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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Monsoon triggered landslides in Nepal timed with Sentinel-1 for 2015, 2017, 2018 and 2019

Authors: Burrows, Katy; Marc, Odin; Andermann, Christoff;

Monsoon triggered landslides in Nepal timed with Sentinel-1 for 2015, 2017, 2018 and 2019

Abstract

This is a dataset of landslides during the 2015, 2017, 2018 and 2019 monsoons, intended as a supplement to a paper currently in review. The dataset includes .shp files of landslide polygons and .csv files of landslide characteristics including timings constrained by Sentinel-1 time series. Landslide polygons were mapped by comparing pre- and post-monsoon Landsat-8 images. Landslide timings were constrained by Sentinel-1 time series using the methods described in Burrows et al. (2022) NHESS. Other landslide characteristics (e.g. scar area) were derived based on formulae presented in Marc et al. (2018) ESURF or derived from the SRTM-30m DEM in QGIS. Landslide polygons corresponding to the timed landslide .csv files for 2019 are included here and were mapped as part of this study. In 2015, 2017 and 2018, the .csv files labelled "west-extension" correspond to shapefiles of polygons included here and mapped as part of this study. For the main 2015, 2017 and 2018 datasets, we only present the Sentinel-1 timing results. Landslide polygons were mapped as part of the study by Jones et al. (2021) Nature Communications. The authors of that study made their landslide polygons available as shapefile format on the National Geoscience Data Centre (ID: 166966) and we direct people towards that data at the following link: https://webapps.bgs.ac.uk/services/ngdc/accession/index.html?simpleText=landslide%20nepal

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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