Inventory, Distribution and Geometric Characteristics of Landslides in Baoshan City, Yunnan Province, China

Abstract

Inventorying landslides in mountainous areas is of great importance for prevention of geologic hazards. This study aimed to establish a detailed landslide inventory of Baoshan City, Yunnan Province, China, based on a large set of high-resolution satellite images from Google Earth. The landslides of this region were divided into two groups, i.e., recent landslides and old landslides. The spatial distribution and geometric characteristics of the two kinds of landslides were analyzed, respectively. Results show that 2427 landslides are present in the study area, including 2144 recent landslides and 283 old landslides with a total area of 7.2 km2 and 97.6 km2, respectively. The recent landslides occurred primarily at steep slopes with higher elevation, while old landslides took place at gentle terrains. For the slope position, most landslides, whether old or recent, cluster near ridges. The lower boundary of the recent landslides is far away from the valley, while the accumulation area of the old landslide is closer to the valley. The H/L (height to length) ratios are basically the same for all landslides, ranging from 0.2 to 0.5. Old landslides have larger mobility, as their travel distances are longer than recent landslides at the same height. The results would be helpful for further understanding the development and spatial distribution of the landslides in Southwest China, and also provide essential support for the subsequent landslide susceptibility mapping and geologic hazard assessment in this area.

The landslide traces inventory in the transition zone between the Qinghai-Tibet Plateau and the Loess Plateau: a case study of Jianzha County, China

“…However, its accuracy may be not very good (Fayne et al, 2019;Zhang et al, 2020;Piralilou et al, 2021;Vecchiotti et al, 2021;Milledge et al, 2022). Combining the strengths of both approaches, the human-computer interaction visual interpretation of satellite images has gradually become an important method for constructing landslide inventory (Xu et al, 2015;Shao et al, 2020;Li et al, 2021;Cui et al, 2022a). This approach requires interpreters to have certain professional background knowledge.…”

Detailed Inventory and Spatial Distribution Analysis of Rainfall-Induced Landslides in Jiexi County, Guangdong Province, China in August 2018

“…As indicated in Figure 15, vegetation in lower elevation areas recovers rapidly, and due to the long time elapsed since the landslide events, the morphology of landslides may have undergone significant changes [71]. Additionally, there may be other triggering events for landslides, which could introduce considerable error in field investigation results.…”

“…Sustainability 2023, 15, x FOR PEER REVIEW 14 of 18 have undergone significant changes [71]. Additionally, there may be other triggering events for landslides, which could introduce considerable error in field investigation results.…”

The formation mechanism of landslides in typical fault zones and protective countermeasures: A case study of the Nanpeng River fault zone

“…Landslides are the main regional geological hazard with a high-frequency in these regions (Huang and Li et al, 2011;Yin et al, 2017). Landslide susceptibility maps prepared by different methods showed that landslides in this area are closely related to fractures, rainfall, and human activities (Lan et al, 2004;Sidle et al, 2011;Shao et al, 2020). As landslides occurred frequently during construction and have caused property damage and geological hazards in Yunnan Province, geological surveys, field experiments, numerical simulations and other methods have been used to study landslides (Sidle et al, 2014;Yang et al, 2015;Du & Chen, 2022) and more results have been obtained in areas with frequent human activities.…”