Preliminary Canadian Landslide Database ...
This preliminary landslide database lists 3000 features with assigned landslide and material type (surficial vs. rock). Where known, the date of occurrence, trigger, and reference are provided. The landslides have mostly been identified using Google Earth and based on publicly available lidar. Previ...
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Online Access: | https://dx.doi.org/10.5281/zenodo.7478546 https://zenodo.org/record/7478546 |
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ftdatacite:10.5281/zenodo.7478546 2024-04-28T08:35:56+00:00 Preliminary Canadian Landslide Database ... Brideau, Marc-Andre Lipovsky, Panya Brayshaw, Drew 2022 https://dx.doi.org/10.5281/zenodo.7478546 https://zenodo.org/record/7478546 en eng Zenodo https://dx.doi.org/10.5281/zenodo.7089351 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess Geohazard Mass movement dataset Dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.747854610.5281/zenodo.7089351 2024-04-02T10:42:16Z This preliminary landslide database lists 3000 features with assigned landslide and material type (surficial vs. rock). Where known, the date of occurrence, trigger, and reference are provided. The landslides have mostly been identified using Google Earth and based on publicly available lidar. Previously published landslide database have also been incorporated and referenced. Landslide type attribution should be considered preliminary. Version 2.0 represents contributions from two co-authors and the addition of approximately 600 landslide features over version 1.0. This version also makes use of active layer detachment and retrogressive thaw slump as permafrost landslide types. Data is provided as .csv file which can be imported in GIS software and as .kmz file for visualization in Goggle Earth. ... Dataset permafrost DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Geohazard Mass movement |
spellingShingle |
Geohazard Mass movement Brideau, Marc-Andre Lipovsky, Panya Brayshaw, Drew Preliminary Canadian Landslide Database ... |
topic_facet |
Geohazard Mass movement |
description |
This preliminary landslide database lists 3000 features with assigned landslide and material type (surficial vs. rock). Where known, the date of occurrence, trigger, and reference are provided. The landslides have mostly been identified using Google Earth and based on publicly available lidar. Previously published landslide database have also been incorporated and referenced. Landslide type attribution should be considered preliminary. Version 2.0 represents contributions from two co-authors and the addition of approximately 600 landslide features over version 1.0. This version also makes use of active layer detachment and retrogressive thaw slump as permafrost landslide types. Data is provided as .csv file which can be imported in GIS software and as .kmz file for visualization in Goggle Earth. ... |
format |
Dataset |
author |
Brideau, Marc-Andre Lipovsky, Panya Brayshaw, Drew |
author_facet |
Brideau, Marc-Andre Lipovsky, Panya Brayshaw, Drew |
author_sort |
Brideau, Marc-Andre |
title |
Preliminary Canadian Landslide Database ... |
title_short |
Preliminary Canadian Landslide Database ... |
title_full |
Preliminary Canadian Landslide Database ... |
title_fullStr |
Preliminary Canadian Landslide Database ... |
title_full_unstemmed |
Preliminary Canadian Landslide Database ... |
title_sort |
preliminary canadian landslide database ... |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://dx.doi.org/10.5281/zenodo.7478546 https://zenodo.org/record/7478546 |
genre |
permafrost |
genre_facet |
permafrost |
op_relation |
https://dx.doi.org/10.5281/zenodo.7089351 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.747854610.5281/zenodo.7089351 |
_version_ |
1797567875782803456 |