An integrated approach for post-disaster flood management via the use of cutting-edge technologies and UAVs: A review

HS Munawar, AWA Hammad, ST Waller, MJ Thaheem… - Sustainability, 2021 - mdpi.com
Rapid advances that improve flood management have facilitated the disaster response by
providing first aid services, finding safe routes, maintaining communication and developing …

Synthetic aperture radar for geosciences

L Meng, C Yan, S Lv, H Sun, S Xue, Q Li… - Reviews of …, 2024 - Wiley Online Library
Abstract Synthetic Aperture Radar (SAR) has emerged as a pivotal technology in
geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide …

An ai/ml-based strategy for disaster response and evacuation of victims in aged care facilities in the Hawkesbury-Nepean Valley: A perspective

HS Munawar, M Mojtahedi, AWA Hammad, MJ Ostwald… - Buildings, 2022 - mdpi.com
The Hawkesbury-Nepean Valley, Australia's longest coastal catchment, is spanned by a
river system of more than 470 km, that runs from Goulburn to Broken Bay, covering a total …

Selfs2: Self-supervised transfer learning for sentinel-2 multispectral image super-resolution

X Qian, TX Jiang, XL Zhao - IEEE Journal of Selected Topics in …, 2022 - ieeexplore.ieee.org
The multispectral image captured by the Sentinel-2 satellite contains 13 spectral bands with
different resolutions, which may hider some of the subsequent applications. In this article, we …

Development of a method for urban flooding detection using unstructured data and deep learing

H Lee, HS Kim, S Kim, D Kim, J Kim - Journal of Korea Water …, 2021 - koreascience.kr
In this study, a model was developed to determine whether flooding occurred using image
data, which is unstructured data. CNN-based VGG16 and VGG19 were used to develop the …

Reviewing flood susceptibility mapping utilizing machine learning: insights and prospects for future research

P Mishra, SK Prasad - 2024 3rd International Conference on …, 2024 - ieeexplore.ieee.org
Over the past decade, the utilization of machine learning for flood forecasting has
experienced significant growth, propelled by advancements in high-performance computing …

Vision Transformer for Flood Detection Using Satellite Images from Sentinel-1 and Sentinel-2

I Chamatidis, D Istrati, ND Lagaros - Water, 2024 - mdpi.com
Floods are devastating phenomena that occur almost all around the world and are
responsible for significant losses, in terms of both human lives and economic damages …

FCM with Spatial Constraint Multi-Kernel Distance-Based Segmentation and Optimized Deep Learning for Flood Detection

RS Prasad, JR Prasad, BS Chaudhari… - … Journal of Image and …, 2024 - World Scientific
Floods are the deadly and catastrophic disasters, causing loss of life and harm to assets,
farmland, and infrastructure. To address this, it is necessary to devise and employ an …

Flood detection using SAR images: A review

LG Pillai, D Dolly - AIP Conference Proceedings, 2024 - pubs.aip.org
Satellites and their radar technology are pivotal in the monitoring of floods. Radar data
shows stagnant water areas as dark, providing a sharp contrast with non-water regions …

Fine scale mapping of fractional tree canopy cover to support river basin management

S Gao, P Castellazzi, RW Vervoort… - Hydrological …, 2021 - Wiley Online Library
Management of water, regionally, nationally and globally will continue to be a priority and
complex undertaking. In riverine systems, biotic components like flora and fauna play critical …