[HTML][HTML] Deep Learning Methods of Satellite Image Processing for Monitoring of Flood Dynamics in the Ganges Delta, Bangladesh
P Lemenkova - Water, 2024 - mdpi.com
Mapping spatial data is essential for the monitoring of flooded areas, prognosis of hazards
and prevention of flood risks. The Ganges River Delta, Bangladesh, is the world's largest …
and prevention of flood risks. The Ganges River Delta, Bangladesh, is the world's largest …
Delineating flood zones upon employing synthetic aperture data for the 2020 flood in Bangladesh
Delineating a flood map is critical to perceive the potential risks of the event at diverse
communities living both in urban and rural settings in Bangladesh. A timely generated flood …
communities living both in urban and rural settings in Bangladesh. A timely generated flood …
Empowering real-time flood impact assessment through the integration of machine learning and Google Earth Engine: a comprehensive approach
Floods cause substantial losses to life and property, especially in flood-prone regions like
northwestern Bangladesh. Timely and precise evaluation of flood impacts is critical for …
northwestern Bangladesh. Timely and precise evaluation of flood impacts is critical for …
Flood Forecasting Using Artificial Neural Network (ANNs): A Case study of Jamuna River
MTR Mazumder, BC Gupta - AGU Fall Meeting Abstracts, 2021 - ui.adsabs.harvard.edu
Jamuna is one of the major rivers in Bangladesh which is highly vulnerable to floods.
Bangladesh has faced devastating floods during recent years. As the physical processes …
Bangladesh has faced devastating floods during recent years. As the physical processes …
Optimized Deep Learning Model for Flood Detection Using Satellite Images
A Stateczny, HD Praveena, RH Krishnappa… - Remote Sensing, 2023 - mdpi.com
The increasing amount of rain produces a number of issues in Kerala, particularly in urban
regions where the drainage system is frequently unable to handle a significant amount of …
regions where the drainage system is frequently unable to handle a significant amount of …
Real-time flood inundation monitoring in Capital of India using Google Earth Engine and Sentinel database
B Rana - Knowledge-Based Engineering and …, 2023 - … journals.publicknowledgeproject.org
This study focuses on researching flood inundation and vulnerable areas in Delhi NCT
using Remote Sensing (RS) and GIS techniques during flood from July 8 to July 15, 2023 …
using Remote Sensing (RS) and GIS techniques during flood from July 8 to July 15, 2023 …
Geospatial mapping and analysis of the 2019 flood disaster extent and impact in the city of ghat in southwestern Libya using google earth engine and deep learning …
HA Zurqani, A Al-Bukhari, AO Aldaikh, KI Elfadli… - … applications of remote …, 2022 - Springer
Flooding impacts from heavy rainfall, thunderstorm, and other natural hazards are a
significant concern in many areas of the world. The objectives of this study were to:(1) …
significant concern in many areas of the world. The objectives of this study were to:(1) …
Hybrid deep learning model for flood frequency assessment and flood forecasting
RP Pandey, M Desai, R Panwar - Multidisciplinary Science Journal, 2023 - malque.pub
The most common and persistent natural hazard to people across the globe is flooding. The
frequency of floods in a given place is defined as the likelihood and intensity of floods …
frequency of floods in a given place is defined as the likelihood and intensity of floods …
Innovative methods for rapid flood inundation mapping in Pul-e-Alam and Khoshi districts of Afghanistan using Landsat 9 images: spectral indices vs. machine …
AW Nab, V Kumar, R Rajapakse - Modeling Earth Systems and …, 2024 - Springer
The year 2022 was among the most disastrous years in Afghanistan including a devastating
flood event on 20th August in the Pul-e-Alam and Khoshi districts of Logar province …
flood event on 20th August in the Pul-e-Alam and Khoshi districts of Logar province …
Development of a spatial framework for flash flood damage assessment and mitigation by coupling analytics of machine learning and household level survey data–A …
U Saeed, M Hussain, R Mukhtar, I Younas, F Ali… - International Journal of …, 2024 - Elsevier
In August 2022, one of the most devastating floods in the history of Pakistan was triggered
due to heavy and exceptionally high monsoon rainfall. It has affected thirty-six million people …
due to heavy and exceptionally high monsoon rainfall. It has affected thirty-six million people …