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

X. Pons; E. Sevillano; G. Moré; P. Serra; D. Cornford; M. Ninyerola

doi:10.4995/raet.2014.3059

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

Translated title of the contribution: Spatial distribution of the uncertainty in land cover maps obtained from remote sensing

X. Pons, E. Sevillano, G. Moré, P. Serra, D. Cornford, M. Ninyerola

Computer Science Research Group

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Translated title of the contribution	Spatial distribution of the uncertainty in land cover maps obtained from remote sensing
Original language	Spanish
Pages (from-to)	1-10
Number of pages	10
Journal	Revista de teledeteccion
Issue number	42
DOIs	https://doi.org/10.4995/raet.2014.3059
Publication status	Published - Dec 2014

Bibliographical note

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)

Keywords

hybrid classification
Landsat
multivariate linear regression
multivariate logistic regression
spatial distribution of uncertainty and error

Access to Document

10.4995/raet.2014.3059

Distribución espacial de la incertidumbre en mapas de cubiertas obtenidos mediante teledetección
Esta revista se publica bajo una Licencia Creative Commons Atribución-NoComercial-SinDerivar 4.0 Internacional
Final published version, 2.28 MBLicence: CC BY-NC-ND 3.0

http://polipapers.upv.es/index.php/raet/article/view/3059

Cite this

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abstract = "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.",

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AU - Cornford, D.

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

Abstract

Bibliographical note

Keywords

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