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Weather and Water: Using Data Science to Create Models and Tools to ...
coastalscience.noaa.gov/project/weather-and-water-using-weather-data-to-create-models-and-tools-to-predict-coastal-impacts/
We will provide scientific information and tools using an array of integrated data sets, and weather–water machine-learning solutions. A full suite of ...
Image Analysis, Artificial Intelligence, and Deep Learning
coastalscience.noaa.gov/science-areas/habitat-mapping-and-characterization/image-analysis-artificial-intelligence-and-deep-learning/
By incorporating machine and deep-learning annotation tools to update the workflow, automation techniques streamline the data analytics tasks ...
[PDF] Machine Learning of Marine Debris - Final Model Report
cdn.coastalscience.noaa.gov/projects-attachments/455/FinalModelReport_MachineLearningofMarineDebris.pdf
Ta bl e o f C o n t e n t s I nt ro d u c t io n 2 Key C h a l l e n ge s 2 Sol ut i on s 2 E ffic ie nt D e t - d 0 Ob j e c t D e t e c t io n Fram e ...
Using Uncrewed Aircraft Systems, Machine Learning, and Polarimetric ...
coastalscience.noaa.gov/project/using-unmanned-aircraft-systems-machine-learning-and-polarimetric-imaging-to-develop-a-system-for-enhanced-marine-debris-detection-and-removal/
Additionally, the team will use machine learning techniques to develop auto-detection and classification capabilities that allow users to easily input ...
Machine Learning Collaboration Yields New Methods to Measure Shoreline ...
coastalscience.noaa.gov/news/machine-learning-collaboration-leads-to-new-methods-to-measure-shoreline-marine-debris/
These open source data, machine learning models, and end-user applications are a critical first step to stimulate research and adoption of machine ...
Geospatial Investigations of Coastal and Great Lakes Ecological ...
coastalscience.noaa.gov/internships/geospatial-investigations-of-coastal-and-great-lakes-ecological-communities-md-nc/
Seeking students with geospatial modeling, computer vision, and/or machine learning capabilities to join a group of exciting, innovative scientists ...
Defining Nationally Consistent Coastal Flood Severity Thresholds
coastalscience.noaa.gov/project/defining-nationally-consistent-coastal-flood-severity-thresholds/
We will use a machine learning–based framework to determine nationally consistent coastal flood severity thresholds beyond unevenly distributed tide ...
Biogeographic assessments A framework for information synthesis in ...
products.coastalscience.noaa.gov/publications/handler.aspx?key=5810
such as machine-learning algorithms and geostatistical modeling to fill data gaps [74,77]. An important focus of BAF is the quantification of ...
Enhancing Habitat Mapping Accuracy and Efficiency Using Artificial ...
coastalscience.noaa.gov/project/enhancing-habitat-mapping-accuracy-and-efficiency-using-artificial-intelligence/
It will also be completed in coordination with NOAA’s Center for Artificial Intelligence and NOAA’s Fisheries Machine Learning and Computer Vision ...
Uncrewed Systems for Mapping - NCCOS - National Centers for Coastal ...
coastalscience.noaa.gov/science-areas/habitat-mapping-and-characterization/uncrewed-systems-for-mapping/
Using Uncrewed Aircraft Systems, Machine Learning, and Polarimetric Imaging to Develop a System for Enhanced Marine Debris Detection and Removal NCCOS ...
Modeling to Support Blue Crab Resilience in Chesapeake Bay
coastalscience.noaa.gov/project/blue-crab-resilience-in-chesapeake-bay/
Understanding and predicting how these threats are impacting the blue crab population is critical for tracking and preparing for future changes and ...
Scientists Use Land Use, Demographics Data to Model Distribution of ...
coastalscience.noaa.gov/news/modeling-coastal-contaminant-distribution-from-land-use-and-demographics/
Using 5 km buffers around each sampling site and existing sampling sites for machine learning training data, the model used Random Forest predictive ...
Researchers Develop Drone-based System to Detect Marine Debris ...
coastalscience.noaa.gov/news/researchers-develop-drone-based-system-to-detect-marine-debris-expedite-clean-up-video/
Next, the team trained a machine-learning computer program to find and classify the debris in the imagery collected. Once fully operational, data ...
Predicting Coral Morphology to Inform the Protective Capacity of Coral ...
coastalscience.noaa.gov/project/predicting-coral-morphology-to-inform-the-protective-capacity-of-coral-reefs-around-saipan-cnmi/
The images will be annotated by a benthic expert, and integrated with the lidar waveform maps using machine learning to develop models predicting the ...
New Methodology Combines Observations from Different Satellites for ...
coastalscience.noaa.gov/news/new-methodology-combines-observations-from-different-satellites-for-coastal-wetland-monitoring/
The new publication describes a “Virtual Constellation” approach using random forest machine learning techniques for integrating observations and ...
Evaluating the Performance of Nature-Based Solutions: A Systematic Map
coastalscience.noaa.gov/news/evaluating-the-performance-of-nature-based-solutions-a-systematic-map/
With assistance from a machine learning algorithm, these results were whittled down to 252 articles that met the eligibility criteria, stemming from ...
Modeling At-Sea Density of Marine Birds to Support Atlantic Marine ...
coastalscience.noaa.gov/data_reports/modeling-at-sea-density-of-marine-birds-to-support-atlantic-marine-renewable-energy-planning-final-report/
An ensemble machine-learning technique, component-wise boosting of hierarchical zero-inflated count models, was used to relate the relative density of ...
NCCOS PROJECT - NCCOS Coastal Science Website
coastalscience.noaa.gov/project/deep-coral-habitat-modeling-atlantic-gulf-mexico/
Using a statistical machine-learning algorithm called maximum entropy (MaxEnt), we are combining databases of known deep-sea coral locations provided ...
Harmful Algal Bloom Community Technology Accelerator
coastalscience.noaa.gov/project/harmful-algal-bloom-community-technology-accelerator/
A negative consequence of this rapid progress is the lack of harmonization of protocols, technical frameworks, and approaches employed between groups ...
Video Gallery - NCCOS - National Centers for Coastal Ocean Science
coastalscience.noaa.gov/nccos-multimedia/video-gallery/
NCCOS and partners are developing a drone-based, machine-learning system to detect and identify marine debris along the coast. Learn more. Artificial ...