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Coastal zone management --- Coastal ecology --- Planning. --- National Centers for Coastal Ocean Science (U.S.)
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Coastal zone management --- Coastal ecology --- Planning. --- National Centers for Coastal Ocean Science (U.S.)
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Promotes energy conservation within the federal government.
Pesticides --- Government policy --- Classification. --- standards --- Pesticide --- Agrochemicals --- Economic poisons --- Agricultural chemicals --- Pests --- Poisons --- Control --- Equipment and supplies --- National Centers for Coastal Ocean Science (U.S.) --- United States. --- NCCOS --- NOAA National Centers for Coastal Ocean Science (U.S.) --- Biopesticide --- Evaluation --- Food quality protection act --- Health --- North american free trade agreement --- Occupational safety and health --- Pest control --- Risk --- Risk assessment
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This Special Issue includes papers on physical phenomena, such as wind-driven flows, coastal flooding, and turbidity currents, and modeling techniques, such as model comparison, model coupling, parallel computation, and domain decomposition. These papers illustrate the need for modeling coastal ocean flows with multiple physical processes at different scales. Additionally, these papers reflect the current status of such modeling of coastal ocean flows, and they present a roadmap with numerical methods, data collection, and artificial intelligence as future endeavors.
high performance computing --- HPC --- PETSc --- parallelization --- scalability --- parallel performance --- streams --- curvilinear --- non-hydrostatic --- ocean modeling --- GCCOM --- open boundaries --- domain decomposition --- variational data assimilation --- inverse problems --- shallow water equations --- boundary conditions --- mathematical modelling --- coastal ocean modelling --- computational methods --- hydrodynamic --- modeling --- sea level rise --- mobile application --- app --- crowdsourcing --- SCHISM --- Tidewatch --- StormSense --- Catch the King --- downstream blocking --- compound flooding --- coastal storm surge and inundation --- explosive lateral flooding --- hurricane inland and upland flooding --- coastal modelling --- operational forecasting --- model evaluation --- inter-comparison --- NEMO --- FVCOM --- Ocean Protection Plan --- turbidity current --- suspended sediment --- numerical model --- Gulf of Mexico --- cold front --- Hurricane Barry --- numerical simulation --- subtidal hydrodynamics --- multi-inlet --- volume flux --- multiscale --- multiphysics --- model coupling --- data collection --- machine learning
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This Special Issue includes papers on physical phenomena, such as wind-driven flows, coastal flooding, and turbidity currents, and modeling techniques, such as model comparison, model coupling, parallel computation, and domain decomposition. These papers illustrate the need for modeling coastal ocean flows with multiple physical processes at different scales. Additionally, these papers reflect the current status of such modeling of coastal ocean flows, and they present a roadmap with numerical methods, data collection, and artificial intelligence as future endeavors.
Technology: general issues --- History of engineering & technology --- high performance computing --- HPC --- PETSc --- parallelization --- scalability --- parallel performance --- streams --- curvilinear --- non-hydrostatic --- ocean modeling --- GCCOM --- open boundaries --- domain decomposition --- variational data assimilation --- inverse problems --- shallow water equations --- boundary conditions --- mathematical modelling --- coastal ocean modelling --- computational methods --- hydrodynamic --- modeling --- sea level rise --- mobile application --- app --- crowdsourcing --- SCHISM --- Tidewatch --- StormSense --- Catch the King --- downstream blocking --- compound flooding --- coastal storm surge and inundation --- explosive lateral flooding --- hurricane inland and upland flooding --- coastal modelling --- operational forecasting --- model evaluation --- inter-comparison --- NEMO --- FVCOM --- Ocean Protection Plan --- turbidity current --- suspended sediment --- numerical model --- Gulf of Mexico --- cold front --- Hurricane Barry --- numerical simulation --- subtidal hydrodynamics --- multi-inlet --- volume flux --- multiscale --- multiphysics --- model coupling --- data collection --- machine learning
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This Special Issue includes papers on physical phenomena, such as wind-driven flows, coastal flooding, and turbidity currents, and modeling techniques, such as model comparison, model coupling, parallel computation, and domain decomposition. These papers illustrate the need for modeling coastal ocean flows with multiple physical processes at different scales. Additionally, these papers reflect the current status of such modeling of coastal ocean flows, and they present a roadmap with numerical methods, data collection, and artificial intelligence as future endeavors.
Technology: general issues --- History of engineering & technology --- high performance computing --- HPC --- PETSc --- parallelization --- scalability --- parallel performance --- streams --- curvilinear --- non-hydrostatic --- ocean modeling --- GCCOM --- open boundaries --- domain decomposition --- variational data assimilation --- inverse problems --- shallow water equations --- boundary conditions --- mathematical modelling --- coastal ocean modelling --- computational methods --- hydrodynamic --- modeling --- sea level rise --- mobile application --- app --- crowdsourcing --- SCHISM --- Tidewatch --- StormSense --- Catch the King --- downstream blocking --- compound flooding --- coastal storm surge and inundation --- explosive lateral flooding --- hurricane inland and upland flooding --- coastal modelling --- operational forecasting --- model evaluation --- inter-comparison --- NEMO --- FVCOM --- Ocean Protection Plan --- turbidity current --- suspended sediment --- numerical model --- Gulf of Mexico --- cold front --- Hurricane Barry --- numerical simulation --- subtidal hydrodynamics --- multi-inlet --- volume flux --- multiscale --- multiphysics --- model coupling --- data collection --- machine learning
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The 15th Estuarine and Coastal Modeling Conference provides a venue for commercial, academic, and government scientists and engineers from around the world to present and discuss the latest results and techniques in applied estuarine and coastal modeling. Prospective authors are invited to submit papers on a wide range of topic areas, including:• Pollutant Transport and Water Quality Prediction• Coastal Response to Climate Change• Modeling Techniques and Sensitivity Studies• Model Assessment• Modeling Specific Estuarine and Coastal Systems• Visualization and Analysis• Wave and Sediment Transport Modeling• Modeling of Chemicals and Floatables• Oil Spill Transport and Fate Modeling• Inverse Methods• Circulation Modeling• Facility Siting and CSO Studies• Data Assimilation• Nowcast/Forecast Modeling Systems• Modeling Systems with Strong Buoyancy Forcing• Modeling of Coupled Systems• Risk Analysis (Nuclear Reactors, Flood Forecasting)
water level --- stratification --- Chatham Sound --- wave hindcast --- water level time series --- marine construction --- storm surge --- VDatum --- NARR --- estuarine modeling --- ecosystem simulation --- CFSR --- Sandusky Bay --- hydrodynamic modeling --- river discharge --- tidal datums --- British Columbia --- geospatial data visualization --- ocean modeling --- operational forecast --- numerical model --- initial dilution zone --- Puget Sound --- anthropogenic impact --- Finite Volume Community Ocean Model --- Salish Sea --- hydrodynamic numerical model --- compound events --- sea level rise --- marine --- Finite-Volume Community Ocean Model (FVCOM) --- CE-QUAL-W2 --- CICE --- temperature --- barotropic --- statistical interpolation --- unstructured grid --- wind-driven current --- Salish Sea model --- wave energy --- ADCIRC --- sediment transport --- breakwater --- biophysical modeling --- model calibration --- harbor --- Great Lakes --- multi-level nested-grid modeling --- property-carrying particle model --- spatially varying uncertainty (SVU) --- FVCOM --- phytoplankton --- MIKE21SW --- baroclinic --- tidal currents --- climate change --- operational nowcast and forecast system --- tidal constituent database --- spatially varying uncertainty --- momentum balance --- coastal ocean modeling --- eutrophication --- Hood Canal --- flooding --- coupled models --- environmental assessment --- water quality --- nearshore restoration --- SWAN --- Texas --- H3D --- coastal storm --- floating bridge --- wind forcing --- tidal current --- lateral circulation --- zone of influence --- ADvanced CIRCulation model (ADCIRC) --- non-tidal zones --- agriculture --- sediment model --- short-lived radioisotopes --- coastal and estuarine modeling --- Eastern North Pacific Ocean (ENPAC) --- Gulf of Mexico --- cloud computing --- feasibility assessments --- internal tides --- ice modeling --- salinity --- north-east Gulf of Mexico --- data analysis --- Brown Passage --- WaveWatch III --- marine grid population --- channel deepening --- hydrodynamics --- large-wave hindcast --- western Louisiana --- tides --- estuary --- algal growth kinetics --- circulation --- salt wedge
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Coastal areas are remarkable regions with high spatiotemporal variability. A large population is affected by their physical and biological processes—resulting from effects on tourism to biodiversity and productivity. Coastal ecosystems perform several critical ecosystem services and functions, such as water oxygenation and nutrients provision, seafloor and beach stabilization (as sediment is controlled and trapped within the rhizomes of the seagrass meadows), carbon burial, as areas for nursery, and as refuge for several commercial and endemic species. Knowledge of the spatial distribution of marine habitats is prerequisite information for the conservation and sustainable use of marine resources. Remote sensing from UAVs to spaceborne sensors is offering a unique opportunity to measure, analyze, quantify, map, and explore the processes on the coastal areas at high temporal frequencies. This Special Issue on “Application of Remote Sensing in Coastal Areas” is specifically addresses those successful applications—from local to regional scale—in coastal environments related to ecosystem productivity, biodiversity, sea level rise.
Research & information: general --- Geography --- satellite remote sensing --- Landsat --- coastline --- barrier island --- morphological change --- coastal ocean --- Photon-counting lidar --- MABEL --- land cover --- remote sensing --- signal photons --- ground settlement --- marine reclamation land --- time series InSAR --- Sentinel-1 --- Xiamen New Airport --- Pleiades --- photogrammetry --- LiDAR --- RTK-GPS --- beach topography --- cliff coastlines --- time-series analysis --- terrestrial laser scanner --- southern Baltic Sea --- non-parametric Bayesian network --- satellite-derived bathymetry --- hydrography --- CubeSats --- hypertemporal --- zones of confidence --- PlanetScope --- vegetation mapping --- dunes --- unmanned aerial system --- pixel-based classification --- object-based classification --- dune vegetation classification --- coastal monitoring --- multispectral satellite images --- multi-temporal NDVI --- pixels based supervised classification --- Random Forest --- harmonization --- shoreline mapping --- semi-global subpixel localization --- intensity integral error --- polarimetric SAR --- polarimetric decomposition --- ship detection --- Euclidean distance --- mutual information --- new feature --- Bohai sea ice --- sea ice extent --- OLCI imagery --- sea ice information index --- waterline extraction --- sub-pixel --- surface water mapping --- data cube --- contour extraction --- water extraction --- water indices --- thresholding --- Coastal process --- wind wake --- heat advection --- multi-sensor --- ASAR --- oceanic thermal response --- Hainan Island --- coastal remote sensing --- habitat mapping --- unmanned aerial vehicle (UAV) --- unmanned aircraft system (UAS) --- drone --- object-based image analysis (OBIA) --- UAS data acquisition --- n/a
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Coastal areas are remarkable regions with high spatiotemporal variability. A large population is affected by their physical and biological processes—resulting from effects on tourism to biodiversity and productivity. Coastal ecosystems perform several critical ecosystem services and functions, such as water oxygenation and nutrients provision, seafloor and beach stabilization (as sediment is controlled and trapped within the rhizomes of the seagrass meadows), carbon burial, as areas for nursery, and as refuge for several commercial and endemic species. Knowledge of the spatial distribution of marine habitats is prerequisite information for the conservation and sustainable use of marine resources. Remote sensing from UAVs to spaceborne sensors is offering a unique opportunity to measure, analyze, quantify, map, and explore the processes on the coastal areas at high temporal frequencies. This Special Issue on “Application of Remote Sensing in Coastal Areas” is specifically addresses those successful applications—from local to regional scale—in coastal environments related to ecosystem productivity, biodiversity, sea level rise.
Research & information: general --- Geography --- satellite remote sensing --- Landsat --- coastline --- barrier island --- morphological change --- coastal ocean --- Photon-counting lidar --- MABEL --- land cover --- remote sensing --- signal photons --- ground settlement --- marine reclamation land --- time series InSAR --- Sentinel-1 --- Xiamen New Airport --- Pleiades --- photogrammetry --- LiDAR --- RTK-GPS --- beach topography --- cliff coastlines --- time-series analysis --- terrestrial laser scanner --- southern Baltic Sea --- non-parametric Bayesian network --- satellite-derived bathymetry --- hydrography --- CubeSats --- hypertemporal --- zones of confidence --- PlanetScope --- vegetation mapping --- dunes --- unmanned aerial system --- pixel-based classification --- object-based classification --- dune vegetation classification --- coastal monitoring --- multispectral satellite images --- multi-temporal NDVI --- pixels based supervised classification --- Random Forest --- harmonization --- shoreline mapping --- semi-global subpixel localization --- intensity integral error --- polarimetric SAR --- polarimetric decomposition --- ship detection --- Euclidean distance --- mutual information --- new feature --- Bohai sea ice --- sea ice extent --- OLCI imagery --- sea ice information index --- waterline extraction --- sub-pixel --- surface water mapping --- data cube --- contour extraction --- water extraction --- water indices --- thresholding --- Coastal process --- wind wake --- heat advection --- multi-sensor --- ASAR --- oceanic thermal response --- Hainan Island --- coastal remote sensing --- habitat mapping --- unmanned aerial vehicle (UAV) --- unmanned aircraft system (UAS) --- drone --- object-based image analysis (OBIA) --- UAS data acquisition --- n/a
Choose an application
Coastal areas are remarkable regions with high spatiotemporal variability. A large population is affected by their physical and biological processes—resulting from effects on tourism to biodiversity and productivity. Coastal ecosystems perform several critical ecosystem services and functions, such as water oxygenation and nutrients provision, seafloor and beach stabilization (as sediment is controlled and trapped within the rhizomes of the seagrass meadows), carbon burial, as areas for nursery, and as refuge for several commercial and endemic species. Knowledge of the spatial distribution of marine habitats is prerequisite information for the conservation and sustainable use of marine resources. Remote sensing from UAVs to spaceborne sensors is offering a unique opportunity to measure, analyze, quantify, map, and explore the processes on the coastal areas at high temporal frequencies. This Special Issue on “Application of Remote Sensing in Coastal Areas” is specifically addresses those successful applications—from local to regional scale—in coastal environments related to ecosystem productivity, biodiversity, sea level rise.
satellite remote sensing --- Landsat --- coastline --- barrier island --- morphological change --- coastal ocean --- Photon-counting lidar --- MABEL --- land cover --- remote sensing --- signal photons --- ground settlement --- marine reclamation land --- time series InSAR --- Sentinel-1 --- Xiamen New Airport --- Pleiades --- photogrammetry --- LiDAR --- RTK-GPS --- beach topography --- cliff coastlines --- time-series analysis --- terrestrial laser scanner --- southern Baltic Sea --- non-parametric Bayesian network --- satellite-derived bathymetry --- hydrography --- CubeSats --- hypertemporal --- zones of confidence --- PlanetScope --- vegetation mapping --- dunes --- unmanned aerial system --- pixel-based classification --- object-based classification --- dune vegetation classification --- coastal monitoring --- multispectral satellite images --- multi-temporal NDVI --- pixels based supervised classification --- Random Forest --- harmonization --- shoreline mapping --- semi-global subpixel localization --- intensity integral error --- polarimetric SAR --- polarimetric decomposition --- ship detection --- Euclidean distance --- mutual information --- new feature --- Bohai sea ice --- sea ice extent --- OLCI imagery --- sea ice information index --- waterline extraction --- sub-pixel --- surface water mapping --- data cube --- contour extraction --- water extraction --- water indices --- thresholding --- Coastal process --- wind wake --- heat advection --- multi-sensor --- ASAR --- oceanic thermal response --- Hainan Island --- coastal remote sensing --- habitat mapping --- unmanned aerial vehicle (UAV) --- unmanned aircraft system (UAS) --- drone --- object-based image analysis (OBIA) --- UAS data acquisition --- n/a
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