Landslide mapping using object-based image analysis and open source tools
Availability of high-resolution optical imagery and advances in image processing
technologies have significantly improved our ability to map landslides. In recent years object …
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
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 …
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
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 …
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 …
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 …
for making effective use of historical datasets and producing a reliable landslide …
Framework for rainfall-triggered landslide-prone critical infrastructure zonation
Rainfall-induced landslides cause frequent disruptions to critical infrastructure in
mountainous countries. Climate change is altering rainfall patterns and localizing extreme …
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 …
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 …
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 …
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 …
Convolutional Neural Network (CNN), Deep Neural Network (DNN), Recurrent Neural …