Automatic detection of landslide features with remote sensing techniques: Application to Madeira Island

Author

Lira, C. ; Lousada, M. ; Falcdo, A.P. ; Goncalves, A. ; Heleno, S. ; Matias, M. ; de Soma, A.J. ; Pereira, M.J. ; Pina, P. ; Oliveira, R. ; Almeida, A.B.

Author_Institution

CERENA, Tech. Univ. of Lisbon, Lisbon, Portugal

fYear

2011

fDate

24-29 July 2011

Firstpage

1997

Lastpage

2000

Abstract

The extreme rainfall event of February 20 ,2010 triggered a series of landslides and alluvium episodes with extensive life and material damages. The use of automatic detection of the landslides over satellite imagery allowed the identification and characterization of the affected areas, the mapping of the landslide features and the calculation of the displaced sediment volume. The study shows that the occurred landslides were shallow, being the basins of Ribeira Brava the most affected areas, with almost two thirds of the total identified landslide polygons.

Keywords

disasters; geomorphology; geophysical signal processing; remote sensing; sediments; signal detection; AD 2010 02 20; Madeira Island; alluvium episodes; automatic landslide feature detection; displaced sediment volume calculation; extreme rainfall event; landslide feature mapping; remote sensing techniques; satellite imagery; Feature extraction; Materials; Rain; Remote sensing; Sediments; Spatial resolution; Terrain factors; automatic recognition; landslides; remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049520

Filename

6049520