An overview of flood concepts, challenges, and future directions
This review provides a broad overview of the current state of flood research, current
challenges, and future directions. Beginning with a discussion of flood-generating …
challenges, and future directions. Beginning with a discussion of flood-generating …
Fast flood extent monitoring with SAR change detection using google earth engine
Flooding is one of the most frequent and disastrous natural hazards triggered by extreme
precipitation, high river runoff, hurricane storm surges, and the compounding effects of …
precipitation, high river runoff, hurricane storm surges, and the compounding effects of …
Google Earth Engine for large-scale flood mapping using SAR data and impact assessment on agriculture and population of Ganga-Brahmaputra basin
The Ganga-Brahmaputra basin is highly sensitive to the impacts of climate change and
experiences recurrent flooding, which affects large agricultural areas and poses a high risk …
experiences recurrent flooding, which affects large agricultural areas and poses a high risk …
[HTML][HTML] Potential dam breach analysis and flood wave risk assessment using HEC-RAS and remote sensing data: A multicriteria approach
E Psomiadis, L Tomanis, A Kavvadias, KX Soulis… - Water, 2021 - mdpi.com
Water | Free Full-Text | Potential Dam Breach Analysis and Flood Wave Risk Assessment Using
HEC-RAS and Remote Sensing Data: A Multicriteria Approach Next Article in Journal Using …
HEC-RAS and Remote Sensing Data: A Multicriteria Approach Next Article in Journal Using …
Flood susceptibility mapping using hybrid models optimized with Artificial Bee Colony
K Plataridis, Z Mallios - Journal of Hydrology, 2023 - Elsevier
Floods are the most common type of natural hazard causing economic and human losses.
Mapping the susceptibility to flooding is essential for the effective management of flood risk …
Mapping the susceptibility to flooding is essential for the effective management of flood risk …
A novel framework for urban flood damage assessment
In the current study, a novel method is proposed to analyze the simultaneous impacts of non-
stationarity in hydrological time series and land-use changes in urban areas to predict future …
stationarity in hydrological time series and land-use changes in urban areas to predict future …
Flood hazard and risk zonation in north Bihar using satellite-derived historical flood events and socio-economic data
North Bihar is one of the most flood-affected regions of India. Frequent flooding caused
significant loss of life and severe economic damages. In this study, hydroclimatic conditions …
significant loss of life and severe economic damages. In this study, hydroclimatic conditions …
Urban objects detection from C-band synthetic aperture radar (SAR) satellite images through simulating filter properties
D Kumar - Scientific Reports, 2021 - nature.com
Satellite-based remote sensing has a key role in the monitoring earth features, but due to
flaws like cloud penetration capability and selective duration for remote sensing in traditional …
flaws like cloud penetration capability and selective duration for remote sensing in traditional …
Parametric study of convolutional neural network based remote sensing image classification
Recently, deep learning (DL) techniques including Convolutional neural network (CNN),
Recurrent neural network (RNN), and Recurrent-Convolutional neural network (R-CNN) …
Recurrent neural network (RNN), and Recurrent-Convolutional neural network (R-CNN) …
Rapid extreme tropical precipitation and flood inundation mapping framework (RETRACE): initial testing for the 2021–2022 Malaysia flood
The 2021–2022 flood is one of the most serious flood events in Malaysian history, with
approximately 70,000 victims evacuated daily, 54 killed and total losses up to MYR 6.1 …
approximately 70,000 victims evacuated daily, 54 killed and total losses up to MYR 6.1 …