| 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 | 376 | 2015 |
| 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 | 132 | 2014 |
| 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 | 109 | 2012 |
| 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 | 98 | 2013 |
| 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 | 90 | 2018 |
| 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 | 68 | 2010 |
| 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 | 53 | 2018 |
| 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 | 43 | 2007 |
| 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 | 22 | 1999 |
| 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 | 16 | 1999 |
| 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 | 10 | 2012 |
| 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 | 4 | 2011 |
| 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 | 3 | 2015 |
| HyperInSPACE Community Processor (HyperCP) standardizes in situ above water radiometry processing including end-to-end uncertainties in compliance with protocols and Fiducial … D Aurin, JI Gossn, A Bialek, A Ramsey, N Haëntjens, M Costa, A Deru 2024 Ocean Sciences Meeting, 2024 | | 2024 |
| 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, 1336494, 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 |
| Integration of Coastal Water Quality Observations and Models to Inform Resource Managers and Decision-makers S Schollaert Uz, T Ames, B Clark, D Aurin, SL Smith AGU Fall Meeting Abstracts 2023 (1574), OS31A-1574, 2023 | | 2023 |
| Multifaceted validation of PACE Mission data products KD Knobelspiesse, D Aurin, B Cairns, I Cetinic, SE Craig, BA Franz, ... AGU Fall Meeting Abstracts 2023, GC14C-07, 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 |
Bryan FranzNASAVerified email at nasa.gov
