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Decision support tools, systems and indices for sustainable coastal planning and management: A review
Coasts worldwide are facing enormous challenges relating to extreme water levels,
inundation and coastal erosion. These challenges need to be addressed with consideration …
inundation and coastal erosion. These challenges need to be addressed with consideration …
[HTML][HTML] A hybrid ensemble-based deep-learning framework for landslide susceptibility map**
Landslides are highly hazardous geological disasters that can potentially threaten the safety
of human life and property. As a result, landslide susceptibility map** (LSM) plays an …
of human life and property. As a result, landslide susceptibility map** (LSM) plays an …
Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples
Abstract Machine learning models have been widely used for landslide susceptibility
assessment (LSA) in recent years. The accuracy of machine learning-based LSA often …
assessment (LSA) in recent years. The accuracy of machine learning-based LSA often …
Snow and ice avalanches in high mountain Asia–scientific, local and indigenous knowledge
A Acharya, JF Steiner, KM Walizada… - … Hazards and Earth …, 2023 - nhess.copernicus.org
The cryosphere in high mountain Asia (HMA) not only sustains the livelihoods of people
residing downstream through its capacity to store water but also holds the potential for …
residing downstream through its capacity to store water but also holds the potential for …
[HTML][HTML] DEM resolution effects on machine learning performance for flood probability map**
Floods are among the devastating natural disasters that occurred very frequently in arid
regions during the last decades. Accurate assessment of the flood susceptibility map** is …
regions during the last decades. Accurate assessment of the flood susceptibility map** is …
Flood susceptibility map** using an improved analytic network process with statistical models
Flooding is a natural disaster that causes considerable damage to different sectors and
severely affects economic and social activities. The city of Saqqez in Iran is susceptible to …
severely affects economic and social activities. The city of Saqqez in Iran is susceptible to …
Snow avalanche susceptibility map** using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial …
MC Iban, SS Bilgilioglu - Stochastic Environmental Research and Risk …, 2023 - Springer
This study examines the use of snow avalanche susceptibility maps (SASMs) to identify
areas prone to avalanches and develop measures to mitigate the risk in the Province of …
areas prone to avalanches and develop measures to mitigate the risk in the Province of …
Landslide susceptibility zonation using statistical and machine learning approaches in Northern Lecco, Italy
M Mehrabi - Natural Hazards, 2021 - Springer
This study deals with landslide susceptibility map** in the northern part of Lecco Province,
Lombardy Region, Italy. In so doing, a valid landslide inventory map and thirteen …
Lombardy Region, Italy. In so doing, a valid landslide inventory map and thirteen …
[HTML][HTML] Multi-hazard exposure map** using machine learning for the State of Salzburg, Austria
TG Nachappa, O Ghorbanzadeh, K Gholamnia… - Remote Sensing, 2020 - mdpi.com
We live in a sphere that has unpredictable and multifaceted landscapes that make the risk
arising from several incidences that are omnipresent. Floods and landslides are widespread …
arising from several incidences that are omnipresent. Floods and landslides are widespread …
Determination of flood probability and prioritization of sub-watersheds: A comparison of game theory to machine learning
Floods often significantly impact human lives, properties, and activities. Prioritizing areas in
a region for mitigation based on flood probability is essential for reducing losses. In this …
a region for mitigation based on flood probability is essential for reducing losses. In this …