A5012083101- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Tropical and Extratropical Cyclones Research
- Precipitation Measurement and Analysis
- Remote Sensing and LiDAR Applications
- Hydrological Forecasting Using AI
- Meteorological Phenomena and Simulations
- Coastal and Marine Dynamics
- Hydrology and Drought Analysis
- Urban Heat Island Mitigation
- Coastal and Marine Management
- Climate variability and models
- Water resources management and optimization
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Advanced Image Fusion Techniques
- Water Quality Monitoring Technologies
- Scientific Computing and Data Management
- Water-Energy-Food Nexus Studies
- Remote Sensing in Agriculture
Deltares
2016-2024
Abstract. Coastal river deltas are susceptible to flooding from pluvial, fluvial, and coastal flood drivers. Compound floods, which result the co-occurrence of two or more these drivers, typically exacerbate impacts compared floods a single driver. While several global models have been developed, do not account for compound flooding. Local-scale provide state-of-the-art analyses but hard scale other regions as based on local datasets. Hence, there is need globally applicable hazard modeling....
Abstract Coastal elevation data are essential for a wide variety of applications, such as coastal management, flood modelling, and adaptation planning. Low-lying areas (found below 10 m +Mean Sea Level (MSL)) at risk future extreme water levels, subsidence changing weather patterns. However, current freely available datasets not sufficiently accurate to model these risks. We present DeltaDTM, global Digital Terrain Model (DTM) in the public domain, with horizontal spatial resolution 1...
Satellite remote sensing plays an important role in the monitoring of surface water for historical analysis and near real-time applications. Due to its cloud penetrating capability, many studies have focused on providing efficient high quality methods mapping using Synthetic Aperture Radar (SAR). However, few explored effects SAR pre-processing steps used subsequent results as inputs into algorithms. This study leverages Google Earth Engine compare two unsupervised histogram-based...
Satellite remote sensing plays an important role in mapping the location and extent of surface water. A variety approaches are available for water, but deep learning not commonplace as they 'data hungry' require large amounts computational resources. However, with availability various satellite sensors rapid development cloud computing, scientific community is adapting modern approaches. The new integration cloud-based Google AI platform Earth Engine enables users to deploy calculations at...
Climate change, increasing population and changes in land use are all rapidly driving the need to be able better understand surface water dynamics. The targets set by United Nations under Sustainable Development Goal 6 relation freshwater ecosystems also make accurate monitoring increasingly vital. However, last decades have seen a steady decline situ hydrological availability of growing volume environmental data from free open satellite systems is being recognized as an essential tool for...
Climate change is affecting the global water, energy and carbon cycle resulting in more severe hydrometeorological events with societal impact (e.g. precipitation, floods, droughts). Decision support systems for operational or planning purposes are essential to accurately predict monitor environmental disasters, optimally manage water resources now future. The Digital Twin Component (DTC) Hydrology Next project focuses on solutions monitoring simulations forecasting, it requires...
Abstract. Large-scale flood events often show spatial correlation in neighbouring basins, and thus can affect adjacent basins simultaneously, as well result superposition of different peaks. Such therefore need to be addressed with large-scale modelling approaches capture these processes. Many currently place are based on either a hydrologic or hydrodynamic model. However, the resulting lack interaction between hydrology hydrodynamics, for instance, by implementing groundwater infiltration...
The Floodwater Depth Estimation Tool (FwDET) calculates water depth from a remote sensing-based inundation extent layer and Digital Elevation Model (DEM). FwDET’s low data requirement high computational efficiency allow rapid large-scale calculation of floodwater depth. Local biases in FwDET predictions, often manifested as sharp transitions or stripes the raster, can be attributed to spatial resolution mismatches between map DEM. To alleviate these artifacts, we are introducing boundary...
Optical satellite-derived surface water monitoring is challenging because of the spatial gaps in images caused by clouds, cloud shadows, voids, etc. Here, an efficient method for filling time-series proposed, based on spatiotemporal characteristics water. This utilises accurately classified historical ternary (gap, water, non-water) or binary (water, image and clear part gap image. Pixels with values 0 1 same period occurrence are first used to correct The neighbourhood similarity then...
High spatio–temporal resolution remote sensing images are of great significance in the dynamic monitoring Earth’s surface. However, due to cloud contamination and hardware limitations sensors, it is difficult obtain image sequences with both high spatial temporal resolution. Combining coarse images, such as moderate imaging spectroradiometer (MODIS), fine Landsat or Sentinel-2, has become a popular means solve this problem. In paper, we propose simple efficient enhanced linear regression...
Abstract. Large-scale flood events often show spatial correlation in neighbouring basins, and thus can affect adjacent basins simultaneously, as well result superposition of different peaks. Consequently, such need to be addressed with large-scale modelling approaches capture these processes. Many currently place are based on either a hydrologic or hydrodynamic model. However, the resulting lack interaction between hydrology hydrodynamics processes, by for instance implementing groundwater...
An adequate compute and storage infrastructure supporting the full exploitation of Copernicus Earth Observation datasets is currently not available in Europe. This paper presents cross-disciplinary open-source technologies being leveraged C-SCALE project to develop an open federation data providers as alternative monolithic infrastructures for processing analysing data. Three critical aspects chosen are elaborated upon: (1) federated discovery, (2) access (3) software distribution. With...
<p>Floods and water-related disasters impact local populations across many regions in Southeast Asia during the annual monsoon season.  Satellite remote sensing serves as a critical resource for generating flood maps used disaster efforts to evaluate extent monitor recovery isolated where information is limited.  However, these data are retrieved by multiple sensors, have varying latencies, spatial, temporal, radiometric resolutions, distributed...
<p>Improving our understanding of hydrological processes beyond single catchments is important. Here we test wflow_sbm (simple bucket model) for modelling hydrology across different geographical areas (i.e. Europe, Africa).  Wflow_sbm a conceptual bucket-style model based on simplified physical relationships. It uses kinematic wave surface and subsurface routing lateral transport. The setup parameter estimation are fully automated global regional data sources (like...
<p>In this contribution we present the wflow_sbm hydrologic model concept, which is a conceptual bucket-style based on simplified physical relationships including kinematic wave routing for surface and subsurface lateral flow. The maximizes use of global data local applications allows us to automatically setup high resolution (~1km<sup>2</sup>) any basin in world. For most discharge gauging stations selected basins from different climate zones,...
<p>Traditional flood risk studies often focus on direct economic impact, such as property damage or agricultural loss. However, the impact of floods is not limited to these damages. In fact societal costs and/or cascading effects are much higher than floods. Cascading effects, access healthcare and infrastructure accessibility vital components for efficient emergency response management. This requires methodologies quickly analyze large-scale...