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An Inventory of Large-Scale Landslides in Baoji City, Shaanxi Province, China
| Content Provider | MDPI |
|---|---|
| Author | Li, Lei Xu, Chong Yang, Zhiqiang Zhang, Zhongjian Lv, Mingsheng |
| Copyright Year | 2022 |
| Description | Landslides are a typical geological hazard that endangers people’s lives and property in the Loess Plateau. The destructiveness of large-scale landslides, in particular, is incalculable. For example, traffic disruptions, river blockages, and house collapses may all result from landslides. Thus, it is urgent to compile a complete inventory of landslides in a specific region. The investigation object of this study is Baoji City, Shaanxi Province, China. Using the multi-temporal high-resolution remote sensing images from Google Earth, we preliminarily completed the cataloging of large-scale (area > 5000 $m^{2}$) landslides in the study area through visual interpretation. The inventory was subsequently compared with the existing literature and hazard records for improvement and supplement. We identified 3422 landslides with a total area of 360.7 $km^{2}$ and an average area of 105,400 $m^{2}$ for each individual landslide. The largest landslide had an area of 1.71 $km^{2}$, while the smallest one was 6042 $m^{2}$. In previous studies, we analyzed these data without describing the data sources in detail. We now provide a shared dataset of each landslide in shp format, containing geographic location, boundary information, etc. The dataset is significantly useful for understanding the distribution characteristics of large-scale landslides in this region. Moreover, it can serve as basic data for the study of paleolandslide resurrection. |
| Starting Page | 114 |
| e-ISSN | 23065729 |
| DOI | 10.3390/data7080114 |
| Journal | Data |
| Issue Number | 8 |
| Volume Number | 7 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-08-15 |
| Access Restriction | Open |
| Subject Keyword | Data Remote Sensing Loess Plateau Baoji City Large-scale Landslides (area > 5000 M2) Google Earth Visual Interpretation |
| Content Type | Text |
| Resource Type | Article |
