Quality Assessment of S-NPP VIIRS Land Surface Temperature Product

The VIIRS Land Surface Temperature (LST) Environmental Data Record (EDR) has reached validated (V1 stage) maturity in December 2014. This study compares VIIRS v1 LST with the ground in situ observations and with heritage LST product from MODIS Aqua and AATSR. Comparisons against U.S. SURFRAD ground...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2015-09, Vol.7 (9), p.12215-12241
Main Authors: Liu, Yuling, Yu, Yunyue, Yu, Peng, Gottsche, Frank M, Trigo, Isabel F
Format: Article
Language:English
Subjects:
Algorithms
Arid zones
Channels
Clouds
Emissivity
Ground stations
Ground-based observation
Land surface temperature
LST uncertainty
MODIS
Remote sensing
split window algorithm
Statistical methods
surface type dependency
Uncertainty
VIIRS LST EDR
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Summary:The VIIRS Land Surface Temperature (LST) Environmental Data Record (EDR) has reached validated (V1 stage) maturity in December 2014. This study compares VIIRS v1 LST with the ground in situ observations and with heritage LST product from MODIS Aqua and AATSR. Comparisons against U.S. SURFRAD ground observations indicate a similar accuracy among VIIRS, MODIS and AATSR LST, in which VIIRS LST presents an overall accuracy of -0.41 K and precision of 2.35 K. The result over arid regions in Africa suggests that VIIRS and MODIS underestimate the LST about 1.57 K and 2.97 K, respectively. The cross comparison indicates an overall close LST estimation between VIIRS and MODIS. In addition, a statistical method is used to quantify the VIIRS LST retrieval uncertainty taking into account the uncertainty from the surface type input. Some issues have been found as follows: (1) Cloud contamination, particularly the cloud detection error over a snow/ice surface, shows significant impacts on LST validation; (2) Performance of the VIIRS LST algorithm is strongly dependent on a correct classification of the surface type; (3) The VIIRS LST quality can be degraded when significant brightness temperature difference between the two split window channels is observed; (4) Surface type dependent algorithm exhibits deficiency in correcting the large emissivity variations within a surface type.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs70912215