Title | ||
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A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories |
Abstract | ||
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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 for landslide detection and classification has been developed. The method was applied to a case study in North-Western Italy using SPOT-5 imagery and a digital elevation model (DEM), including its derivatives slope, aspect, curvature and plan curvature. For the classification in the object-based environment spectral, spatial and morphological properties as well as context information were used. In a first step, landslides were classified on a coarse segmentation level to separate them from other features with similar spectral characteristics. Thereafter, the classification was refined on a finer segmentation level, where two categories of mass movements were differentiated: flow-like landslides and other landslide types. In total, an area of 3.77 km(2) was detected as landslide-affected area, 1.68 km(2) were classified as flow-like landslides and 2.09 km(2) as other landslide types. The outcomes were compared to and validated by pre-existing landslide inventory data (IFFI and PAI) and an interpretation of PSI (Persistent Scatterer Interferometry) measures derived from ERS1/2, ENVISAT ASAR and RADARSAT-1 data. The spatial overlap of the detected landslides and existing landslide inventories revealed 44.8% (IFFI) and 50.4% (PAI), respectively. About 32% of the polygons identified through OBIA are covered by persistent scatterers data. |
Year | DOI | Venue |
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2012 | 10.3390/rs4051310 | REMOTE SENSING |
Keywords | Field | DocType |
object-based image analysis (OBIA),landslide mapping,persistent scatterers (PS),radar-interpretation,validation | Geographic information system,Polygon,Segmentation,Remote sensing,Interferometry,Digital elevation model,Earth observation,Landslide,Geology | Journal |
Volume | Issue | ISSN |
4 | 5 | 2072-4292 |
Citations | PageRank | References |
14 | 1.54 | 9 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
daniel holbling | 1 | 24 | 3.01 |
petra fureder | 2 | 18 | 2.61 |
francesco antolini | 3 | 14 | 1.54 |
Francesca Cigna | 4 | 53 | 13.05 |
Nicola Casagli | 5 | 178 | 25.25 |
Stefan Lang | 6 | 29 | 7.80 |