Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India
Flood is considered the most extensive natural disaster around the globe. Kunur River, a
riverine landscape of Rarh Bengal, was selected as the study area because this basin has …
riverine landscape of Rarh Bengal, was selected as the study area because this basin has …
[HTML][HTML] Deep neural network utilizing remote sensing datasets for flood hazard susceptibility mapping in Brisbane, Australia
Large damages and losses resulting from floods are widely reported across the globe. Thus,
the identification of the flood-prone zones on a flood susceptibility map is very essential. To …
the identification of the flood-prone zones on a flood susceptibility map is very essential. To …
Spatial mapping of flood susceptibility using decision tree–based machine learning models for the Vembanad Lake System in Kerala, India
P Kulithalai Shiyam Sundar… - Journal of Water …, 2023 - ascelibrary.org
Floods have claimed the lives of countless people and caused significant property damage
in many countries, putting their livelihoods in the jeopardy. The Vembanad lake system …
in many countries, putting their livelihoods in the jeopardy. The Vembanad lake system …
Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks
M Ahmadlou, A Al‐Fugara… - Journal of Flood Risk …, 2021 - Wiley Online Library
Floods are one of the most destructive natural disasters causing financial damages and
casualties every year worldwide. Recently, the combination of data‐driven techniques with …
casualties every year worldwide. Recently, the combination of data‐driven techniques with …
Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network
Floods are considered one of the most destructive natural hydro-meteorological disasters
across the world. The present study attempts to assess flood susceptibility of the …
across the world. The present study attempts to assess flood susceptibility of the …
A comparison of performance measures of three machine learning algorithms for flood susceptibility mapping of river Silabati (tropical river, India)
Flood is the most common phenomenon causing extensive disruption to the environment,
socio-economy, infrastructure and many other aspects of human life. Flood susceptibility …
socio-economy, infrastructure and many other aspects of human life. Flood susceptibility …
Integration of hard and soft supervised machine learning for flood susceptibility mapping
Flooding is a destructive natural phenomenon that causes many casualties and property
losses in different parts of the world every year. Efficient flood susceptibility mapping (FSM) …
losses in different parts of the world every year. Efficient flood susceptibility mapping (FSM) …
Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt
BA El-Haddad, AM Youssef, HR Pourghasemi… - Natural Hazards, 2021 - Springer
Floods represent catastrophic environmental hazards that have a significant impact on the
environment and human life and their activities. Environmental and water management in …
environment and human life and their activities. Environmental and water management in …
Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches
S Duwal, D Liu, PM Pradhan - Geomatics, Natural Hazards and …, 2023 - Taylor & Francis
Abstract The Karnali River Basin (KRB) comprises the longest river in Nepal, located south
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …
[HTML][HTML] Flood susceptibility zonation using advanced ensemble machine learning models within Himalayan foreland basin
S Ghosh, S Saha, B Bera - Natural Hazards Research, 2022 - Elsevier
Floods are considered as one of nature's most destructive fluvio-hydrological extremes
because of the massive damage to agricultural land, roads and buildings and human …
because of the massive damage to agricultural land, roads and buildings and human …