Published October 15, 2019 | Version v1

A Novel Framework to Harmonise Satellite Data Series for Climate Applications: Matchups, Calibration Parameters and Residuals

  • 1. FastOpt GmbH
  • 2. University of Reading
  • 3. NPL

Contributors

Work package leader:

  • 1. FastOpt GmbH
  • 2. NPL
  • 3. University of Reading

Description

The datasets included with this archive supplement the journal article:

Giering, R.; Quast, R.; Mittaz, J.P.D.; Hunt, S.E.; Harris, P.M.; Woolliams, E.R.; Merchant, C.J. A Novel Framework to Harmonise Satellite Data Series for Climate Applications. Remote Sens. 2019, 11, 1002. doi:10.3390/rs11091002.

The archive includes a README file with further explanations.

Files

datasets.zip

Files (5.2 GB)

Name Size
md5:33b8631f296b97f8ba4fe322b7d492ba
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Additional details

Related works

Is supplement to
Journal article: 10.3390/rs11091002 (DOI)

Funding

European Commission
FIDUCEO - Fidelity and Uncertainty in Climate data records from Earth Observations 638822

References

  • Giering, R.; Quast, R.; Mittaz, J.P.D.; Hunt, S.E.; Harris, P.M.; Woolliams, E.R.; Merchant, C.J. A Novel Framework to Harmonise Satellite Data Series for Climate Applications. Remote Sens. 2019, 11, 1002