Articles | Volume 8, issue 11
https://doi.org/10.5194/amt-8-4699-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-4699-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Known and unknown unknowns: uncertainty estimation in satellite remote sensing
National Centre for Earth Observation, University of Oxford, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UK
R. G. Grainger
National Centre for Earth Observation, University of Oxford, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UK
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Short summary
Clear communication of the uncertainty on data is necessary for users to make appropriate use of it. This paper discusses the representation of uncertainty in satellite observations of the environment, arguing that the dominant sources of error are assumptions made during data analysis. The resulting uncertainty may be more usefully represented using ensemble techniques (a set of analyses using different assumptions to illustrate their impact) than with traditional statistical metrics.
Clear communication of the uncertainty on data is necessary for users to make appropriate use of...