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Comparison of land surface emissivity and radiometric temperature derived from MODIS and ASTER sensors
- Source :
- Remote Sensing of Environment, Remote Sensing of Environment, 2004, 90 (2), pp.137-152. ⟨10.1016/j.rse.2003.11.015⟩
- Publication Year :
- 2004
- Publisher :
- HAL CCSD, 2004.
-
Abstract
- International audience; This study compared surface emissivity and radiometric temperature retrievals derived from data collected with the MODerate resolution Imaging Spectroradiometer (MODIS) and Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) sensors, onboard the NASA's Earth Observation System (EOS)-TERRA satellite. Two study sites were selected: a semi-arid area located in northern Chihuahuan desert, USA, and a Savannah landscape located in central Africa. Atmospheric corrections were performed using the MODTRAN 4 atmospheric radiative transfer code along with atmospheric profiles generated by the National Center for Environmental Predictions (NCEP). Atmospheric radiative properties were derived from MODTRAN 4 calculations according to the sensor swaths, which yielded different strategies from one sensor to the other. The MODIS estimates were then computed using a designed Temperature-Independent Spectral Indices of Emissivity (TISIE) method. The ASTER estimates were derived using the Temperature Emissivity Separation (TES) algorithm. The MODIS and ASTER radiometric temperature retrievals were in good agreement when the atmospheric corrections were similar, with differences lower than 0.9 K. The emissivity estimates were compared for MODIS/ASTER matching bands at 8.5 and 11 μm. It was shown that the retrievals agreed well, with RMSD ranging from 0.005 to 0.015, and biases ranging from −0.01 to 0.005. At 8.5 μm, the ranges of emissivities from both sensors were very similar. At 11 μm, however, the ranges of MODIS values were broader than those of the ASTER estimates. The larger MODIS values were ascribed to the gray body problem of the TES algorithm, whereas the lower MODIS values were not consistent with field references. Finally, we assessed the combined effects of spatial variability and sensor resolution. It was shown that for the study areas we considered, these effects were not critical.
- Subjects :
- [SDV.SA]Life Sciences [q-bio]/Agricultural sciences
TISIE
010504 meteorology & atmospheric sciences
[SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]
[SDE.MCG]Environmental Sciences/Global Changes
0211 other engineering and technologies
[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy
Soil Science
02 engineering and technology
Surface emissivity and radiometric temperature
01 natural sciences
Spatial variability
ASTER
Atmospheric corrections
Emissivity
Radiative transfer
Computers in Earth Sciences
[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
ComputingMilieux_MISCELLANEOUS
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
[SDV.EE]Life Sciences [q-bio]/Ecology, environment
Radiometer
MODTRAN
[SDE.IE]Environmental Sciences/Environmental Engineering
Atmospheric correction
Geology
MIR/TIR remote sensing
[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism
MODIS
13. Climate action
Brightness temperature
[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic
Environmental science
Radiometry
Moderate-resolution imaging spectroradiometer
[SDV.EE.BIO]Life Sciences [q-bio]/Ecology, environment/Bioclimatology
TES
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Subjects
Details
- Language :
- English
- ISSN :
- 00344257
- Database :
- OpenAIRE
- Journal :
- Remote Sensing of Environment, Remote Sensing of Environment, 2004, 90 (2), pp.137-152. ⟨10.1016/j.rse.2003.11.015⟩
- Accession number :
- edsair.doi.dedup.....131d132f9d0a0e2d89566f68ad7e4ccc
- Full Text :
- https://doi.org/10.1016/j.rse.2003.11.015⟩