| Registro completo |
| Provedor de dados: |
Chilean J. Agric. Res.
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| País: |
Chile
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| Título: |
Algorithms of Expert Classification Applied in Quickbird Satellite Images for Land Use Mapping
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| Autores: |
Perea,Alberto Jesús
Meroño,José Emilio
Aguilera,María Jesús
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| Data: |
2009-09-01
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| Ano: |
2009
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| Palavras-chave: |
Expert classification
Vegetation index
Land cover
Object-based classification
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| Resumo: |
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.
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| Tipo: |
Journal article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392009000300013
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| Editor: |
Instituto de Investigaciones Agropecuarias, INIA
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| Formato: |
text/html
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| Fonte: |
Chilean journal of agricultural research v.69 n.3 2009
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