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001-es BibID:	BIBFORM078729
035-os BibID:	(WoS)000424760700006 (Scopus)85040974796
Első szerző:	Balázs Boglárka (geográfus)
Cím:	Extracting water-related features using reflectance data and principal component analysis of Landsat images / Boglárka Balázs, Tibor Bíró, Gareth Dyke, Sudhir Kumar Singh, Szilárd Szabó
Dátum:	2018
ISSN:	0262-6667
Megjegyzések:	This study aimed to map water features using a Landsat image rather than traditional land cover. We involved the original bands, spectral indices and principal components (PCs) of a principal component analysis (PCA) as input data, and performed random forest (RF) and support vector machine (SVM) classification with water, saturated soil and non-water categories. The aim was to compare the efficiency of the results based on various input data. Original bands provided 93% overall accuracy (OA) and bands 4?5?7 were the most informative in this analysis. Except for MNDWI (modified normalized differenced water index, with 98% OA), the performance of all water indices was between 60 and 70% (OA). The PCA-based approach conducted on the original bands resulted in the most accurate identification of all classes (with only 1% error in the case of water bodies). We therefore show that both water bodies and saturated soils can be identified successfully using this approach.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk multivariate analysis principal component analysis remote sensing Landsat classification uncertainty analysis spectral index
Megjelenés:	Hydrological Sciences Journal. - 63 : 2 (2018), p. 269-284. -
További szerzők:	Bíró Tibor Dyke, Gareth J. Singh, Sudhir Kumar (1970-) (geográfus) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	TÁMOP 4.2.4.A/2-11-1-2012-0001 TÁMOP SROP-4.2.2.B-15/1/KONV-2015-0001 egyéb NKFIH 108755 egyéb RH/751/2015 egyéb
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