How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions
Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …
of environment and water management (EWM). Big Data are information assets …
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 …
The Pakistan flood of August 2022: causes and implications
The risk of floods has increased in South Asia due to high vulnerability and exposure. The
August 2022 Pakistan flood shows a glimpse of the enormity and devastation that can further …
August 2022 Pakistan flood shows a glimpse of the enormity and devastation that can further …
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 …
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 …
Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms
Flood susceptibility maps are useful tool for planners and emergency management
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …
UAV-DEMs for small-scale flood hazard map**
Devastating floods are observed every year globally from upstream mountainous to coastal
regions. Increasing flood frequency and impacts affect both major rivers and their tributaries …
regions. Increasing flood frequency and impacts affect both major rivers and their tributaries …
[HTML][HTML] Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe
Inundation is one of the major natural hazards in Europe. The evaluation of the flood hazard
and risk is not straightforward mainly due to the monitoring system that is poor or not …
and risk is not straightforward mainly due to the monitoring system that is poor or not …
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 …
Flood damage assessment with Sentinel-1 and Sentinel-2 data after Sardoba dam break with GLCM features and Random Forest method
Accurate map** and monitoring of flooded areas are immensely required for disaster
management purposes, such as for damage assessment and mitigation. In this study, the …
management purposes, such as for damage assessment and mitigation. In this study, the …