Articles | Volume 16, issue 8
https://doi.org/10.5194/nhess-16-2021-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-2021-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
Geography Department, Geography and Geology Faculty, Alexandru Ioan
Cuza University of Iaşi, Carol I, 20A, 700505 Iaşi, Romania
Viewed
Total article views: 3,363 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,808 | 1,428 | 127 | 3,363 | 123 | 115 |
- HTML: 1,808
- PDF: 1,428
- XML: 127
- Total: 3,363
- BibTeX: 123
- EndNote: 115
Total article views: 2,779 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Aug 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,466 | 1,193 | 120 | 2,779 | 119 | 111 |
- HTML: 1,466
- PDF: 1,193
- XML: 120
- Total: 2,779
- BibTeX: 119
- EndNote: 111
Total article views: 584 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 342 | 235 | 7 | 584 | 4 | 4 |
- HTML: 342
- PDF: 235
- XML: 7
- Total: 584
- BibTeX: 4
- EndNote: 4
Cited
19 citations as recorded by crossref.
- Automated derivation and spatio-temporal analysis of landslide properties in southern Kyrgyzstan D. Golovko et al. 10.1007/s11069-016-2636-y
- Developing an algorithm for automated geometric analysis and classification of landslides incorporating LiDAR-derived DEM S. Pirasteh & J. Li 10.1007/s12665-018-7583-3
- Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling J. Goetz et al. 10.5194/nhess-21-2543-2021
- Criteria for the optimal selection of remote sensing optical images to map event landslides F. Fiorucci et al. 10.5194/nhess-18-405-2018
- A new algorithm for landslide geometric and deformation analysis supported by digital elevation models S. Pirasteh et al. 10.1007/s12145-019-00437-5
- Automatic generation of landslide profile for complementing landslide inventory L. Li et al. 10.1080/19475705.2020.1766578
- Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
- Comparison of LiDAR- and UAV-derived data for landslide susceptibility mapping using Random Forest algorithm F. França Pereira et al. 10.1007/s10346-022-02001-7
- Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs S. Pirasteh & J. Li 10.1186/s40677-017-0083-z
- An Event-Based Inventory Approach in Landslide Hazard Assessment: The Case of the Skolis Mountain, Northwest Peloponnese, Greece A. Litoseliti et al. 10.3390/ijgi9070457
- Landslide manual and automated inventories, and susceptibility mapping using LIDAR in the forested mountains of Guerrero, Mexico K. Gaidzik et al. 10.1080/19475705.2017.1292560
- Landslide shape, ellipticity and length‐to‐width ratios F. Taylor et al. 10.1002/esp.4479
- Landslide length, width, and aspect ratio: path-dependent measurement and a revisit of nomenclature L. Li et al. 10.1007/s10346-022-01935-2
- A multidisciplinary approach to investigate active and new tectonic effects on landslides spatial distributions: case study in the Pre-Rif Ridges morphostructural unit I. Obda et al. 10.1007/s11069-023-06243-z
- Geomorphometry and Statistical Analyses of Landslides Triggered by the 2015 Mw 7.8 Gorkha Earthquake and the Mw 7.3 Aftershock, Nepal Y. Tian et al. 10.3389/feart.2020.572449
- The Mount Anak Krakatau landslide scenario for tsunami modeling in Banten S. Pribadi et al. 10.1051/e3sconf/202346401010
- Geomorphometry today I. Florinsky 10.35595/2414-9179-2021-2-27-394-448
- Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection A. Mondini et al. 10.3390/rs11070760
- Application of satellite SAR interferometry for the detection and monitoring of landslides along the Tijuana - Ensenada Scenic Highway, Baja California, Mexico O. Sarychikhina et al. 10.1016/j.jsames.2020.103030
19 citations as recorded by crossref.
- Automated derivation and spatio-temporal analysis of landslide properties in southern Kyrgyzstan D. Golovko et al. 10.1007/s11069-016-2636-y
- Developing an algorithm for automated geometric analysis and classification of landslides incorporating LiDAR-derived DEM S. Pirasteh & J. Li 10.1007/s12665-018-7583-3
- Optimizing and validating the Gravitational Process Path model for regional debris-flow runout modelling J. Goetz et al. 10.5194/nhess-21-2543-2021
- Criteria for the optimal selection of remote sensing optical images to map event landslides F. Fiorucci et al. 10.5194/nhess-18-405-2018
- A new algorithm for landslide geometric and deformation analysis supported by digital elevation models S. Pirasteh et al. 10.1007/s12145-019-00437-5
- Automatic generation of landslide profile for complementing landslide inventory L. Li et al. 10.1080/19475705.2020.1766578
- Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
- Comparison of LiDAR- and UAV-derived data for landslide susceptibility mapping using Random Forest algorithm F. França Pereira et al. 10.1007/s10346-022-02001-7
- Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs S. Pirasteh & J. Li 10.1186/s40677-017-0083-z
- An Event-Based Inventory Approach in Landslide Hazard Assessment: The Case of the Skolis Mountain, Northwest Peloponnese, Greece A. Litoseliti et al. 10.3390/ijgi9070457
- Landslide manual and automated inventories, and susceptibility mapping using LIDAR in the forested mountains of Guerrero, Mexico K. Gaidzik et al. 10.1080/19475705.2017.1292560
- Landslide shape, ellipticity and length‐to‐width ratios F. Taylor et al. 10.1002/esp.4479
- Landslide length, width, and aspect ratio: path-dependent measurement and a revisit of nomenclature L. Li et al. 10.1007/s10346-022-01935-2
- A multidisciplinary approach to investigate active and new tectonic effects on landslides spatial distributions: case study in the Pre-Rif Ridges morphostructural unit I. Obda et al. 10.1007/s11069-023-06243-z
- Geomorphometry and Statistical Analyses of Landslides Triggered by the 2015 Mw 7.8 Gorkha Earthquake and the Mw 7.3 Aftershock, Nepal Y. Tian et al. 10.3389/feart.2020.572449
- The Mount Anak Krakatau landslide scenario for tsunami modeling in Banten S. Pribadi et al. 10.1051/e3sconf/202346401010
- Geomorphometry today I. Florinsky 10.35595/2414-9179-2021-2-27-394-448
- Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection A. Mondini et al. 10.3390/rs11070760
- Application of satellite SAR interferometry for the detection and monitoring of landslides along the Tijuana - Ensenada Scenic Highway, Baja California, Mexico O. Sarychikhina et al. 10.1016/j.jsames.2020.103030
Saved (preprint)
Latest update: 20 Nov 2024
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.
During the creation and geomorphometric analysis of a landslide inventory, I stumbled across an...
Altmetrics
Final-revised paper
Preprint