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Classification of Tundra Vegetation in the Krkonoše Mts. National Park Using APEX, AISA Dual and Sentinel-2A Data

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dc.abstract.enThe aim of this study was to evaluate and compare suitability of aerial hyperspectral data (AISA Dual and APEX sensors) and Sentinel-2A data for classification of tundra vegetation cover in the Krkonoše Mts. National Park. We compared classification results (accuracy, maps) of pixel-based (Maximum Likelihood, Suport Vector Machine and Neural Net) and object-based approaches. The best classification results (overall accuracy 84.3%, Kappa coefficient = 0.81) were achieved for AISA Dual data using per-pixel SVM classifier for 40 PCA bands. The best classification results of APEX though were only 1.7 percentage points lower. To get comparable results for Sentinel-2A classification legend had to be simplified. With the simplified legend the accuracy using MLC classifier reached 77.7%.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorČervená, Lucie
dc.contributor.authorAlbrechtová, Jana
dc.contributor.authorBřezina, Stanislav
dc.contributor.authorJakešová, Lucie
dc.contributor.authorSuchá, Renáta
dc.contributor.authorKupková, Lucie
dc.contributor.authorZagajewski, Bogdan
dc.date.accessioned2024-01-24T19:25:05Z
dc.date.available2024-01-24T19:25:05Z
dc.date.issued2017
dc.description.financeNie dotyczy
dc.description.number1
dc.description.volume50
dc.identifier.doi10.1080/22797254.2017.1274573
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/103121
dc.identifier.weblinkhttps://www.tandfonline.com/doi/full/10.1080/22797254.2017.1274573
dc.languageeng
dc.pbn.affiliationsocio-economic geography and spatial management
dc.relation.ispartofEuropean Journal of Remote Sensing
dc.relation.pages29-46
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.titleClassification of Tundra Vegetation in the Krkonoše Mts. National Park Using APEX, AISA Dual and Sentinel-2A Data
dc.typeJournalArticle
dspace.entity.typePublication