Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …
tools and data fusion strategies has recently opened new perspectives for environmental …
A critical review of emerging technologies for flash flood prediction: examining artificial intelligence, machine learning, internet of things, cloud computing, and robotics …
There has been growing interest in the application of smart technologies for hazard
management. However, very limited studies have reviewed the trends of such technologies …
management. However, very limited studies have reviewed the trends of such technologies …
Flash flood susceptibility assessment and zonation by integrating analytic hierarchy process and frequency ratio model with diverse spatial data
Flash floods are the most dangerous kinds of floods because they combine the destructive
power of a flood with incredible speed. They occur when heavy rainfall exceeds the ability of …
power of a flood with incredible speed. They occur when heavy rainfall exceeds the ability of …
Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis
The present study was done in order to simulate the flash-flood susceptibility across the
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …
Suha river basin in Romania using a number of 3 hybrid models and fuzzy-AHP multicriteria …
Development of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river …
The occurrences of flash floods in sub-tropical climatic regions like India are ubiquitous
phenomena, particularly during the monsoon season. This type of flood occurs within a short …
phenomena, particularly during the monsoon season. This type of flood occurs within a short …
Flood hazard index application in arid catchments: Case of the taguenit wadi watershed, Lakhssas, Morocco
M Ikirri, F Faik, FZ Echogdali, IMHR Antunes, M Abioui… - Land, 2022 - mdpi.com
During the last decade, climate change has generated extreme rainfall events triggering
flash floods in short periods worldwide. The delimitation of flood zones by detailed mapping …
flash floods in short periods worldwide. The delimitation of flood zones by detailed mapping …
GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam
HD Nguyen - Earth Science Informatics, 2022 - Springer
Floods is a natural hazard that occurs over a short time with a high transmission speed.
Flood risk management in many countries employs flood susceptibility modeling to mitigate …
Flood risk management in many countries employs flood susceptibility modeling to mitigate …
Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms
This study investigated the impact of climate change on flood susceptibility in six South
Asian countries Afghanistan, Bangladesh, Bhutan, Bharat (India), Nepal, and Pakistan …
Asian countries Afghanistan, Bangladesh, Bhutan, Bharat (India), Nepal, and Pakistan …
Flood vulnerability and buildings' flood exposure assessment in a densely urbanised city: comparative analysis of three scenarios using a neural network approach
Advances in the availability of multi-sensor, remote sensing-derived datasets, and machine
learning algorithms can now provide an unprecedented possibility to predict flood events …
learning algorithms can now provide an unprecedented possibility to predict flood events …
[HTML][HTML] Application of bivariate approaches for flood susceptibility mapping: a district level study in Eastern India
The main objective of this present study is to prepare flood susceptibility mapping using
bivariate approaches considering parameters such as rainfall, geomorphology, geology …
bivariate approaches considering parameters such as rainfall, geomorphology, geology …