Remote sensing methods for flood prediction: A review

HS Munawar, AWA Hammad, ST Waller - Sensors, 2022 - mdpi.com
Floods are a major cause of loss of lives, destruction of infrastructure, and massive damage
to a country's economy. Floods, being natural disasters, cannot be prevented completely; …

[HTML][HTML] Predicting flood susceptibility using LSTM neural networks

Z Fang, Y Wang, L Peng, H Hong - Journal of Hydrology, 2021 - Elsevier
Identifying floods and producing flood susceptibility maps are crucial steps for decision-
makers to prevent and manage disasters. Plenty of studies have used machine learning …

Using 1D HEC-RAS modeling and LiDAR data to improve flood hazard maps accuracy: A case study from Jijia Floodplain (NE Romania)

E Huţanu, A Mihu-Pintilie, A Urzica, LE Paveluc… - Water, 2020 - mdpi.com
The ability to extract flood hazard settings in highly vulnerable areas like populated
floodplains by using new computer algorithms and hydraulic modeling software is an …

Predicting future urban flood risk using land change and hydraulic modeling in a river watershed in the central Province of Vietnam

HD Nguyen, D Fox, DK Dang, LT Pham, QV Viet Du… - Remote Sensing, 2021 - mdpi.com
Flood risk is a significant challenge for sustainable spatial planning, particularly concerning
climate change and urbanization. Phrasing suitable land planning strategies requires …

Dam breach size comparison for flood simulations. A HEC-RAS based, GIS approach for Drăcșani Lake, Sitna River, Romania

LM Albu, A Enea, M Iosub, IG Breabăn - Water, 2020 - mdpi.com
Floods are the most destructive natural phenomenon, by the total number of casualties, and
value of property damage, compared to any other type of natural disaster. However, some of …

Flash flood risk assessment for drainage basins in the Himalayan foreland of Jalpaiguri and Darjeeling Districts, West Bengal

S Karmokar, M De - Modeling Earth Systems and Environment, 2020 - Springer
Flash floods pose significant threats to the socio-economic development of the Jalpaiguri
and Darjeeling Districts. These districts situated in the piedmont zone of Sikkim–Darjeeling …

Machine learning and remote sensing application for extreme climate evaluation: example of flood susceptibility in the Hue Province, Central Vietnam Region

MC Ha, PL Vu, HD Nguyen, TP Hoang, DD Dang… - Water, 2022 - mdpi.com
Floods are the most frequent natural hazard globally and incidences have been increasing
in recent years as a result of human activity and global warming, making significant impacts …

A geomorphic approach for identifying flash flood potential areas in the East Rapti River Basin of Nepal

TP Pangali Sharma, J Zhang, NR Khanal… - … International Journal of …, 2021 - mdpi.com
Basin geomorphology is a complete system of landforms and topographic features that play
a crucial role in the basin-scale flood risk evaluation. Nepal is a country characterized by …

Comparative multi-criteria assessment of hydrological vulnerability—case study: drainage basins in the Northeast Region of Romania

AC Albulescu, I Minea, D Boicu, D Larion - Water, 2022 - mdpi.com
Hydrological vulnerability (HV) is a (changing) underlying condition in all drainage basins,
depending on the dynamics of the potentially dangerous hydrological phenomena, the …

Regional-scale prediction of pluvial and flash flood susceptible areas using tree-based classifiers

M Kaiser, S Günnemann, M Disse - Journal of Hydrology, 2022 - Elsevier
Flood events triggered by heavy rain, such as pluvial and flash floods, are a common threat
worldwide. However, it is usually not known which areas and cities are particularly …