Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern Turkey
To understand the factors that make certain areas especially prone to landslides, statistical approaches are typically used. The interpretation of statistical results in areas characterised by complex geological and geomorphological patterns can be challenging, and this makes the understanding of th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/6/1321 |
| _version_ | 1797442768449044480 |
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| author | Marco Loche Luigi Lombardo Tolga Gorum Hakan Tanyas Gianvito Scaringi |
| author_facet | Marco Loche Luigi Lombardo Tolga Gorum Hakan Tanyas Gianvito Scaringi |
| author_sort | Marco Loche |
| collection | DOAJ |
| description | To understand the factors that make certain areas especially prone to landslides, statistical approaches are typically used. The interpretation of statistical results in areas characterised by complex geological and geomorphological patterns can be challenging, and this makes the understanding of the causes of landslides more difficult. In some cases, landslide inventories report information on the state of activity of landslides, adding a temporal dimension that can be beneficial in the analysis. Here, we used an inventory covering a portion of Northwestern Turkey to demonstrate that active and relict landslides (that is, landslides that occurred in the past and are now stabilised) could be related to different triggers. To do so, we built two landslide susceptibility models and observed that the spatial patterns of susceptibility were completely distinct. We found that these patterns were correlated with specific controlling factors, suggesting that active landslides are regulated by current rainfalls while relict landslides may represent a signature of past earthquakes on the landscape. The importance of this result resides in that we obtained it with a purely data-driven approach, and this was possible because the active/relict landslide classification in the inventory was accurate. |
| first_indexed | 2024-03-09T12:46:46Z |
| format | Article |
| id | doaj.art-5bab4331c5f24fefac6aa8d792a94ad1 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T12:46:46Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-5bab4331c5f24fefac6aa8d792a94ad12023-11-30T22:11:04ZengMDPI AGRemote Sensing2072-42922022-03-01146132110.3390/rs14061321Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern TurkeyMarco Loche0Luigi Lombardo1Tolga Gorum2Hakan Tanyas3Gianvito Scaringi4Institute of Hydrogeology, Engineering Geology and Applied Geophysics, Faculty of Science, Charles University, 12843 Prague, Czech RepublicFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 Enschede, The NetherlandsEurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul 34469, TurkeyFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 Enschede, The NetherlandsInstitute of Hydrogeology, Engineering Geology and Applied Geophysics, Faculty of Science, Charles University, 12843 Prague, Czech RepublicTo understand the factors that make certain areas especially prone to landslides, statistical approaches are typically used. The interpretation of statistical results in areas characterised by complex geological and geomorphological patterns can be challenging, and this makes the understanding of the causes of landslides more difficult. In some cases, landslide inventories report information on the state of activity of landslides, adding a temporal dimension that can be beneficial in the analysis. Here, we used an inventory covering a portion of Northwestern Turkey to demonstrate that active and relict landslides (that is, landslides that occurred in the past and are now stabilised) could be related to different triggers. To do so, we built two landslide susceptibility models and observed that the spatial patterns of susceptibility were completely distinct. We found that these patterns were correlated with specific controlling factors, suggesting that active landslides are regulated by current rainfalls while relict landslides may represent a signature of past earthquakes on the landscape. The importance of this result resides in that we obtained it with a purely data-driven approach, and this was possible because the active/relict landslide classification in the inventory was accurate.https://www.mdpi.com/2072-4292/14/6/1321landslide susceptibilitylandslide inventorycontrolling factorslope unitgeneralised additive model |
| spellingShingle | Marco Loche Luigi Lombardo Tolga Gorum Hakan Tanyas Gianvito Scaringi Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern Turkey Remote Sensing landslide susceptibility landslide inventory controlling factor slope unit generalised additive model |
| title | Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern Turkey |
| title_full | Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern Turkey |
| title_fullStr | Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern Turkey |
| title_full_unstemmed | Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern Turkey |
| title_short | Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern Turkey |
| title_sort | distinct susceptibility patterns of active and relict landslides reveal distinct triggers a case in northwestern turkey |
| topic | landslide susceptibility landslide inventory controlling factor slope unit generalised additive model |
| url | https://www.mdpi.com/2072-4292/14/6/1321 |
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