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| Titel |
Landslide mapping with multi-scale object-based image analysis – a case study in the Baichi watershed, Taiwan |
| VerfasserIn |
T. Lahousse, K. T. Chang, Y. H. Lin |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 11, no. 10 ; Nr. 11, no. 10 (2011-10-10), S.2715-2726 |
| Datensatznummer |
250009726
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| Publikation (Nr.) |
 copernicus.org/nhess-11-2715-2011.pdf |
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| Zusammenfassung |
| We developed a multi-scale OBIA (object-based image analysis) landslide
detection technique to map shallow landslides in the Baichi watershed,
Taiwan, after the 2004 Typhoon Aere event. Our semi-automated detection
method selected multiple scales through landslide size statistics analysis
for successive classification rounds. The detection performance achieved a
modified success rate (MSR) of 86.5% with the training dataset and 86%
with the validation dataset. This performance level was due to the
multi-scale aspect of our methodology, as the MSR for single scale
classification was substantially lower, even after spectral difference
segmentation, with a maximum of 74%. Our multi-scale technique was
capable of detecting landslides of varying sizes, including very small
landslides, up to 95 m2. The method presented certain limitations: the
thresholds we established for classification were specific to the study
area, to the landslide type in the study area, and to the spectral
characteristics of the satellite image. Because updating site-specific and
image-specific classification thresholds is easy with OBIA software, our
multi-scale technique is expected to be useful for mapping shallow
landslides at watershed level. |
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