Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316.2/44640
Title: | Tracking of uncertainty when aggregating from fine to coarse spatial resolution | Authors: | Brennan, J. Lewis, P. Gómez-Dans, J. Chernetskiy, M. Chuvieco, E. Lizundia, J. Campagnolo, M. Pereira, J. Oom, D. |
Keywords: | Burnt Area;Uncertainty;Aggregaion;Fire CCI | Issue Date: | 2018 | Publisher: | Imprensa da Universidade de Coimbra | Journal: | http://hdl.handle.net/10316.2/44517 | Abstract: | Uncertainty characterisation and validation are critical phases to generate any Essential Climate Variable (ECV), and therefore both have been included as key deliverables of the ESA CCI programme (Rainer et al 2013). All products generated by the CCI are required to have an associated per pixel uncertainty characterisation. This paper describes both the uncertainty characterisation framework and the related uncertainty validation exercise of the Fire-CCI project. | URI: | https://hdl.handle.net/10316.2/44640 | ISBN: | 978-989-26-16-506 (PDF) | DOI: | 10.14195/978-989-26-16-506_123 | Rights: | open access |
Appears in Collections: | Advances in forest fire research 2018 |
Files in This Item:
File | Description | Size | Format | |
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tracking_of_uncertainty_when_aggregating.pdf | 946.03 kB | Adobe PDF |
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