[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities

Z Ma, G Mei - Earth-Science Reviews, 2021 - Elsevier
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …

[HTML][HTML] Remote sensing for landslide investigations: A progress report from China

Q Xu, B Zhao, K Dai, X Dong, W Li, X Zhu, Y Yang… - Engineering …, 2023 - Elsevier
China has a significant portion of land in landslide-prone areas, and remote sensing
technologies are becoming a tool of choice to investigate and monitor landslides. Although …

[HTML][HTML] Scientific challenges in disaster risk reduction for the Sichuan–Tibet Railway

P Cui, Y Ge, S Li, Z Li, X Xu, GGD Zhou, H Chen… - Engineering …, 2022 - Elsevier
Abstract Traversing the Qinghai–Tibetan Plateau, the Sichuan–Tibet Railway is by far the
most difficult railway project in the world. The Qinghai–Tibetan Plateau features the most …

Landslide4sense: Reference benchmark data and deep learning models for landslide detection

O Ghorbanzadeh, Y Xu, P Ghamisi, M Kopp… - arXiv preprint arXiv …, 2022 - arxiv.org
This study introduces\textit {Landslide4Sense}, a reference benchmark for landslide
detection from remote sensing. The repository features 3,799 image patches fusing optical …

Interpretation and sensitivity analysis of the InSAR line of sight displacements in landslide measurements

K Dai, J Deng, Q Xu, Z Li, X Shi… - GIScience & Remote …, 2022 - Taylor & Francis
Landslides are major geological hazards and frequently occur in mountainous areas with
steep slopes, often causing significant loss. Interferometric Synthetic Aperture Radar …

Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area

C Zhou, Y Cao, X Hu, K Yin, Y Wang, F Catani - Landslides, 2022 - Springer
Landslide hazard mapping is essential for disaster reduction and mitigation. The hazard
map produced by the spatiotemporal probability analysis is usually static with false-negative …

Identifying potential landslides by stacking-InSAR in southwestern China and its performance comparison with SBAS-InSAR

L Zhang, K Dai, J Deng, D Ge, R Liang, W Li, Q Xu - Remote Sensing, 2021 - mdpi.com
Landslide disasters occur frequently in the mountainous areas in southwest China, which
pose serious threats to the local residents. Interferometry Synthetic Aperture Radar (InSAR) …

Research on geological and surfacial processes and major disaster effects in the Yellow River Basin

H Lan, J Peng, Y Zhu, L Li, B Pan, Q Huang, J Li… - Science China Earth …, 2022 - Springer
Abstract The Yellow River Basin (YRB) is characterized by active geological and tectonic
processes, rapid geomorphological evolution, and distinct climatic diversity …

[HTML][HTML] Increasing irrigation-triggered landslide activity caused by intensive farming in deserts on three continents

Z Liu, H Qiu, Y Zhu, W Huangfu, B Ye, Y Wei… - International Journal of …, 2024 - Elsevier
Population growth and agricultural intensification lead to stress on landscapes that are
highly sensitive to land-use changes. An increase in irrigation-triggered landslides (ITL) in …

[HTML][HTML] “天-空-地” 协同滑坡监测技术进展

许强, 朱星, 李为乐, 董秀军, 戴可人, 蒋亚楠, 陆会燕… - 2022 - xb.chinasmp.com
滑坡灾害是全球范围内发生频率最高, 分布范围最广, 造成损失最重的自然灾害之一,
严重威胁着人类生命财产和重大工程设施的安全. 科学监测是实现滑坡预警预报与主动防范的 …