Landslide Evolution Assessment Based on Sequential InSAR Methods in the Kunming Transmission Line Corridor

The security of the transmission line corridor is an important guar- antee for the sustainable supply of electricity and an important prerequisite for the rapid development of the economy. Transmission corridors located in high mountains and valleys are often threatened by geological disasters, which seriously affect their stable operation. This research investigates the landslide in the Kunming transmission corridor using 79 Sentinel-1A SAR images from July 2020 to October 2021. Using interferometric synthetic aperture radar (InSAR) methods, deformation changes before the landslide are analyzed. Factors like precipitation, lithology, and vegetation coverage demonstrate a correlation with landslide occurrence. Seasonal variations in deformation were related to precipitation. The landslide's primary causes are attributed to precipitation, carbonate karstification, and vegetation coverage. Ultimately, this research establishes a correlation between deformation changes and influencing factors in the Kunming transmission corridor, contributing to a deeper understanding of landslide evolution and ensuring the corridor's security for sustainable electricity supply and economic development.

Authors

Institutions

Publication Details

Journal
Photogrammetric Engineering & Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.14358/pers.24-00041r2
Citations
1
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
2.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Landslide Evolution Assessment Based on Sequential InSAR Methods in the Kunming Transmission Line Corridor

Buda Su, Hui Tang, Chuhang Xie, Zezhong Zheng et al.
1 citations
Photogrammetric Engineering & Remote Sensing
Landslides and related hazards
2.42
article

Landslide Evolution Assessment Based on Sequential InSAR Methods in the Kunming Transmission Line Corridor

Buda Su, Hui Tang, Chuhang Xie, Zezhong Zheng, Yi Ma, Gang Wen, Fangrong Zhou, Yizuo Li
article en
1 citations

Abstract

The security of the transmission line corridor is an important guar- antee for the sustainable supply of electricity and an important prerequisite for the rapid development of the economy. Transmission corridors located in high mountains and valleys are often threatened by geological disasters, which seriously affect their stable operation. This research investigates the landslide in the Kunming transmission corridor using 79 Sentinel-1A SAR images from July 2020 to October 2021. Using interferometric synthetic aperture radar (InSAR) methods, deformation changes before the landslide are analyzed. Factors like precipitation, lithology, and vegetation coverage demonstrate a correlation with landslide occurrence. Seasonal variations in deformation were related to precipitation. The landslide's primary causes are attributed to precipitation, carbonate karstification, and vegetation coverage. Ultimately, this research establishes a correlation between deformation changes and influencing factors in the Kunming transmission corridor, contributing to a deeper understanding of landslide evolution and ensuring the corridor's security for sustainable electricity supply and economic development.

Photogrammetric Engineering & Remote SensingVol. 91(1)
Electric Power Research Institute (US), University of Electronic Science and Technology of China (CN), Huzhou Normal University (CN), Louisiana Department of Natural Resources (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Landslides and related hazards
2.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.