Radiometric uncertainty per pixel for the Sentinel-2 L1C products

Gorroño, Javier; Gascon, Ferran; Fox, Nigel

doi:10.1117/12.2192974

Cited by 5 publications

(7 citation statements)

References 12 publications

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“…The previous work in [16] showed how the dark noise standard deviation (α parameter) was not changing significantly across the sensor array. It was ultimately limited by the Poisson distribution with approximate changes of ±0.1 LSB.…”

Section: Instrument Noisementioning

confidence: 99%

“…Another byte image could potentially be included in future versions, and include information regarding specific flags for polarisation or stray-light events as well as information related to the correlation between pixels in the time, space and spectral dimension [16]. To sum up, the idea is that an additional byte becomes a "quality indicator" that supports the calculation of uncertainty and their application.…”

Section: Output Generationmentioning

confidence: 99%

“…The script automatically reads certain calibration parameters as DS or relative gain coefficients. The version was presented in [16] and expanded to L1C in [17]. The effects of the contributors detailed in Sections 3.2.2 and 3.2.9 are not considered, since they are added linearly in Equation (13).…”

Section: Validation Of the Central Limit Theoremmentioning

confidence: 99%

“…If the samples are fully uncorrelated, the standard deviation of the mean describes the associated uncertainty. When this is not the case, alternative methods such as the Allan deviation have been described and applied to the S2 dark datasets in [16]. In that case, it was demonstrated how hundreds of samples can be considered as independent in the dark dataset for most of the pixels and bands.…”

mentioning

confidence: 99%

“…Note, however, that for specific cases, the DoP could be above 10%-e.g., inner water and coastal measurements. For those cases, the error should be flagged and, if necessary, corrected as discussed in [16].…”

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confidence: 99%

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A Radiometric Uncertainty Tool for the Sentinel 2 Mission

et al. 2017

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Abstract:In the framework of the European Copernicus programme, the European Space Agency (ESA) has launched the Sentinel-2 (S2) Earth Observation (EO) mission which provides optical high spatial resolution imagery over land and coastal areas. As part of this mission, a tool (named S2-RUT, from Sentinel-2 Radiometric Uncertainty Tool) has been developed. The tool estimates the radiometric uncertainty associated with each pixel in the top-of-atmosphere (TOA) reflectance factor images provided by ESA. This paper describes the design and development process of the initial version of the S2-RUT tool. The initial design step describes the S2 radiometric model where a set of uncertainty contributors are identified. Each of the uncertainty contributors is specified by reviewing the preand post-launch characterisation. The identified uncertainty contributors are combined following the guidelines in the 'Guide to Expression of Uncertainty in Measurement' (GUM) model and this combination model is further validated by comparing the results to a multivariate Monte Carlo Method (MCM). In addition, the correlation between the different uncertainty contributions and the impact of simplifications in the combination model have been studied. The software design of the tool prioritises an efficient strategy to read the TOA reflectance factor images, extract the auxiliary information from the metadata in the satellite products and the codification of the resulting uncertainty image. This initial version of the tool has been implemented and integrated as part of the Sentinels Application Platform (SNAP).

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Section: Instrument Noisementioning

confidence: 99%

Section: Output Generationmentioning

confidence: 99%

Section: Validation Of the Central Limit Theoremmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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A Radiometric Uncertainty Tool for the Sentinel 2 Mission

et al. 2017

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Providing uncertainty estimates of the Sentinel-2 top-of-atmosphere measurements for radiometric validation activities

Gorroño

Hunt

Scanlon

et al. 2018

European Journal of Remote Sensing

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As part of the Sentinel-2 mission, a Radiometric Uncertainty Tool (RUT) has been recently released to the community. This tool estimates the Sentinel-2 radiometric uncertainty associated with each pixel in the top-of-atmosphere (TOA) reflectance factor images provided by the European Space Agency (ESA). The use of such information enables users to assess the "fitness for purpose" of the data to their specific application. The work described here summarises the efforts and results of integrating the RUT for radiometric validation activities for the Sentinel-2 mission. Starting from the results provided by the RUT, the focus will be on providing a methodology to calculate the uncertainty associated with the mean TOA reflectance factor in a Region of Interest (ROI). Two different methodsone simple method directly using the RUT and a more rigorous one based on Monte Carlo method (MCM) propagationare proposed and compared. These two methods focus on the effect of the spectral, spatial and temporal correlation of the errors in different ROI pixels and the impact of correlation on the uncertainty associated with the mean TOA reflectance factor. The study has also considered the impact of uncertainty contributions not included in the first version of the RUT.

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Uncertainty Quantification in Synthetic Aperture Radar Remote Sensing Data Processing

Savastano

Guida

2018

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

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A new methodology, based on the International Organization for Standardization (ISO) Guide to the expression of Uncertainty in Measurement (GUM), for the analysis of uncertainties in Synthetic Aperture Radar (SAR) remote sensing data is presented. The principal idea is to assess the sources of uncertainty, developing computational approaches to propagate uncertainties through the whole SAR signal processing chain. The final goal is to construct uncertainties budgets to quantify the total uncertainty of SAR products, permitting their 'traceability' to international reference standards.

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Radiometric uncertainty per pixel for the Sentinel-2 L1C products

Cited by 5 publications

References 12 publications

A Radiometric Uncertainty Tool for the Sentinel 2 Mission

A Radiometric Uncertainty Tool for the Sentinel 2 Mission

Providing uncertainty estimates of the Sentinel-2 top-of-atmosphere measurements for radiometric validation activities

Uncertainty Quantification in Synthetic Aperture Radar Remote Sensing Data Processing

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