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A review on flood management technologies related to image processing and machine learning
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
Compound flooding (CF), as a result of oceanic, hydrological, meteorological and
anthropogenic drivers, is often studied with hydrodynamic models that combine either …
anthropogenic drivers, is often studied with hydrodynamic models that combine either …
Assessing sustainable development prospects through remote sensing: A review
The Earth's ecosystems face severe environmental stress from unsustainable
socioeconomic development linked to population growth, urbanization, and industrialization …
socioeconomic development linked to population growth, urbanization, and industrialization …
An ANN-based emulation modelling framework for flood inundation modelling: Application, challenges and future directions
Hydrodynamic models are commonly used to understand flood risk and inform flood
management decisions. However, their high computational cost can impose practical limits …
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
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 …
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
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 …
management challenges are typically complicated in the transboundary river basin due to …