In this paper are described some enhancements for a straightforward method recently developed by the authors for evaluating post flood damages using Landsat TM/ETM+ data integrated with Digital Terrain Models (DTMs) and based on the Principal Components Transform (PCT). In particular, the main updates refer to the computational scheme in deriving the flood extension map with the use of the Minimum Noise Fraction (MNF) transformation and in estimating the peak water height and the volumes involved through the use of spline interpolators. Compared with the PCT-based method, the enhanced technique results in improved mapping accuracy

Multispectral transform and Spline Interpolation for Mapping Flood Damages

GIANINETTO, MARCO;VILLA, PAOLO
2006-01-01

Abstract

In this paper are described some enhancements for a straightforward method recently developed by the authors for evaluating post flood damages using Landsat TM/ETM+ data integrated with Digital Terrain Models (DTMs) and based on the Principal Components Transform (PCT). In particular, the main updates refer to the computational scheme in deriving the flood extension map with the use of the Minimum Noise Fraction (MNF) transformation and in estimating the peak water height and the volumes involved through the use of spline interpolators. Compared with the PCT-based method, the enhanced technique results in improved mapping accuracy
2006
2006 IEEE International Geoscience And Remote Sensing Symposium & 27th Canadian Symposium on Remote Sensing (IGARSS 2006)
978-0-7803-9509-1
Minimum Noise Fraction (MNF) Transform; Spline Interpolation; Remote Sensing; Flood Damages
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/553562
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