Land use/land cover mapping: accuracy comparison of classification of various band combinations:(Ejisu Juaben Municipality Area)

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dc.contributor.authorM’bali, Sylvere
dc.date.accessioned2016-03-23T11:28:17Z
dc.date.accessioned2023-04-20T00:18:29Z
dc.date.available2016-03-23T11:28:17Z
dc.date.available2023-04-20T00:18:29Z
dc.date.issuedSeptember, 2015
dc.descriptionA thesis submitted to the School of Graduate Studies, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirements for the award of the Degree of Master of Geomatic Engineering.en_US
dc.description.abstractThis thesis investigates the issue of selection of the optimum band combinations of Landsat 7 ETM+ that yield better Ejisu Juaben Municipality LULC classification when satellite data and training area are available. The classes obtained could help in performing classification using Maximum Likelihood Classification (MLC). The Principal Composite Analysis (PCA) yielded better information about land use and land cover (LULC) classes. Tasselled Cap (TC) was used for image transformation and the Normalized Difference Vegetation Index (NDVI) image was used to characterize green vegetation. All were used alone and in combination with original bands for classification accuracy comparison. The result from PC1-3, B1-4 and B1-5, 7 were respectively found better (Accuracy 90%, kappa 0.86), (Accuracy 88%, kappa 0.84) and (87%, 0.82). The PCA band combination is the best that yield optimum LULC within Ejisu Juaben Municipality.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/8410
dc.language.isoenen_US
dc.subjectLand-cover mappingen_US
dc.subjectTransformationen_US
dc.subjectClassificationen_US
dc.subjectBand combinationsen_US
dc.subjectAccuracy assessmenten_US
dc.titleLand use/land cover mapping: accuracy comparison of classification of various band combinations:(Ejisu Juaben Municipality Area)en_US
dc.typeThesisen_US
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