A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories

A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories

Geoinformation derived from Earth observation (EO) plays a key role for detecting, analyzing and monitoring landslides to assist hazard and risk analysis. Within the framework of the EC-GMES-FP7 project SAFER (Services and Applications For Emergency Response) a semi-automated object-based approach f...

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Bibliographic Details
Main Authors: Stefan Lang, Francesco Antolini, Nicola Casagli, Francesca Cigna, Daniel Hölbling, Petra Füreder
Format: Article
Language:English
Published: MDPI AG 2012-05-01
Series:Remote Sensing
Subjects:
object-based image analysis (OBIA)
landslide mapping
persistent scatterers (PS)
radar-interpretation
validation
Online Access:http://www.mdpi.com/2072-4292/4/5/1310

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