Articles | Volume 16, issue 8
Nat. Hazards Earth Syst. Sci., 16, 2021–2030, 2016
https://doi.org/10.5194/nhess-16-2021-2016

Special issue: Geomorphometry: advances in technologies and methods for Earth...

Nat. Hazards Earth Syst. Sci., 16, 2021–2030, 2016
https://doi.org/10.5194/nhess-16-2021-2016

Research article 30 Aug 2016

Research article | 30 Aug 2016

Automatic landslide length and width estimation based on the geometric processing of the bounding box and the geomorphometric analysis of DEMs

Mihai Niculiţǎ

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Revised manuscript accepted for NHESS
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Cited articles

Ardizzone, F., Cardinali, M., Carrara, A., Guzzetti, F., and Reichenbach, P.: Impact of mapping errors on the reliability of landslide hazard maps, Nat. Hazards Earth Syst. Sci., 2, 3–14, https://doi.org/10.5194/nhess-2-3-2002, 2002.
Ardizzone, F., Cardinali, M., Galli, M., Guzzetti, F., and Reichenbach, P.: Identification and mapping of recent rainfall-induced landslides using elevation data collected by airborne Lidar, Nat. Hazards Earth Syst. Sci., 7, 637–650, https://doi.org/10.5194/nhess-7-637-2007, 2007.
Baldo, M., Bicocchi, C., Chiocchini, U., Giordan, D., and Lollino, G.: LIDAR monitoring of mass wasting processes: The Radicofani landslide, Province of Siena, Central Italy, Geomorphology, 105, 193–201, https://doi.org/10.1016/j.geomorph.2008.09.015, 2009.
Barlow, J., Martin, Y., and Franklin, S.: Detecting translational landslide scars using segmentation of Landsat ETM+ and DEM data in the northern Cascade Mountains, British Columbia, Can. J. Remote Sens., 29, 510–517, https://doi.org/10.5589/m03-018, 2003.
Barlow, J., Franklin, S., and Martin, Y.: High spatial resolution satellite imagery, DEM derivatives, and image segmentation for the detection of mass wasting processes, Photogramm. Eng. Rem. S., 72, 687–692, 2006.
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Short summary
During the creation and geomorphometric analysis of a landslide inventory, I stumbled across an issue: while the majority of the landslides are developed along the direction of material flow and have a larger length than width, there are situations where the landslides have a larger width than length. For distinguishing these long and wide landslides, I devised an algorithm that used the geometric processing of the bounding box and the geomorphometric analysis of a digital elevation model.
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