6533b862fe1ef96bd12c6b9b
RESEARCH PRODUCT
Vicarious Calibration of Landsat-8 Thermal Data Collections and its Influence on Split-Window Algorithm Validation
S. Garcia-monteiroJosé A. SobrinoD. SkokovicGuillem SoriaJosé Gomis-cebollaYves JulienJ. C. Jiménezsubject
010504 meteorology & atmospheric sciencesStray lightContinuous monitoring0211 other engineering and technologies02 engineering and technology01 natural sciencesTemperature measurementStandard deviationInfrared windowThermalCalibrationEnvironmental scienceSatelliteAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciencesdescription
Landsat 8 (L8) satellite was launched on February 11, 2013 with two thermal bands located in the atmospheric window between $10-12\ \mu \mathrm{m}$ . Continuous monitoring of the Thermal Infrared Sensor (TIRS) onboard of L8 was performed over two Spanish test sites – Barrax and Donana – in order to contribute to the quality of TIRS data. In this work, a Vicarious Calibration (VC) of the TIRS bands was performed between years 2013–2016 in order to assess the new Stray Light (SL) data correction. The results of VC show us that band 10 and 11 provide accurate results (bias near to zero, and precision around 0.8 K) which is an improvement – especially for band 11 – in comparison to preprocessed SL data. This little better performance has direct influence on Split Window (SW) algorithm, lowering its standard deviation into 0.3 K, as is shown in this work.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-07-01 | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |