My career has focused on ocean color remote sensing research since 1998 in a number of settings including government laboratories, the private sector, and academia.
Observing and modeling transverse-vertical structure, residual circulation, and exchange transport in Long Island Sound from a multi-year ferry observatory.
Developing ocean color remote sensing algorithms for the retrieval of inherent optical properties in the complex waters of Long Island Sound.
This research focused on overcoming the many hurdles in retrieving accurate ocean color from legacy satellite instruments such as MODIS and SeaWiFS in complex, turbid, near-shore waters. Specialized atmospheric correction approaches were introduced and validated in target regions including the Amazon River Plume, Chesapeake Bay, Mississippi River Plume, and the Yangtze River Plume, and scales of variability in bio-optical properties were evaluated for making recommendations on spatial resolution of future missions.
A Global Ocean Carbon Algorithm Database (GOCAD) was been developed from over 500 oceanographic field campaigns conducted worldwide over the past 30 years including in situ reflectances and coincident satellite imagery, Chromophoric Dissolved Organic Matter (CDOM) absorption coefficients, CDOM spectral slopes, dissolved and particulate organic carbon (DOC and POC, respectively), and inherent optical, physical, and biogeochemical properties. Algorithms for the remote sensing of CDOM, CDOM spectral slope, and dissolved organic carbon (DOC) in the global ocean were developed using in situ reflectances, and validated with satellite match-ups of MODIS and SeaWiFS imagery.
Develop modular, open-source, platform independent software for quality control and processing of autonomous, in situ, above-water radiometry. Radiometry is to be processed using the latest protocols and research in above-water methodologies including incorporation of hyperspectral (ir)radiances and sky/sun glint corrections, polarization, and comprehensive solar-sensor geometry, meteorological flag, and ship attitude filtering. HyperInSPACE will be applied to research topics including processing backlogs of HyperSAS data from oceanographic cruises between 2015 and 2019, ocean color product algorithm development, and orbital platform validation.
Evaluate the utility of high spatial resolution commercially available satellite data for conducting ocean color research.
Conduct research directed at understanding ocean optics, biogeochemistry and ecosystem dynamics including high spatial and temporal variability. This research will emphasize the marine carbon cycle and the interactions and feedbacks between biological (e.g., primary production), chemical (e.g., organic carbon and nutrient balances and fluxes), and physical processes (river discharge, mixed layer dynamics, circulation, etc.) and entails working with optical and chemical field data sets, satellite data products from various sensors, and model results. The scope of the work includes processing and analysis of in situ radiometric measurements, satellite data processing and analysis, and radiative transfer simulations. Research activities involve the development and evaluation of satellite products for existing satellite sensors and in preparation for the PACE mission and participation in field campaigns. This research is conducted in support of the NASA Ocean Biology and Biogeochemistry Program.
Oceanography and ocean color remote sensing focused on high spatial resolution satellite algorithms for complex optical systems, global river sediment discharge, deep ocean dissolved carbon retrievals and climatology using current and historic satellite and in situ mission data. Analytical and field support for the GEOCAPE mission to develop a NASA hyperspectral geostationary ocean color satellite, and other missions.
Analytical and field research developing and optimizing ocean color algorithms for remote sensing applications in Long Island Sound including synoptic retrievals of inherent optical properties, chlorophyll concentration, and total suspended materials from satellite imagery.
Developing ferry-based observatory for water quality and exchange transport at the mouth of Long Island Sound. Field and analytical support for research into vertical structure and residual circulation.
Establish satellite-based communications, database archiving and near-realtime web distribution for a moored water quality platform associated with MERHAB Florida.
Coordination of projects for coastal remote sensing and GIS applications. Data processing and analysis associated with remote sensing applications including LIDAR beach mapping, HAB forecasting, ocean color algorithm evaluation, instrument development, and coastal land use change. Web and CD-ROM development for outreach to resource managers.
One year Bilateral Undergraduate Research Exchange investigating Rs-CVN-type variable stars and support in the refurbishment of the Etelman Observatory in St. Thomas, USVI.
University of Connecticut at Avery Point
2007 Fall, 2008 Fall, 2009 Fall: General Physics with Calculus Laboratory
2007 Fall, 2008 Fall, 2009 Fall: General Physics Laboratory
University of Connecticut
Department of Marine Sciences
Ph.D., Oceanography, December 2010
Advisory Committee: Heidi M. Dierssen, Hans Dam, James Edson, Micheal Twardowski
Thesis: Developing ocean color remote sensing algorithms for retrieving inherent optical properties and biogeochemical parameters in the optically complex waters of Long Island Sound.
Cornell University
Satellite Remote Sensing in Oceanography 2008
Instructor: Bruce Monger
A course teaching the skills needed to work independently to acquire, analyze and visualize data sets derived from a variety of satellite sensors (e.g., SeaWiFS, MODIS, MERIS, VIIRS, OLI on Landsat-8, OLCI on Sentinal-3, AVHRR, SeaWinds, SSM/I and AVISO Merged Altimetry).
University of Maine
Darling Marine Center
Ocean Optics, Radiative Transfer 2004
Instructors: Emmanuel Boss, Curt Mobley, Colin Roesler, Mary Jane Perry
Two intensive courses covering the fundamentals of coastal and ocean optics emphasizing instrumentation, radiative transfer theory and the use of Hydrolight, ocean color remote rensing, polarization, particle size distribution, statistical methods including neural networks, and the links between optical measurements and the underlying biogeochemistry.
University of Charleston
Department of Physics and Astronomy
B.S., Physics with Astronomy Concentration, June 1998
Magna Cum Laude
Advisor: Donald M. Drost
Peer Reviewer: Remote Sensing of Environment, Applied Optics, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Journal of Applied Remote Sensing, Optics Express, PLOS ONE
Peer Panel Reviewer: NASA ROSES
Session Co-chair: International Ocean Colour Science Meeting, 2019
2020: Hydrosphere, Biosphere, and Geophysics (HBG) Annual Peer Award for HyperInSPACE
2020: NASA Robert H Goddard Award for contributions to PACE
2013: HOBI award for outstanding work in support of Hydrospheric and Biospheric Sciences within NASA/GSFC Earth Sciences Division
2013: SSAI Publication Award
2012: SSAI Publication Award
2008: University of Connecticut, Doctoral Dissertation Fellowship
2008: Marine Sciences Excellence in Research
2007: UConn Department of Marine Sciences Predoctoral Award
2004: US DoD National Defense Science and Engineering Graduate Fellowship
2004: University of Maine NASA & ONR Funding Award
2004: UConn Department of Marine Sciences Predoctoral Award
1998: Elected to Phi Kappa Phi & Golden Key National Honor Societies
1997: NASA Space Grant
1994-1998: University of Charleston – Magna Cum Laude
Coming soon.
; Graduate FellowInvestigating Rs-CVN-type variable stars and support in the refurbishment of the Etelman
Observatory in St. Thomas, USVI.
Monitoring water quality in the Chesapeake Bay through integration of high resolution commercial satellite data with other remote sensing and in situ data.
; Co-Investigator2014-2018: Circumnavigation of the world (~69,000 km) under sail as Captain of 20 ton ketch S/V “Peregrine” by way of the Panama Canal, the Torres Straits, and around the Cape of Good Hope.
Aurin, D., A. Mannino, and D. Lary. 2018. "Remote Sensing of CDOM, CDOM Spectral Slope, and Dissolved Organic Carbon in the Global Ocean." Applied Sciences, 8 (12): 2687 [10.3390/app8122687]
Mouw, C. B., S. Greb, D. Aurin, et al. P. M. DiGiacomo, Z. Lee, M. Twardowski, C. Binding, C. Hu, R. Ma, T. Moore, W. Moses, and S. E. Craig. 2015. "Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions." Remote Sensing of Environment, 160: 15-30 [10.1016/j.rse.2015.02.001]
Mannino, A., M. G. Novak, S. B. Hooker, K. Hyde, and D. Aurin. 2014. "Algorithm development and validation of CDOM properties for estuarine and continental shelf waters along the northeastern U.S. coast." Remote Sensing of Environment, 152: 576–602 [10.1016/j.rse.2014.06.027]
Aurin, D., A. Mannino, and B. Franz. 2013. "Spatially resolving ocean color and sediment dispersion in river plumes, coastal systems, and continental shelf waters." Remote Sensing of Environment, 137: 212–225 [10.1016/j.rse.2013.06.018]
Aurin, D. A., and M. Dierssen. 2012. "Advantages and limitations of ocean color remote sensing in CDOM-dominated, mineral-rich coastal and estuarine waters." Remote Sensing of Environment, 125: 181-197 [10.1016/j.rse.2012.07.001]
My career has focused on ocean color remote sensing research since 1998 in a number of settings including government laboratories, the private sector, and academia.
Aurin, D., A. Mannino, and D. Lary. 2018. "Remote Sensing of CDOM, CDOM Spectral Slope, and Dissolved Organic Carbon in the Global Ocean." Applied Sciences 8 (12): 2687 [10.3390/app8122687]
Mouw, C. B., S. Greb, D. Aurin, et al. P. M. DiGiacomo, Z. Lee, M. Twardowski, C. Binding, C. Hu, R. Ma, T. Moore, W. Moses, and S. E. Craig. 2015. "Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions." Remote Sensing of Environment 160 15-30 [10.1016/j.rse.2015.02.001]
Mannino, A., M. G. Novak, S. B. Hooker, K. Hyde, and D. Aurin. 2014. "Algorithm development and validation of CDOM properties for estuarine and continental shelf waters along the northeastern U.S. coast." Remote Sensing of Environment 152 576–602 [10.1016/j.rse.2014.06.027]
Aurin, D., A. Mannino, and B. Franz. 2013. "Spatially resolving ocean color and sediment dispersion in river plumes, coastal systems, and continental shelf waters." Remote Sensing of Environment 137 212–225 [10.1016/j.rse.2013.06.018]
Aurin, D. A., and M. Dierssen. 2012. "Advantages and limitations of ocean color remote sensing in CDOM-dominated, mineral-rich coastal and estuarine waters." Remote Sensing of Environment 125 181-197 [10.1016/j.rse.2012.07.001]