Faculty

Institution

Unit

Venue

Christopher E. Parrish

Affiliate Professor

University of New Hampshire

Affiliations

School of Marine Science and Ocean Engineering

Christopher E. Parrish is currently serving as a School Of Marine Science And Ocean Engineering Affiliate Professor at University of New Hampshire.

Honors

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Experiences

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Education

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Christopher E. Parrish

University of New Hampshire

Affiliate Professor

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remote sensing earth science oceanography environmental science optical remote sensing earth observation coastal research engineering planetary sciences coastal management earth observation data operational oceanography coastal engineering computer vision marine geology climate change spatial analysis forestry coastal geomorphology physical oceanography hyperspectral imagery unmanned aerial vehicles ocean sciences satellite-derived bathymetry coastal conservation geodesy marine engineering optical engineering satellite imaging surveying uncertainty modeling benthic ecology virginia coast reserve multi-sensor campaign shoreline mapping geophysical research machine vision geoscientific model development aircraft atmospheric measurement technique digital photogrammetry estuaries field observations waveform analysis 3d computer vision sensor technology vegetation science reconnaissance tool full-waveform lidar uas imagery mobile lidar data full-waveform lidar data airport obstructions pavement reflective markings retroreflective signs computational imaging cryosphere vehicular technology sensor calibration sensor applications sensor arrays sensor design planetary geomorphology high elevation ice-water system autonomous driving vehicle localization point cloud processing data fusion predictive modeling hydrological modeling estuarine hydrodynamics optical spectroscopy lidar radiometric processing global science applications empirical comparison marine spatial planning geographical information science urban-coastal interaction physical geography geography coastal change

Notable Scholarly Works

Notable Federal Grants

Collaborators

Analysis of Icesat‐2 Data Acquisition Algorithm Parameter Enhancements to Improve Worldwide Bathymetric Coverage. Earth and Space Science (2024)

James T. DietrichAnn Rackley ReeseAimée GibbonsLori A. MagruderChristopher E. Parrish

data acquisitionspace geodesymachine learningspatial analysisspace scienceremote sensingspatial sciencedata scienceparameter enhancementsearth scienceplanetary sciencesworldwide bathymetric coverageearth observation datadata assimilationgeodesy

A Scalable, Cloud‐Based Workflow for Spectrally‐Attributed Icesat‐2 Bathymetry With Application to Benthic Habitat Mapping Using Deep Learning. Earth and Space Science (2024)

Forrest CorcoranChristopher E. ParrishLori A. MagruderJ. P. Swinski

deep learninglarge-scale datasetsgeoscientific model developmentenvironmental sciencescientific workflow systemspace scienceinformation fusionremote sensingcloud-based workflowdata sciencecloud computingbenthic ecologyearth science

Automated Classification of Valid and Invalid Satellite Derived Bathymetry With Random Forest. International Journal of Applied Earth Observation and Geoinformation (2024)

Matthew B. SharrChristopher E. ParrishJaehoon Jung

data classificationremote sensingrandom forestinvalid satelliteearth scienceearth observation dataearth observation

Development and Analysis of a Global Refractive Index of Water Data Layer for Spaceborne and Airborne Bathymetric Lidar. (2024)

James T DietrichChristopher Parrish

numerical simulationsaerosol scienceoptical propertiesenvironmental scienceenvironmental monitoringsubsidence monitoringearth scienceoptical spectrometeratmospheric researchatmospheric scienceatmospheric measurement techniqueglobal refractive indexsource apportionmenthyperparameter estimationaerospace engineeringoptical remote sensingairborne bathymetric lidarinstrumentationwater data layeroperational oceanographyoptical metrology

Empirical Evaluation and Simulation of Gnss Solutions on Uas-Sfm Accuracy for Shoreline Mapping. Drones (2024)

José A. Pilartes-CongoChase SimpsonMichael J. StarekJacob BerryhillChristopher E. ParrishRichard K. Slocum

global navigation satellite systemaerospace simulationlocalizationnavigationaerospaceshoreline mappingmodeling and simulationdronescontrol systemsunmanned aircraft systemsaerospace systemsempirical evaluationautomatic controlgeographyaerospace engineeringcontrol optimizationsystems engineeringuncrewed aircraft system-structureunmanned systemsaircraft navigationaircraft

Icesat-2 Bathymetry Retrievability Index. Figshare (2024)

James DietrichAnn Rackley ReeseAimée GibbonsLori A. MagruderChristopher E. Parrish

Instance-Based Clustering of Road Markings With Wear and Occlusion From Mobile Lidar Data. Journal of Computing in Civil Engineering (2024)

Jaehoon JungErzhuo CheMichael J. OlsenChristopher E. ParrishYelda TurkanSuhong Yoo

mobile lidar datapattern recognitionengineeringmachine learninginfrastructure engineeringroad markingstransportation engineeringinstance-based clusteringsystems engineeringcomputer visioncivil engineeringconstruction engineering

Simultaneous Invariant Normalization of Waveform Features From Bathymetric Lidar, Sinwav: A Saipan Case Study. ISPRS Journal of Photogrammetry and Remote Sensing (2024)

Jaehoon JungChristopher E. ParrishBryan CostaSuhong Yoo

oceanographyoptical remote sensingbathymetric lidarphysical oceanographysimultaneous invariant normalizationremote sensingwaveform featuresearth science

Dorsl-Fin: A Self-Supervised Neural Network for Recovering Missing Bathymetry From Icesat-2. Photogrammetric Engineering & Remote Sensing (2023)

Forrest CorcoranChristopher E. Parrish

machine learningremote sensingmissing dataimage analysisearth scienceself-supervised neural network

Refraction Correction for Spectrally Derived Bathymetry Using Uas Imagery. Remote Sensing (2023)

Selina E. LambertChristopher E. Parrish

optical remote sensinguas imageryunmanned aerial vehiclesforestryremote sensingrefraction correctionimage analysisearth scienceearth observation

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Christopher E. Parrish

Affiliate Professor

University of New Hampshire

Affiliations

School of Marine Science and Ocean Engineering

Christopher E. Parrish is currently serving as a School Of Marine Science And Ocean Engineering Affiliate Professor at University of New Hampshire.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Christopher E. Parrish

University of New Hampshire

Affiliate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Analysis of Icesat‐2 Data Acquisition Algorithm Parameter Enhancements to Improve Worldwide Bathymetric Coverage. Earth and Space Science (2024)

James T. DietrichAnn Rackley ReeseAimée GibbonsLori A. MagruderChristopher E. Parrish

A Scalable, Cloud‐Based Workflow for Spectrally‐Attributed Icesat‐2 Bathymetry With Application to Benthic Habitat Mapping Using Deep Learning. Earth and Space Science (2024)

Forrest CorcoranChristopher E. ParrishLori A. MagruderJ. P. Swinski

Automated Classification of Valid and Invalid Satellite Derived Bathymetry With Random Forest. International Journal of Applied Earth Observation and Geoinformation (2024)

Matthew B. SharrChristopher E. ParrishJaehoon Jung

data classificationremote sensingrandom forestinvalid satelliteearth scienceearth observation dataearth observation

Development and Analysis of a Global Refractive Index of Water Data Layer for Spaceborne and Airborne Bathymetric Lidar. (2024)

James T DietrichChristopher Parrish

Empirical Evaluation and Simulation of Gnss Solutions on Uas-Sfm Accuracy for Shoreline Mapping. Drones (2024)

José A. Pilartes-CongoChase SimpsonMichael J. StarekJacob BerryhillChristopher E. ParrishRichard K. Slocum

Icesat-2 Bathymetry Retrievability Index. Figshare (2024)

James DietrichAnn Rackley ReeseAimée GibbonsLori A. MagruderChristopher E. Parrish

Instance-Based Clustering of Road Markings With Wear and Occlusion From Mobile Lidar Data. Journal of Computing in Civil Engineering (2024)

Jaehoon JungErzhuo CheMichael J. OlsenChristopher E. ParrishYelda TurkanSuhong Yoo

Simultaneous Invariant Normalization of Waveform Features From Bathymetric Lidar, Sinwav: A Saipan Case Study. ISPRS Journal of Photogrammetry and Remote Sensing (2024)

Jaehoon JungChristopher E. ParrishBryan CostaSuhong Yoo

oceanographyoptical remote sensingbathymetric lidarphysical oceanographysimultaneous invariant normalizationremote sensingwaveform featuresearth science

Dorsl-Fin: A Self-Supervised Neural Network for Recovering Missing Bathymetry From Icesat-2. Photogrammetric Engineering & Remote Sensing (2023)

Forrest CorcoranChristopher E. Parrish

machine learningremote sensingmissing dataimage analysisearth scienceself-supervised neural network

Refraction Correction for Spectrally Derived Bathymetry Using Uas Imagery. Remote Sensing (2023)

Selina E. LambertChristopher E. Parrish

optical remote sensinguas imageryunmanned aerial vehiclesforestryremote sensingrefraction correctionimage analysisearth scienceearth observation

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Similar Faculty Members

Michael Starek

Institution

Texas A&M University–Corpus Christi

geographical information science

geocomputation

Curt Davis

Institution

University of Missouri

remote sensing

earth science

Christopher Parrish

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Oregon State University

coastal management

earth science

David Shean

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remote sensing

snow depth

Xiao-Hai Yan

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air-sea interaction

Mark Everett

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geophysics

Helena Mitasova

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Larry Mayer

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geography

Vasit Sagan

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remote sensing

geocomputation

Thomas Oommen

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natural disaster

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