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...

Full description

Bibliographic Details
Main Authors: Brideau, Marc-Andre, Lipovsky, Panya, Brayshaw, Drew
Format: Dataset
Language:English
Published: Zenodo 2022
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.7478546
https://zenodo.org/record/7478546
id ftdatacite:10.5281/zenodo.7478546
record_format openpolar
spelling 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