Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing, China

The extreme meteorological events caused by climate change have increasingly caused serious clustered landslides. A systematic and timely inventory of triggered landslides is a prerequisite for quantifying and evaluating the impact of extreme meteorological events. In addition, a landslide inventory can provide basic data for any subsequent analysis of the event or be used innovatively in landslide risk analysis. The Rainfall-induced Landslides in Beijing (RLBJ) inventory presented here contains data on 15,383 rainfall-induced shallow landslides triggered by a single extreme precipitation event in July 2023 in an area of ~3,250 km<sup>2</sup> in western mountainous areas of Beijing, China. High-resolution satellite images before and after this rainstorm event were used to visually analyze the landslides. All landslides were reported as vectorized points and polygon features and classified according to their motion forms. This inventory is now freely available for the benefit of international geohazard researchers.

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Publication Details

Journal
Scientific Data
Published
2024-10-03
DOI
https://doi.org/10.1038/s41597-024-03901-0
Citations
19
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
13.49

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article

Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing, China

Hao Ma, Fawu Wang
19 citations
Scientific Data
Landslides and related hazards
13.49
article

Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing, China

Hao Ma, Fawu Wang
article en
19 citations

Abstract

The extreme meteorological events caused by climate change have increasingly caused serious clustered landslides. A systematic and timely inventory of triggered landslides is a prerequisite for quantifying and evaluating the impact of extreme meteorological events. In addition, a landslide inventory can provide basic data for any subsequent analysis of the event or be used innovatively in landslide risk analysis. The Rainfall-induced Landslides in Beijing (RLBJ) inventory presented here contains data on 15,383 rainfall-induced shallow landslides triggered by a single extreme precipitation event in July 2023 in an area of ~3,250 km<sup>2</sup> in western mountainous areas of Beijing, China. High-resolution satellite images before and after this rainstorm event were used to visually analyze the landslides. All landslides were reported as vectorized points and polygon features and classified according to their motion forms. This inventory is now freely available for the benefit of international geohazard researchers.

Scientific DataVol. 11(1)
Tongji University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 1%
Landslides and related hazards
13.49
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Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing, China — Hao Ma, Fawu Wang · Scientific Data (2024) | TGRS Research Map | TGRS