Distribución espacial de la incertidumbre en mapas de cubiertas obtenidos mediante teledetección


When combining remote sensing imagery with statistical classifiers to obtain categorical thematic maps it is not usual to provide data about the spatial distribution of the error and uncertainty of the resulting maps. This paper describes, in the context of GeoViQua FP7 project, feasible approaches for methods based on several steps such as hybrid classifiers. Both for “per pixel” and “per polygon” strategies, the proposal is based on the use of the available ground truth, which is used to properly model the spatial distribution of the errors. Results allow mapping the classification success with a very high level of reliability (R2>0,94), providing users a sound knowledge of the accuracy at every area of the map.

Publication DOI: https://doi.org/10.4995/raet.2014.3059
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: Esta revista se publica bajo una Licencia Creative Commons Atribución-NoComercial-SinDerivar 4.0 Internacional Funding: Comisión Europea “QUAlity aware VIsualisation for the Global Earth Observation system of systems (GeoViQua)”, ref. FP7 ENV.2010,4.1,2-2 265178, y del proyecto financiado por el Ministerio de Economía y Competitividad del Gobierno de España “Análisis espaciotemporal de las cubiertas del suelo y del estrés de la vegetación en la P. Ibérica a la luz de medio Siglo (1975-2025) de dinámica climática y sus anomalías (DinaCliVe)”, ref. CGL2012-33927; y ICREA Academia Excellence in Research grant (2011-2015)
Uncontrolled Keywords: hybrid classification,Landsat,multivariate linear regression,multivariate logistic regression,spatial distribution of uncertainty and error,Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Full Text Link: http://polipape ... ticle/view/3059
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2014-12
Authors: Pons, X.
Sevillano, E.
Moré, G.
Serra, P.
Cornford, D. (ORCID Profile 0000-0001-8787-6758)
Ninyerola, M.


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