[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 …

Mapping landslides from space: A review

A Novellino, C Pennington, K Leeming, S Taylor… - Landslides, 2024 - Springer
Landslide hazards have significant social, economic, and environmental impact. This work
provides a critical review of the main existing literature using satellite data for mapping …

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 …

Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy

X Wang, X Fan, Q Xu, P Du - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
Co-seismic landslide mapping after earthquake event is essential for emergency rescue,
geohazard prevention, and post-disaster reconstruction. Most co-seismic landslide mapping …

[PDF][PDF] 地震诱发滑坡空间分布概率近实时预测研究——以2022 年6 月1 日四川芦山地震为例

范宣梅, 方成勇, 戴岚欣, 王欣, 罗永红, 魏涛, 王运生 - 工程地质学报, 2022 - dsjyj.com.cn
摘要2022 年6 月1 日17 时00 分, 继2013 年芦山地震, 时隔9 年四川省雅安市芦山县再次发生
Ms6. 1 级地震. 地震是诱发山区地质灾害的重要因素之一, 往往造成大量的人员伤亡和财产损失 …

Data-driven landslide nowcasting at the global scale

TA Stanley, DB Kirschbaum, G Benz… - Frontiers in Earth …, 2021 - frontiersin.org
Landslides affect nearly every country in the world each year. To better understand this
global hazard, the Landslide Hazard Assessment for Situational Awareness (LHASA) model …

A Novel historical landslide detection approach based on LiDAR and lightweight attention U-Net

C Fang, X Fan, H Zhong, L Lombardo, H Tanyas… - Remote Sensing, 2022 - mdpi.com
Rapid and accurate identification of landslides is an essential part of landslide hazard
assessment, and in particular it is useful for land use planning, disaster prevention, and risk …

[HTML][HTML] Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories

R Emberson, DB Kirschbaum… - … Hazards and Earth …, 2022 - nhess.copernicus.org
Landslides are a key hazard in high-relief areas around the world and pose a risk to
populations and infrastructure. It is important to understand where landslides are likely to …

Landslide detection from bitemporal satellite imagery using attention-based deep neural networks

SOY Amankwah, G Wang, K Gnyawali, DFT Hagan… - Landslides, 2022 - Springer
Torrential rainfall predisposes hills to catastrophic landslides resulting in serious damage to
life and property. Landslide inventory maps are therefore essential for rapid response and …