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Matches in SemOpenAlex for { <https://semopenalex.org/work/W2004201407> ?p ?o ?g. }

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• W2004201407 abstract "The accuracy of conventional land use classification of irrigated agriculture from optical satellite images using maximum likelihood supervised classification was compared with a classification based on multistage maximum likelihood supervised classification. In the multistage maximum likelihood classification series of sub-classifications were carried out which included masking and/or omitting certain crops from the classifications. These series of classifications improved the identification of individual crops/land use types. The output from the optimum sub-classifications were stacked to give an overall crop types/land use map. When the multistage classification was tested against a single stage classification on a large irrigation scheme in Central Asia the final accuracy of crop/land use classification increased from 85% to 94%. Field verification confirmed the accuracy at 93.5%. These results were achieved with a single Landsat 7 Enhanced Thematic Mapper (ETM+) sensor dataset as of 2 August 1999 over an area of 38.5 km2." @default.
• W2004201407 created "2016-06-24" @default.
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• W2004201407 date "2003-01-01" @default.
• W2004201407 modified "2023-10-16" @default.
• W2004201407 title "Improvements in land use mapping for irrigated agriculture from satellite sensor data using a multi-stage maximum likelihood classification" @default.
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• W2004201407 doi "https://doi.org/10.1080/0143116031000139791" @default.
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