When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review

MM Kuglitsch, A Albayrak, J Luterbacher… - Environmental …, 2023 - iopscience.iop.org
Earth observations (EOs) have successfully been used to train artificial intelligence (AI)-
based models in the field of disaster risk reduction (DRR) contributing to tools such as …

[HTML][HTML] Cloud-based interactive susceptibility modeling of gully erosion in Google Earth Engine

G Titti, GN Napoli, C Conoscenti, L Lombardo - International Journal of …, 2022 - Elsevier
The gully erosion susceptibility literature is largely dominated by contributions focused on
model comparison. This has led to prioritize certain aspects and leave others …

Influence of spatial heterogeneity on landslide susceptibility in the transboundary area of the Himalayas

H Sun, W Li, M Scaioni, J Fu, X Guo, J Gao - Geomorphology, 2023 - Elsevier
Landslide susceptibility mapping is a challenging task if spatial heterogeneity is considered.
Considering the difference in topography and neglected landslide events, particularly in …

Landslide susceptibility and building exposure assessment using machine learning models and geospatial analysis techniques

C Luu, H Ha, XT Tran, TH Vu, QD Bui - Advances in Space Research, 2024 - Elsevier
Landslides are among the most dangerous hazards in Asia, posing a significant threat to
human lives, infrastructure, and sustainable development. Landslide susceptibility maps …

[PDF][PDF] 基于卷积神经网络的滑坡易发性评价: 以辽南仙人洞国家级自然保护区为例

郑德凤, 高敏, 闫成林, 李媛媛, 年廷凯 - 地球科学, 2024 - earth-science.net
为了解决滑坡易发性评价过程中存在的滑坡编录数据不足, 主观或者随机地选取非滑坡栅格单元
而导致模型准确率较低等问题, 以辽南仙人洞国家级自然保护区为研究区, 首先, 从地形地貌 …

Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery

S Peters, J Liu, G Keppel, A Wendleder, P Xu - Remote Sensing, 2024 - mdpi.com
Landslides, resulting from disturbances in slope equilibrium, pose a significant threat to
landscapes, infrastructure, and human life. Triggered by factors such as intense …

A cloud-based and open-source approach to generate landslide susceptibility maps

M Varnier - Revista Brasileira de Geomorfologia, 2024 - rbgeomorfologia.org.br
Landslides are devastating events with global implications, impacting human lives and
infrastructure. Understanding their patterns of occurrence and identifying susceptible …

Artificial Intelligence-Based Landslide Studies in Indonesia: A Systematic Review in Recent Years

THW Kristyanto, U Wusqa… - IOP Conference Series …, 2024 - iopscience.iop.org
Landslide is still a hot topic in geological hazard discussion, including Indonesia. Various
methods, including Artificial Intelligence (AI), are used to do research development on …

Detecting Co-Seismic Landslides in GEE using Machine-Learning Algorithms on combined Multispectral and RADAR Imagery

S Peters, J Liu, G Keppel, A Wendleder, P Xu - 2024 - preprints.org
Landslides, resulting from disturbances in slope equilibrium, pose a significant threat to
landscapes, infrastructure, and human life. Triggered by factors such as intense …

Studi Longsor Berbasis Kecerdasan Buatan: Sebuah Tinjauan

THW Kristyanto, U Wusqa, TYR Destyanto… - Jurnal Geosains …, 2023 - geosainsterapan.id
Tanah longsor masih menjadi topik hangat dalam diskusi bencana geologi, termasuk
Indonesia. Berbagai metode, termasuk Artificial Intelligence (AI), digunakan untuk …