Using remote sensing to characterize riparian vegetation: A review of available tools and perspectives for managers
Riparian vegetation is a central component of the hydrosystem. As such, it is often subject to
management practices that aim to influence its ecological, hydraulic or hydrological …
management practices that aim to influence its ecological, hydraulic or hydrological …
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
Floods, as a catastrophic phenomenon, have a profound impact on ecosystems and human
life. Modeling flood susceptibility in watersheds and reducing the damages caused by …
life. Modeling flood susceptibility in watersheds and reducing the damages caused by …
A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
In north of Iran, flood is one of the most important natural hazards that annually inflict great
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …
economic damages on humankind infrastructures and natural ecosystems. The Kiasar …
Flood susceptibility mapping 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 …
GIS-based multi-criteria analysis for flood prone areas mapping in the trans-boundary Shatt Al-Arab basin, Iraq-Iran
H Allafta, C Opp - Geomatics, Natural Hazards and Risk, 2021 - Taylor & Francis
Severe flood events in the trans-boundary Shatt Al-Arab basin (Iraq-Iran) claim hundreds of
human lives and cause damage to the economy and environment. Therefore, developing a …
human lives and cause damage to the economy and environment. Therefore, developing a …
Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling
Flood spatial susceptibility prediction is the first essential step in developing flood mitigation
strategies and reducing flood damage. Flood occurrence is a complex process that is not …
strategies and reducing flood damage. Flood occurrence is a complex process that is not …
[HTML][HTML] Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models
The flood hazard management is one of the major challenges in the floodplain regions
worldwide. With the rise in population growth and the spread of infrastructural development …
worldwide. With the rise in population growth and the spread of infrastructural development …
Comparison of multi-criteria-analytical hierarchy process and machine learning-boosted tree models for regional flood susceptibility mapping: a case study from …
Identification of areas susceptible to floods is an important issue which requires an
increased attention due to the changing frequency and magnitude of floods, which is mainly …
increased attention due to the changing frequency and magnitude of floods, which is mainly …
[HTML][HTML] River widening in mountain and foothill areas during floods: Insights from a meta-analysis of 51 European Rivers
River widening, defined as a lateral expansion of the channel, is a critical process that
maintains fluvial ecosystems and is part of the regular functioning of rivers. However, in …
maintains fluvial ecosystems and is part of the regular functioning of rivers. However, in …
Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment
Floods are among the most frequently occurring natural disasters and the costliest in terms
of human life and ecosystem disturbance. Identifying areas susceptible to flooding is …
of human life and ecosystem disturbance. Identifying areas susceptible to flooding is …