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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 ...
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 ...
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 ...
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 ...
Uncrewed Systems for Mapping - NCCOS Coastal Science Website
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 ...
Developing a Machine Learning-Based, High Resolution, Predictive ...
coastalscience.noaa.gov/project/developing-a-machine-learning-based-high-resolution-predictive-capacity-for-monitoring-paralytic-shellfish-toxins-along-the-gulf-of-maine-coastline/
An automated data pipeline will generate a machine learning-based PST forecast for 30+ specific locations along the Maine coastline from HPLC-based ...
Climate Indicators and Blue Crab Resilience in Chesapeake Bay
coastalscience.noaa.gov/project/climate-indicators-and-blue-crab-resilience-in-chesapeake-bay/
Chesapeake Bay resources, including the indigenous blue crab (Callinectes sapidus), are facing multiple climate- and weather-related threats ...
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 ...
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 ...
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 ...
Scientists Use Land Use, Demographics Data to Model Distribution of ...
coastalscience.noaa.gov/news/modeling-coastal-contaminant-distribution-from-land-use-and-demographics/
Two new publications describe how NCCOS scientists are developing and testing machine-learning models to predict contamination along the coast based ...
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 ...
Geospatial Investigations of Coastal and Great Lakes Ecological ...
coastalscience.noaa.gov/internships/geospatial-investigations-of-coastal-and-great-lakes-ecological-communities-2/
Seeking students with geospatial modeling, computer vision, and/or machine learning capabilities to join a group of exciting, innovative scientists ...
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 ...
Using passive acoustics to monitor sea turtle bycatch in trawl ...
coastalscience.noaa.gov/internships/using-passive-acoustics-to-monitor-sea-turtle-bycatch-in-trawl-fisheries/
With the advent of Machine Learning (ML) and Artificial Intelligence (AI), we want to explore the potential to use acoustics to detect sea turtle ...
Weather and Water: Using weather data 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/
Understanding and predicting climate-related issues along coastlines is important for management and coastal resiliency. We provide scientific ...
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 ...
Understanding HABs Under Climate Change Requires New Models
coastalscience.noaa.gov/news/understanding-habs-under-climate-change-requires-new-models/
Emerging model types such as machine-learning (artificial neural network) approaches allow the torrent of new genomic data to be incorporated in ...