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Dirk Aurin
Dirk Aurin
NASA Goddard Space Flight Center
Verified email at nasa.gov
Title
Cited by
Cited by
Year
Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions
CB Mouw, S Greb, D Aurin, PM DiGiacomo, Z Lee, M Twardowski, ...
Remote sensing of environment 160, 15-30, 2015
3452015
Algorithm development and validation of CDOM properties for estuarine and continental shelf waters along the northeastern US coast
A Mannino, MG Novak, SB Hooker, K Hyde, D Aurin
Remote Sensing of Environment 152, 576-602, 2014
1252014
Advantages and limitations of ocean color remote sensing in CDOM-dominated, mineral-rich coastal and estuarine waters
DA Aurin, HM Dierssen
Remote Sensing of Environment 125, 181-197, 2012
1042012
Spatially resolving ocean color and sediment dispersion in river plumes, coastal systems, and continental shelf waters
D Aurin, A Mannino, B Franz
Remote Sensing of Environment 137, 212-225, 2013
932013
Machine learning applications for earth observation
DJ Lary, GK Zewdie, X Liu, D Wu, E Levetin, RJ Allee, N Malakar, ...
Earth observation open science and innovation 165, 2018
782018
Optical complexity in Long Island Sound and implications for coastal ocean color remote sensing
DA Aurin, HM Dierssen, MS Twardowski, CS Roesler
Journal of Geophysical Research: Oceans 115 (C7), 2010
652010
Residual circulation in eastern Long Island Sound: Observed transverse-vertical structure and exchange transport
DL Codiga, DA Aurin
Continental Shelf Research 27 (1), 103-116, 2007
432007
Remote sensing of CDOM, CDOM spectral slope, and dissolved organic carbon in the global ocean
D Aurin, A Mannino, DJ Lary
Applied Sciences 8 (12), 2687, 2018
402018
An evaluation of hurricane-induced erosion along the North Carolina coast using airborne LIDAR surveys
AW Meridith, DL Eslinger, D Aurin
Coastal Services Center, 1999
221999
An evaluation of hurricane-induced erosion along the North Carolina coast using airborne LIDAR surveys. NOAA Coastal Services Center Tech. Rep
AW Meredith, D Eslinger, D Aurin
NOAA/CSC/99031-PUB/001, 1999
161999
A database for developing global ocean color algorithms for colored dissolved organic material, CDOM spectral slope, and dissolved organic carbon
D Aurin, A Mannino
The Oceanography Society, Glasgow, UK, 2012
92012
Developing ocean color remote sensing algorithms for retrieving optical properties and biogeochemical parameters in the optically complex waters of Long Island Sound
DA Aurin
University of Connecticut, 2011
42011
Aquatic radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions
CB Muow, S Greb, D Aurin, PM DiGiacomo, Z Lee, M Twardowski, ...
Remote Sens. Environ 160, 15-30, 2015
32015
AVW and QWIP: Hyperspectral Metrics to Assess Spectral Data Quality and Ecosystem Variability
HM Dierssen, R Vandermeulen, H Frye, E Scrivner, D Aurin
2024 Ocean Sciences Meeting, 2024
2024
Superyachts could support satellite ocean colour validation
RJW Brewin, X Sun, DA Aurin, JJ Viljoen, C Walsh, S Sathyendranath
Frontiers in Remote Sensing, 5, 2024
2024
Integration of Coastal Water Quality Observations and Models to Inform Resource Managers and Decision-makers
SS Uz, T Ames, B Clark, D Aurin, SL Smith
AGU23, 2023
2023
Multifaceted validation of PACE Mission data products
KD Knobelspiesse, D Aurin, B Cairns, I Cetinic, SE Craig, BA Franz, ...
AGU23, 2023
2023
Deep Learning for Environmental and Ecological Prediction, Evaluation and Insight With Ensembles of Water Quality (Deep-View)
SS Uz, T Ames, JB Clark, D Aurin
Advanced Information Systems Technology (AIST) Grouped Annual Project Reviews, 2023
2023
Integration of satellite and in situ observations into machine learning for coastal water quality
S Schollaert Uz, TJ Ames, J Blake Clark, D Aurin
EGU General Assembly Conference Abstracts, EGU-17532, 2023
2023
Integration of satellite and in situ observations into machine learning for coastal water quality
SS Uz, TJ Ames, JB Clark, D Aurin
EGU23, 2023
2023
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