6533b7d3fe1ef96bd1261260
RESEARCH PRODUCT
Surface temperature and water vapour retrieval from MODIS data
J. El KharrazZhao-liang LiJosé A. Sobrinosubject
Surface (mathematics)MeteorologyMODTRANScale (descriptive set theory)Standard deviationlaw.inventionlawRadiative transferRadiosondeGeneral Earth and Planetary SciencesEnvironmental scienceModerate-resolution imaging spectroradiometerWater vaporRemote sensingdescription
This paper gives operational algorithms for retrieving sea (SST), land surface temperature (LST) and total atmospheric water vapour content (W) using Moderate Resolution Imaging Spectroradiometer (MODIS) data. To this end, the MODTRAN 3.5 radiative transfer program was used to predict radiances for MODIS channels 31, 32, 2, 17, 18 and 19. To analyse atmospheric effects, a simulation with a set of radiosonde observations was used to cover the variability of surface temperature and water vapour concentration on a worldwide scale. These simulated data were split into two sets (DB1 and DB2), the first one (DB1) was used to fit the coefficients of the algorithms, while the second one (DB2) was used to test the fitted coefficients. The results show that the algorithms are capable of producing SST and LST with a standard deviation of 0.3 K and 0.7 K if the satellite data are error free. The LST product has been validated with in situ data from a field campaign carried out in the Mississippi (USA), the results sh...
year | journal | country | edition | language |
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2003-01-01 | International Journal of Remote Sensing |