Monsoon-Triggered Landslides in Nepal Timed with Sentinel-1

Katy Burrows and the Centre National de la Recherche Scientifique provide a dataset of landslides triggered during the 2015, 2017, 2018, and 2019 monsoon seasons in Nepal. It includes geospatial polygon files and tabular characteristics, with landslide timings constrained by Sentinel-1 satellite time series. The data supplements a paper in review and builds upon prior mapping work by Jones et al. (2021).

Use Cases

• Analyzing the temporal clustering of landslides based on Sentinel-1-derived timings.
• Modeling relationships between landslide characteristics (e.g., scar area) and topographic factors derived from SRTM-30m DEM.
• Validating and extending regional landslide inventories by comparing pre- and post-monsoon Landsat-8 imagery.
• Studying inter-annual variability of monsoon-triggered landslide activity across four years.

Strengths

• Includes data for four distinct monsoon years (2015, 2017, 2018, 2019), enabling temporal analysis.
• Landslide timings are constrained using Sentinel-1 time series, a specific methodological strength cited from Burrows et al. (2022).
• Cross-platform presence on PapersWithCode signals recognized utility for the research community.

Limitations

• Key metadata such as row count, dataset size, and specific column names are not provided across all sources.
• The dataset references external shapefiles from the National Geoscience Data Centre for main 2015-2018 polygons, requiring users to merge data from multiple sources.
• The 'last updated' field is consistently listed as unknown or None, limiting assessment of data freshness.

Provenance

Source

Katy Burrows, Centre National de la Recherche Scientifique.

Collection Method

Landslide polygons mapped by comparing pre- and post-monsoon Landsat-8 images; timings constrained by Sentinel-1 time series; characteristics derived from SRTM-30m DEM and published formulae.

Time Range

2015, 2017, 2018, 2019 monsoon seasons.

Geography

Nepal.