Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery

ABSTRACT The upper reaches of the Yellow River, located at the northeastern edge of the Qinghai‐Tibet Plateau in China, are characterized by intense tectonic activity and widespread landslide geomorphology. Creating a detailed and objective map of landslide geomorphology in this region is crucial for understanding the development of landslides. However, the availability of high‐quality landslide inventories in this area is limited, hindering a comprehensive understanding of landslide development and scientific landslide disaster prevention efforts. This study utilized multi‐temporal high‐resolution remote sensing imagery provided by the Google Earth platform to conduct a thorough landslide geomorphology survey and inventory construction in Minhe County, located in the upper Yellow River. The results show that within the study area of 1890.82 km 2 , at least 5517 landslide geomorphologies were identified, covering an area of 434.43 km 2 , with landslide‐affected areas accounting for approximately 22.98% of the total area. The largest single landslide area is 1.62 × 10 6 m 2 , while the smallest single landslide area is 880.22 m 2 , with an average landslide area of 78743.04 m 2 . The highest landslide point density reached 11.5 km −2 . More than 80% of the landslides were distributed in the townships of Qianhe, Zhongchuan, Guanting, and Bazhou. Landslides were predominantly distributed along the tributaries of the Huangshui and Yellow Rivers, with denser occurrences at river bends. In addition, some landslide geomorphologies are located in densely populated village areas, posing significant safety risks. These results provide valuable data support for further analysis of landslide spatial distribution in Minhe County, landslide risk assessment, and other related research.

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Publication Details

Journal
Transactions in GIS
Published
2024-12-10
DOI
https://doi.org/10.1111/tgis.13281
Citations
4
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
2.84

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article

Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery

Jixiang Xu, Qinxia Wang, Chong Bang Xu
4 citations
Transactions in GIS
Landslides and related hazards
2.84
article

Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery

Jixiang Xu, Qinxia Wang, Chong Bang Xu
article en
4 citations

Abstract

ABSTRACT The upper reaches of the Yellow River, located at the northeastern edge of the Qinghai‐Tibet Plateau in China, are characterized by intense tectonic activity and widespread landslide geomorphology. Creating a detailed and objective map of landslide geomorphology in this region is crucial for understanding the development of landslides. However, the availability of high‐quality landslide inventories in this area is limited, hindering a comprehensive understanding of landslide development and scientific landslide disaster prevention efforts. This study utilized multi‐temporal high‐resolution remote sensing imagery provided by the Google Earth platform to conduct a thorough landslide geomorphology survey and inventory construction in Minhe County, located in the upper Yellow River. The results show that within the study area of 1890.82 km 2 , at least 5517 landslide geomorphologies were identified, covering an area of 434.43 km 2 , with landslide‐affected areas accounting for approximately 22.98% of the total area. The largest single landslide area is 1.62 × 10 6 m 2 , while the smallest single landslide area is 880.22 m 2 , with an average landslide area of 78743.04 m 2 . The highest landslide point density reached 11.5 km −2 . More than 80% of the landslides were distributed in the townships of Qianhe, Zhongchuan, Guanting, and Bazhou. Landslides were predominantly distributed along the tributaries of the Huangshui and Yellow Rivers, with denser occurrences at river bends. In addition, some landslide geomorphologies are located in densely populated village areas, posing significant safety risks. These results provide valuable data support for further analysis of landslide spatial distribution in Minhe County, landslide risk assessment, and other related research.

Transactions in GISVol. 29(1)
Institute of Geology, China Earthquake Administration, China Earthquake Administration (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 9%
Landslides and related hazards
2.84
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