Flood Susceptibility Map of Periyar River Basin Using Geo-spatial Technology and Machine Learning Approach
Floods are among nature's most destructive disasters because they create extremely
extensive damage to structures, the environment, and people. Therefore, it is important to …
extensive damage to structures, the environment, and people. Therefore, it is important to …
Flood susceptibility mapping using random forest machine learning and generalized bayesian linear model
Today, the phenomenon of flooding is one of the most complex hazardous events that, more
than any other natural disaster, causes deaths and finances every year in different parts of …
than any other natural disaster, causes deaths and finances every year in different parts of …
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model
A Yaseen, J Lu, X Chen - Stochastic Environmental Research and Risk …, 2022 - Springer
Floods are among the most destructive natural hazards. Therefore, their prediction is pivotal
for flood management and public safety. Factors contributing to flood are different for every …
for flood management and public safety. Factors contributing to flood are different for every …
Flood susceptible prediction through the use of geospatial variables and machine learning methods
NM Gharakhanlou, L Perez - Journal of hydrology, 2023 - Elsevier
Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …
Flood susceptibility mapping of Northeast coastal districts of Tamil Nadu India using Multi-source Geospatial data and Machine Learning techniques
S Saravanan, D Abijith - Geocarto International, 2022 - Taylor & Francis
Flooding is one of the most challenging and important natural disasters to predict, it is
becoming more frequent and more intense. The study area is badly damaged by devastating …
becoming more frequent and more intense. The study area is badly damaged by devastating …
Modeling flood susceptibility zones using hybrid machine learning models of an agricultural dominant landscape of India
Flooding events are determining a significant amount of damages, in terms of economic loss
and also casualties in Asia and Pacific areas. Due to complexity and ferocity of severe …
and also casualties in Asia and Pacific areas. Due to complexity and ferocity of severe …
Evaluating the Efficiency of Machine Learning Models in Preparing Flood Probability Mapping
M Avand, S Janizadeh, F Jafari - Degradation and Rehabilitation of …, 2020 - drnl.sanru.ac.ir
Flood is one of the most devastating natural disasters that annually causes financial and life
losses. Therefore, developing a susceptibility map for flood management and reducing its …
losses. Therefore, developing a susceptibility map for flood management and reducing its …
Machine learning framework for flood susceptibility modeling in a fast-growing urban city of Southern India
Flooding in urban areas often results severe loss of life and property and has many negative
socio-economic impacts. Therefore, identifying the flood prone areas is necessary for future …
socio-economic impacts. Therefore, identifying the flood prone areas is necessary for future …
Spatial modeling of flood probability using geo-environmental variables and machine learning models, case study: Tajan watershed, Iran
The main objective of this study was to produce flood susceptibility maps for Tajan
watershed, Sari, Iran using three machine learning (ML) models including Self-Organization …
watershed, Sari, Iran using three machine learning (ML) models including Self-Organization …
[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 …