A review on flood management technologies related to image processing and machine learning

HS Munawar, AWA Hammad, ST Waller - Automation in Construction, 2021 - Elsevier
Flood management, which involves flood prediction, detection, map**, evacuation, and
relief activities, can be improved via the adoption of state-of-the-art tools and technology …

[HTML][HTML] Detection of surface water and floods with multispectral satellites

C Albertini, A Gioia, V Iacobellis, S Manfreda - Remote Sensing, 2022 - mdpi.com
The use of multispectral satellite imagery for water monitoring is a fast and cost-effective
method that can benefit from the growing availability of medium–high-resolution and free …

Fast flood extent monitoring with SAR change detection using google earth engine

E Hamidi, BG Peter, DF Muñoz… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] An exploratory study of Sentinel-1 SAR for rapid urban flood map** on Google Earth Engine

MT Islam, Q Meng - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Abstract Real-time, near-real-time, and accurate flood extent information is critical for
emergency response during disaster events such as floods. Accurate extents are critical for …

Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine

M Singha, J Dong, S Sarmah, N You, Y Zhou… - ISPRS Journal of …, 2020 - Elsevier
Globally, flooding is the leading cause of natural disaster related deaths, especially in
Bangladesh where approximately one third of national area gets flooded annually by …

From local to regional compound flood map** with deep learning and data fusion techniques

DF Muñoz, P Muñoz, H Moftakhari… - Science of the Total …, 2021 - Elsevier
Compound flooding (CF), as a result of oceanic, hydrological, meteorological and
anthropogenic drivers, is often studied with hydrodynamic models that combine either …

Assessing sustainable development prospects through remote sensing: A review

R Avtar, AA Komolafe, A Kouser, D Singh… - … Society and environment, 2020 - Elsevier
The Earth's ecosystems face severe environmental stress from unsustainable
socioeconomic development linked to population growth, urbanization, and industrialization …

An ANN-based emulation modelling framework for flood inundation modelling: Application, challenges and future directions

H Chu, W Wu, QJ Wang, R Nathan, J Wei - Environmental Modelling & …, 2020 - Elsevier
Hydrodynamic models are commonly used to understand flood risk and inform flood
management decisions. However, their high computational cost can impose practical limits …

[HTML][HTML] An integrated evaluation of the national water model (NWM)–Height above nearest drainage (HAND) flood map** methodology

JM Johnson, D Munasinghe… - Natural Hazards and …, 2019 - nhess.copernicus.org
Flood maps are needed for emergency response, research, and planning. The Height
Above Nearest Drainage (HAND) technique is a low-complexity, terrain-based approach for …

Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility map** in transboundary river basin

Y Bhattarai, S Duwal, S Sharma… - International Journal of …, 2024 - Taylor & Francis
Floods pose devastating effects on the resiliency of human and natural systems. flood risk
management challenges are typically complicated in the transboundary river basin due to …