Flood mapping through principal component analysis of multitemporal satellite imagery considering the alteration of water spectral properties due to turbidity conditions

We propose a methodology for flood mapping by remote sensing considering the alteration of the spectral response of water due to turbidity conditions using principal component analysis (PCA) of multitemporal satellite imagery limited to the visible and the near IR region of the electromagnetic spect...

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Bibliographic Details
Main Authors: David Gómez-Palacios, Marco A. Torres, Eduardo Reinoso
Format: Article
Language:English
Published: Taylor & Francis Group 2017-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Online Access:http://dx.doi.org/10.1080/19475705.2016.1250115