Examining flood vulnerability mapping approaches in developing countries: A scoping review
In the face of climate change, mapping flood vulnerability has become important. This is
because it helps to identify vulnerable people in particular communities and provides a …
because it helps to identify vulnerable people in particular communities and provides a …
Flood detection with SAR: A review of techniques and datasets
Floods are among the most severe and impacting natural disasters. Their occurrence rate
and intensity have been significantly increasing worldwide in the last years due to climate …
and intensity have been significantly increasing worldwide in the last years due to climate …
Flood susceptibility mapping using AutoML and a deep learning framework with evolutionary algorithms for hyperparameter optimization
AM Vincent, KSS Parthasarathy, P Jidesh - Applied Soft Computing, 2023 - Elsevier
Flooding is one of the most common natural hazards that have extremely detrimental
consequences. Understanding which areas are vulnerable to flooding is crucial to …
consequences. Understanding which areas are vulnerable to flooding is crucial to …
Quantifying flood risks during monsoon and post-monsoon seasons: An integrated framework for resource-constrained coastal regions
Global coastal regions are transforming into “flooding hot-spots” due to the multi-faceted
confluence of several flood-drivers. Unfortunately, these regions are often poorly gauged …
confluence of several flood-drivers. Unfortunately, these regions are often poorly gauged …
A novel change detection and threshold-based ensemble of scenarios pyramid for flood extent mapping using Sentinel-1 data
Flood disasters destroy infrastructure, disrupt ecosystem processes, adversely affect social
and economic activities and cause human fatalities. As such, flood extent mapping (FEM) is …
and economic activities and cause human fatalities. As such, flood extent mapping (FEM) is …
Enhancing flood prediction accuracy through integration of meteorological parameters in river flow observations: A case study Ottawa river
C Letessier, J Cardi, A Dussel, I Ebtehaj, H Bonakdari - Hydrology, 2023 - mdpi.com
Given that the primary cause of flooding in Ontario, Canada, is attributed to spring floods, it is
crucial to incorporate temperature as an input variable in flood prediction models with …
crucial to incorporate temperature as an input variable in flood prediction models with …
Exploring optimal deep tunnel sewer systems to enhance urban pluvial flood resilience in the gangnam region, South Korea
Urban pluvial flooding is becoming a global concern, exacerbated by urbanization and
climate change, especially in rapidly developing areas where existing sewer systems lag …
climate change, especially in rapidly developing areas where existing sewer systems lag …
Developing an ensemble machine learning approach for enhancing flood damage assessment
Climate change has caused fundamental changes in the pattern of rainfall worldwide.
Climate change can alter precipitation patterns, consequently intensifying the frequency and …
Climate change can alter precipitation patterns, consequently intensifying the frequency and …
Migrating rivers, consequent paleochannels: The unlikely partners and hotspots of flooding
Furious floods have become an omnipresent reality with the dawn of climate change and its
transition to adulthood. Since climate change has now become an accepted reality …
transition to adulthood. Since climate change has now become an accepted reality …
Flooded extent and depth analysis using optical and SAR remote sensing with machine learning algorithms
J Soria-Ruiz, YM Fernandez-Ordoñez… - Atmosphere, 2022 - mdpi.com
Recurrent flooding occurs in most years along different parts of the Gulf of Mexico coastline
and the central and southeastern parts of Mexico. These events cause significant economic …
and the central and southeastern parts of Mexico. These events cause significant economic …