NOAA20 and S-NPP VIIRS Land Surface Temperature Product Validation and Inter-Comparison

Liu, Yuling; Yu, Yunyue; Yu, Peng; Wang, Heshun

doi:10.1109/IGARSS39084.2020.9323853

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NOAA20 and S-NPP VIIRS Land Surface Temperature Product Validation and Inter-Comparison

2020
By Liu, Yuling ; Yu, Yunyue ; Yu, Peng ; ...
Source: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, pp. 6129-6132

[PDF-930.47 KB]

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Journal Title:

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Personal Author:

Liu, Yuling ; Yu, Yunyue ; Yu, Peng ; Wang, Heshun

Liu, Yuling ; Yu, Yunyue ; Yu, Peng ; Wang, Heshun Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CISESS (Cooperative Institute for Satellite Earth System Studies)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CISESS (Cooperative Institute for Satellite Earth System Studies) Less -
Description:

The enterprise Land Surface Temperature (LST) algorithm has been operationally implemented for Visible Infrared Imager Radiometer Suite (VIIRS) onboard both NOAA 20 (N20) and Suomi National Polar-orbiting Partnership (S-NPP) satellite since September, 2019. This study presents the validation of the two LST products. The ground based measurements from Baseline Surface Radiation Network (BSRN) and Surface Radiation Budget Network (SURFRAD) were used to estimate the quantitative uncertainty of the LST product. The validation results present a similarly close agreement between ground observations and satellite estimations from both N20 and S-NPP VIIRS LST products. The accuracy is about -0.4 K for N20 and -0.3 K for S-NPP and the precision is about 1.9 K for both LST products over SURFRAD sites. Similar performance is achieved over BSRN sites. In addition, the global inter-comparison of the two LST products were presented and analyzed.
Keywords:

[+]

Algorithms Artificial Satellites Earth Temperature Remote Sensing BSRN Enterprise Algorithm Land Surface Temperature (LST) LST Validation NOAA 20 S-NPP SURFRAD VIIRS
Source:

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, pp. 6129-6132
DOI:

https://doi.org/10.1109/IGARSS39084.2020.9323853
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Journal Article
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Submitted
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urn:sha256:251e63d8de6d66a2fe19a0447c918730b86b9ab70dc96e07b06735cf465c399e
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https://repository.library.noaa.gov/view/noaa/46645/noaa_46645_DS1.pdf
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NOAA20 and S-NPP VIIRS Land Surface Temperature Product Validation and Inter-Comparison

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