Tracking of uncertainty when aggregating from fine to coarse spatial resolution

Brennan, J.; Lewis, P.; Gómez-Dans, J.; Chernetskiy, M.; Chuvieco, E.; Lizundia, J.; Campagnolo, M.; Pereira, J.; Oom, D.

DSpace CRIS

DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)

Please use this identifier to cite or link to this item: https://hdl.handle.net/10316.2/44640

DC Field	Value	Language
dc.contributor.author	Brennan, J.
dc.contributor.author	Lewis, P.
dc.contributor.author	Gómez-Dans, J.
dc.contributor.author	Chernetskiy, M.
dc.contributor.author	Chuvieco, E.
dc.contributor.author	Lizundia, J.
dc.contributor.author	Campagnolo, M.
dc.contributor.author	Pereira, J.
dc.contributor.author	Oom, D.
dc.date.accessioned	2018-11-10T19:13:14Z
dc.date.accessioned	2020-09-05T02:04:32Z	-
dc.date.available	2018-11-10T19:13:14Z
dc.date.available	2020-09-05T02:04:32Z	-
dc.date.issued	2018	-
dc.identifier.isbn	978-989-26-16-506 (PDF)
dc.identifier.uri	https://hdl.handle.net/10316.2/44640	-
dc.description.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.	eng
dc.language.iso	eng	-
dc.publisher	Imprensa da Universidade de Coimbra	por
dc.relation.ispartof	http://hdl.handle.net/10316.2/44517	por
dc.rights	open access	-
dc.subject	Burnt Area	eng
dc.subject	Uncertainty	eng
dc.subject	Aggregaion	eng
dc.subject	Fire CCI	eng
dc.title	Tracking of uncertainty when aggregating from fine to coarse spatial resolution	por
dc.type	bookPart	por
uc.publication.firstPage	1110	-
uc.publication.lastPage	1115	-
uc.publication.location	Coimbra	por
dc.identifier.doi	10.14195/978-989-26-16-506_123	-
uc.publication.section	Chapter 5 - Decision Support Systems and Tools	por
uc.publication.digCollection	PB	por
uc.publication.orderno	123	-
uc.publication.area	Ciências da Engenharia e Tecnologias	por
uc.publication.bookTitle	Advances in forest fire research 2018	-
uc.publication.manifest	https://dl.uc.pt/json/iiif/10316.2/44640/200992/manifest?manifest=/json/iiif/10316.2/44640/200992/manifest	-
uc.publication.thumbnail	https://dl.uc.pt/retrieve/11016920	-
uc.publication.parentItemId	55072	-
uc.itemId	68205	-
item.fulltext	With Fulltext	-
item.grantfulltext	open	-
Appears in Collections:	Advances in forest fire research 2018

Files in This Item:

File	Description	Size	Format
tracking_of_uncertainty_when_aggregating.pdf		946.03 kB	Adobe PDF	See online View/Open

Show simple item record