Specific features of NDVI, NDWI and MNDWI as reflected in land cover categories

dc.creatorSzabó, Szilárd
dc.creatorGácsi, Zoltán
dc.creatorBalázs, Boglárka
dc.date2016-09-15
dc.descriptionThe remote sensing techniques provide a great possibility to analyze the environmental processes inlocal or global scale. Landsat images with their 30 m resolution are suitable among others for landcover mapping and change monitoring. In this study three spectral indices (NDVI, NDWI, MNDWI) wereinvestigated from the aspect of land cover types: water body (W); plough land (PL); forest (F); vineyard(V); grassland (GL) and built-up areas (BU) using Landsat-7 ETM+ data. The range, the dissimilaritiesand the correlation of spectral indices were examined. In BU – GL – F categories similar NDVI valueswere calculated, but the other land cover types differed significantly. The water related indices (NDWI,MNDWI) were more effective (especially the MNDWI) to enhance water features, but the values of othercategories ranged from narrower interval. Weak correlation were found among the indices due to thedifferences caused by the water land cover class. Statistically, most land cover types differed from eachother, but in several cases similarities can be found when delineating vegetation with various watercontent. MNDWI was found as the most effective in highlighting water bodies.en-US
dc.formatapplication/pdf
dc.identifierhttps://ojs.lib.unideb.hu/landsenv/article/view/2341
dc.identifier10.21120/LE/10/3-4/13
dc.languageeng
dc.publisherUniversity of Debrecen, Institute of Earth Sciencesen-US
dc.relationhttps://ojs.lib.unideb.hu/landsenv/article/view/2341/2213
dc.sourceLandscape & Environment; Vol. 10 No. 3-4 (2016); 194-202en-US
dc.source1789-7556
dc.source1789-4921
dc.subjectLandsaten-US
dc.subjectspectral indexen-US
dc.subjectland coveren-US
dc.subjectBodrogközen-US
dc.titleSpecific features of NDVI, NDWI and MNDWI as reflected in land cover categoriesen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
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