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A radiometric uncertainty tool for the Sentinel 2 mission.

Gorrono, J; Fomferra, N*; Peters, M*; Gascon, F*; Underwood, C I*; Fox, N P; Kirches, G*; Brockmann, C* (2017) A radiometric uncertainty tool for the Sentinel 2 mission. Remote Sens., 9 (2). p. 178.

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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) estimates the radiometric uncertainties associated to each pixel using as input 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 pre- and 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 - code available at [1] - and integrated as part of the Sentinels Application Platform (SNAP).

Item Type: Article
Keywords: uncertainty, Sentinel 2, RUT, GUM, radiometry
Subjects: Optical Radiation and Photonics
Optical Radiation and Photonics > Environment and Climate Change
Divisions: Chemical, Medical & Environmental Science
Identification number/DOI: 10.3390/rs9020178
Last Modified: 09 Feb 2018 14:08
URI: http://eprintspublications.npl.co.uk/id/eprint/7494

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