experiment |
| TM | Thematic Mapper |
| USGS | United States Geological Survey |
| UTM | Universal Transverse Mercator |
August 2005
August 2005
August 2005
http://nsidc.org/data/docs/daac/nsidc0241_smex_landsat_tbs.gd.html