Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery DOI Creative Commons
Qinxia Wang, Chong Xu, Jixiang Xu

et al.

Transactions in GIS, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

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

Language: Английский

Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China DOI Creative Commons
Jielin Liu, Chong Xu,

Binbin Zhao

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(1), P. 156 - 156

Published: Jan. 5, 2025

The use of satellite imagery for surface deformation monitoring has been steadily increasing. However, the study extracting slopes from data requires further advancement. This limitation not only poses challenges subsequent studies but also restricts potential deeper exploration and utilization data. LT-1 satellite, China’s largest L-band synthetic aperture radar offers a new perspective monitoring. In this study, we extracted in Chongqing its surrounding areas China based on generated by LT-1. Twelve factors were selected to analyze their influence slope deformation, including elevation, topographic position, slope, landcover, soil, lithology, relief, average rainfall intensity, distances rivers, roads, railways, active faults. A total 5863 identified, covering an area 140 km2, mainly concentrated central part area, with highest density reaching 0.22%. Among these factors, intensity was found have greatest impact slope. These findings provide valuable information geological disaster early warning management areas, while demonstrating practical value

Language: Английский

Citations

2
Inventory of landslide relics in Zhenxiong County based on human-machine interactive visual interpretation, Yunnan Province, China DOI Creative Commons
Zhiwen Xue, Chong Xu, Zhang Zhi-qiang

et al.

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 10, 2025

Introduction Landslides occur frequently in Zhenxiong County, posing significant threats to residents’ lives and property. A comprehensive understanding of the development patterns landslide disasters this region is crucial for disaster prevention, land-use planning, risk assessment. Methods This study utilized high-resolution satellite imagery from Google Earth Pro platform employed a human-machine interactive visual interpretation approach investigate occurrences. inventory comprising 3,979 outlines was established through extensive literature review data cleaning techniques. The spatial distribution characteristics statistical landslides were analyzed. Results total landslide-affected area 319.20 km 2 , with largest covering 4.55 smallest measuring 1,779 m . average 80,215 majority (73.54%) classified as medium-sized landslides. percentage (LAP) 8.64%, number density (LND) 1.077 per highest recorded being 3.380 are predominantly concentrated four key areas: confluence Baishui River Yanxi River, Dashuigou Reservoir, both sides valley Heitang Village Hongyan Village, Xiaogou Village. These areas characterized by well-developed water systems, middle low mountains, heavily dissected landscapes. Discussion database provides essential scientific analyzing County. It offers valuable insights local governments relevant authorities findings highlight impact complex terrain developed systems mountain regions on disasters. Future studies should further integrate geological meteorological factors deeper analysis.

Language: Английский

Citations

0
Advances in earthquake and cascading disasters DOI Creative Commons
Xiangli He,

Zhaoning Chen,

Qing Yang

et al.

Natural Hazards Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
What are the spatial distribution characteristics of the 4417 landslides in Minhe County, Qinghai Province, China? DOI Creative Commons
Qinxia Wang, Chong Xu

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 13

Published: March 27, 2025

Landslide relic inventories serve as essential data for geological disaster investigations and risk assessments. Using a previously developed landslide inventory Minhe County, Qinghai Province, this study employs number density (LND) area percentage (LAP) to thoroughly investigate the spatial distribution characteristics of landslides in region. Utilizing GIS platform, we selected ten factors in-depth analysis, including elevation, slope aspect, gradient, relief degree land surface, distance faults, lithology, use type, rivers, rainfall, NDVI. The results show that at least 5,517 relics have with total coverage 434.43 km 2 . These are mainly distributed regions elevations 2000–2100 m, gradients 15°–25°, Neogene strata, grassland, within 0–2 rivers. Both aspect most significant influencing County. findings contribute better understanding development Huangshui River Basin provide valuable support future assessments prevention efforts.

Language: Английский

Citations

0
Establishing a Landslide Traces Inventory for the Baota District, Yan’an City, China, Using High-Resolution Satellite Images DOI Creative Commons
S. Zhang, Chong Xu, Zhenjiang Meng

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1580 - 1580

Published: Sept. 28, 2024

The Baota District of Yan’an City, located in the Loess Plateau, is an important patriotic education base China. region’s fragile geological environment and frequent disasters pose significant threats to production livelihood residents. Establishing a landslide traces inventory can provide crucial assistance for studying regional land disaster distribution patterns implementing prevention mitigation measures. However, has not yet established comprehensive detailed inventory, resulting lack clear understanding knowledge regarding impacts area. Therefore, this study employed high-resolution satellite images, applying human–computer interactive visual interpretation method conjunction with field survey verifications, develop most date. results indicate that within 3556 km2 area District, there are 73,324 traces, average density 20.62 km-2 total 769.12 km2, accounting 21.63% These landslides relatively evenly distributed throughout district, higher concentration east compared west. Most small size. This support efforts serve as reference establishing inventories other regions Plateau.

Language: Английский

Citations

2
Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery DOI Creative Commons
Qinxia Wang, Chong Xu, Jixiang Xu

et al.

Transactions in GIS, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 10, 2024

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

Language: Английский

Citations

2