Landslide mapping using object-based image analysis and open source tools

P Amatya, D Kirschbaum, T Stanley, H Tanyas - Engineering geology, 2021 - Elsevier
Availability of high-resolution optical imagery and advances in image processing
technologies have significantly improved our ability to map landslides. In recent years object …

[HTML][HTML] Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh

M Rahman, N Chen, MM Islam, A Dewan… - Geoscience …, 2021 - Elsevier
This work developed models to identify optimal spatial distribution of emergency evacuation
centers (EECs) such as schools, colleges, hospitals, and fire stations to improve flood …

A comparative analysis of certainty factor-based machine learning methods for collapse and landslide susceptibility mapping in Wenchuan County, China

X Yuan, C Liu, R Nie, Z Yang, W Li, X Dai, J Cheng… - Remote Sensing, 2022 - mdpi.com
After the “5· 12” Wenchuan earthquake in 2008, collapses and landslides have occurred
continuously, resulting in the accumulation of a large quantity of loose sediment on slopes or …

[HTML][HTML] Landslide susceptibility mapping with GIS in high mountain area of Nepal: a comparison of four methods

P Gautam, T Kubota, LM Sapkota… - Environmental Earth …, 2021 - Springer
Landslide susceptibility mapping (LSM) assists identifying and targeting landslide
preventive measures, thereby minimizing potential losses. Multiple approaches are …

Incorporating landslide spatial information and correlated features among conditioning factors for landslide susceptibility mapping

X Yang, R Liu, M Yang, J Chen, T Liu, Y Yang… - Remote Sensing, 2021 - mdpi.com
This study proposed a new hybrid model based on the convolutional neural network (CNN)
for making effective use of historical datasets and producing a reliable landslide …

Framework for rainfall-triggered landslide-prone critical infrastructure zonation

K Gnyawali, K Dahal, R Talchabhadel… - Science of the Total …, 2023 - Elsevier
Rainfall-induced landslides cause frequent disruptions to critical infrastructure in
mountainous countries. Climate change is altering rainfall patterns and localizing extreme …

Impacts of transport corridor on ecosystem vulnerability in the Qinghai-Tibetan Plateau: insights from the Sino-Nepalese transport corridor

Y Sun, J Guo, L Zhao, G Jin, Y Wang, D Yue - Journal of Cleaner …, 2024 - Elsevier
Transportation corridors are crucial links for socioeconomic development and connectivity,
playing a significant role in restructuring regional spatial structures. Fully understanding the …

An integrated quantitative and qualitative approach for landslide susceptibility mapping in West Sikkim district, Indian Himalaya

P Biswakarma, V Joshi, HG Abdo… - … , Natural Hazards and …, 2023 - Taylor & Francis
Landslides rank as the third most common natural disaster globally, and the Indian
Himalaya Region is no exception, experiencing severe impacts during the rainy season …

Assessment of eco‐environmental changes along roads in the Qinghai‐Tibetan Plateau based on remote sensing data: a case study of the Sino‐Nepalese Transport …

Y Sun, G Jin, L Zhao, J Guo… - Land Degradation & …, 2024 - Wiley Online Library
Understanding the evolutionary patterns of ecological quality in transport corridor areas and
their driving mechanisms is essential for maintaining regional sustainable development …

Exploring deep learning models for roadside landslide prediction: Insights and implications from comparative analysis

TN Viet, DD Nguyen, MN Duc, CC Trong… - … of the Earth, Parts a/b/c, 2024 - Elsevier
This study undertakes a comparative analysis of four distinct deep learning models, ie,
Convolutional Neural Network (CNN), Deep Neural Network (DNN), Recurrent Neural …