Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping

The objective of this paper was the development of a methodology for the classification of digital aerial images, which, with the aid of object-based classification and the Normalized Difference Vegetation Index (NDVI), can quantify agricultural areas, by using algorithms of expert classification, w...

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Autores principales:	Perea,Alberto Jesús, Meroño,José Emilio, Aguilera,María Jesús
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2009
Materias:	expert classification vegetation index land cover object-based classification
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392009000300013
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spelling	oai:scielo:S0718-583920090003000132018-10-01Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use MappingPerea,Alberto JesúsMeroño,José EmilioAguilera,María Jesús expert classification vegetation index land cover object-based classification The objective of this paper was the development of a methodology for the classification of digital aerial images, which, with the aid of object-based classification and the Normalized Difference Vegetation Index (NDVI), can quantify agricultural areas, by using algorithms of expert classification, with the aim of improving the final results of thematic classifications. QuickBird satellite images and data of 2532 plots in Hinojosa del Duque, Spain, were used to validate the different classifications, obtaining an overall classification accuracy of 91.9% and an excellent Kappa statistic (87.6%) for the algorithm of expert classification.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.69 n.3 20092009-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392009000300013en10.4067/S0718-58392009000300013
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	expert classification vegetation index land cover object-based classification
spellingShingle	expert classification vegetation index land cover object-based classification Perea,Alberto Jesús Meroño,José Emilio Aguilera,María Jesús Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping
description	The objective of this paper was the development of a methodology for the classification of digital aerial images, which, with the aid of object-based classification and the Normalized Difference Vegetation Index (NDVI), can quantify agricultural areas, by using algorithms of expert classification, with the aim of improving the final results of thematic classifications. QuickBird satellite images and data of 2532 plots in Hinojosa del Duque, Spain, were used to validate the different classifications, obtaining an overall classification accuracy of 91.9% and an excellent Kappa statistic (87.6%) for the algorithm of expert classification.
author	Perea,Alberto Jesús Meroño,José Emilio Aguilera,María Jesús
author_facet	Perea,Alberto Jesús Meroño,José Emilio Aguilera,María Jesús
author_sort	Perea,Alberto Jesús
title	Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping
title_short	Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping
title_full	Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping
title_fullStr	Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping
title_full_unstemmed	Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping
title_sort	algorithms of expert classification applied in quickbird satellite images for land use mapping
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2009
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392009000300013
work_keys_str_mv	AT pereaalbertojesus algorithmsofexpertclassificationappliedinquickbirdsatelliteimagesforlandusemapping AT meronojoseemilio algorithmsofexpertclassificationappliedinquickbirdsatelliteimagesforlandusemapping AT aguileramariajesus algorithmsofexpertclassificationappliedinquickbirdsatelliteimagesforlandusemapping
_version_	1714205272704024576

Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping

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