Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway
The China–Pakistan Karakoram Highway is an important land route from China to South Asia and the Middle East via Pakistan. Due to the extremely hazardous geological environment around the highway, landslides, debris flows, collapses, and subsidence are frequent. Among them, debris flows are one of t...
Main Authors: | Feng Qing, Yan Zhao, Xingmin Meng, Xiaojun Su, Tianjun Qi, Dongxia Yue |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/18/2933 |
Similar Items
-
Risk Assessment of Debris Flows Along the Karakoram Highway (Kashgar-Khunjerab Section) in the Context of Climate Change
by: Yamei Li, et al.
Published: (2023-08-01) -
Landslide susceptibility mapping with feature fusion transformer and machine learning classifiers incorporating displacement velocity along Karakoram highway
by: Yulong Zhou, et al.
Published: (2023-12-01) -
Investigation and susceptibility assessment of regional geological hazards along the Karakoram highway, northeast margin of Pamir Plateau
by: Jing Liu, et al.
Published: (2024-12-01) -
Modified “Rockfall Hazard Rating System for Pakistan (RHRSP)”: An Application for Hazard and Risk Assessment along the Karakoram Highway, Northwest Pakistan
by: Javed Iqbal Tanoli, et al.
Published: (2022-04-01) -
Air Quality Assessment along China-Pakistan Economic Corridor at the Confluence of Himalaya-Karakoram-Hindukush
by: Maqbool Ahmad, et al.
Published: (2022-11-01)