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Examining Material Transport in Dynamic Coastal Environments: An Integrated Approach Using Field Data, Remote Sensing and Numerical Modeling

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Remote Sensing and Modeling

Part of the book series: Coastal Research Library ((COASTALRL,volume 9))

Abstract

Coastal environments are critical ecological systems and offer vital resources and functions to societies worldwide. As a major interface between terrestrial and ocean environments, coastal water bodies (rivers, estuaries, bays and coastal margins) provide key ecological services and are the major conduit and processors of terrestrially derived particulate and dissolved material as they are transported to the ocean. Consequently, coastal environments have been shown to play a major role in global bio-geochemical cycles and provide critical habitat for a host of marine species. Globally, these important environments are under considerable pressure from high population densities, increasing growth rates and are particularly vulnerable from the effects of projected climate change such as sea level rise and increased storm events. Despite their importance, significant gaps remain in our understanding of how these environments will respond to climate change, increasing human population, land use changes, and over exploitation of natural resources. This lack of understanding is due in part to the difficulties in developing effective monitoring and analysis programs using only a single measurement approach that is limited in its spatial and temporal coverage.

We describe an integrated approach based on field measurements, remote sensing and numerical modeling that is being developed to examine the transport of dissolved (colored dissolved organic matter (CDOM), dissolved organic carbon (DOC)) and particulate material (total suspended matter (TSM)) within a complex coastal system, the Albemarle-Pamlico Estuarine System (APES), North Carolina USA. This integrated approach was established to overcome limitations associated with a single measurement and analysis approach. Field measurements and discrete samples are acquired using well-established protocols from small boats, bridges, and from the shore. Remotely sensed data are obtained from several sensors with diverse capabilities including SeaWiFS, MODIS, MERIS, HICO, Landsat and FORMOSAT-2. The numerical model Delft3D is used to simulate freshwater and DOC transport in the estuaries following major rainfall events that lead to high river discharge. Challenges associated with examining the APES using a single vs. an integrated measurement approach along with representative results from a broad suite of measurements are presented. Future advances in technology and refinements in our integrated approach are also considered.

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References

  • Aurin D, Mannino A, Franz B (2013) Spatially resolving ocean color and sediment dispersion in river plumes, coastal systems, and continental shelf waters. Remote Sens Environ 137:212–225

    Article  Google Scholar 

  • Barbier EB, Hacker SD, Kennedy C, Koch EW, Stier AC, Silliman BR (2011) The value of estuarine and coastal ecosystem services. Ecol Monogr 81:169–193

    Article  Google Scholar 

  • Bauer JE, Bianchi TS (2011) Dissolved organic carbon cycling and transformation. In: Wolanski E, McLusky DS (eds) Treatise on estuarine and coastal science. Academic, Waltham, pp 7–67

    Chapter  Google Scholar 

  • Blaas M, Dong C, Marchesiello P, McWilliams JC, Stolzenbach KD (2007) Sediment-transport modeling on Southern Californian shelves: a ROMS case study. Cont Shelf Res 27(6):832–853

    Article  Google Scholar 

  • Booij N, Ris R, Holthuijsen L (1999) A third-generation wave model for coastal regions: 1. Model description and validation. J Geophys Res 104(4):7649–7666

    Article  Google Scholar 

  • Brown MM (2013) An integrated method for monitoring material transport in a coupled land-estuary system following a dynamic storm event: the Neuse river and Estuary, NC and Hurricane Irene. MS thesis, East Carolina University, 111 pp

    Google Scholar 

  • Brown CW, Connor LN, Lillibridge JL, Nalli NR, Legeckis RV (2005) An introduction to satellite sensors, observations and techniques. In: Miller RL, Del Castillo CE, McKee BA (eds) Remote sensing of coastal aquatic environments: technologies, techniques and application. Springer, New York, pp 21–50

    Chapter  Google Scholar 

  • Brown MM, Mulligan RP, Miller RL (2014) Modeling the transport of freshwater and dissolved organic carbon in the Neuse River Estuary, NC, USA following Hurricane Irene (2011). Estuar Coast Shelf Sci 139:148–158

    Article  Google Scholar 

  • Burkholder JM et al (2004) Comparative impacts of two major hurricane seasons on the Neuse River and Western Pamlico Sound Ecosystems. Proc Natl Acad Sci 101:9291–9296

    Article  Google Scholar 

  • Cannizzaro JP, Carlson PR Jr, Yarbro LA, Hu C (2013) Optical variability along a river plume gradient: implications for management and remote sensing. Estuar Coast Shelf Sci 131:149–161

    Article  Google Scholar 

  • Casal G, Kutser T, Domínguez-Gómez JA, Sánchez-Carnero N, Freire J (2013) Assessment of the hyperspectral sensor CASI-2 for macroalgal discrimination on the Ría de Vigo coast (NW Spain) using field spectroscopy and modelled spectral libraries. Cont Shelf Res 55:129–140

    Article  Google Scholar 

  • Chen C, Shi P, Zhan H (2003) A local algorithm for estimation of yellow substance (gelbstoff) in coastal waters from SeaWiFS data: Pearl River estuary, China. Int J Remote Sens 24:1171–1176

    Article  Google Scholar 

  • Chen Z, Hu C, Conmy R, Muller-Karger F (2007) Colored dissolved organic matter in Tampa Bay, Florida. Mar Chem 104:98–109

    Article  Google Scholar 

  • Coble P (1996) Characterization of marine and terrestrial DOM in seawater using excitation-emission matrix spectroscopy. Mar Chem 51:325–346

    Article  Google Scholar 

  • Cui T, Zhang J, Groom S, Sun L, Smyth T, Sathyendranath S (2010) Validation of MERIS ocean-color products in the Bohai Sea: a case study for turbid coastal waters. Remote Sens Environ 114:2326–2336

    Article  Google Scholar 

  • Day J, Kemp M, Yaez-Arancibia A, Crump B (2012) Estuarine ecology, 2nd edn. Wiley-Blackwell, New York, p 568

    Book  Google Scholar 

  • Del Castillo CE, Miller RL (2008) On the use of ocean color remote sensing to measure the transport of dissolved organic carbon by the Mississippi River Plume. Remote Sens Environ 112:836–844

    Article  Google Scholar 

  • Dierssen HM, Zimmerman RC, Leathers RA (2003) Ocean color remote sensing of seagrass and bathymetry in the Bahamas Banks by high-resolution airborne imagery. Limnol Oceanogr 48:444–455

    Article  Google Scholar 

  • Dresback KM, Fleming JG, Blanton BO, Kaiser C, Gourley JJ, Tromble EM, Luettich RA Jr, Kolar RA, Hong Y, Van Cooten S, Vergara HJ, Flamig ZL, Lander HM, Kelleher KE, Nemunaitis-Monroe KL (2013) Skill assessment of a real-time forecast system utilizing a coupled hydrologic and coastal hydrodynamic model during Hurricane Irene (2011). Cont Shelf Res 71:78–94

    Article  Google Scholar 

  • Druon JN, Mannino A, Signorini S, McClain C, Friedrichs M, Wilkin J, Fennel K (2010) Modeling the dynamics and export of dissolved organic matter in the Northeastern U.S. continental shelf. Estuar Coast Shelf Sci 88(4):488–507

    Article  Google Scholar 

  • Ekstrand S (1992) Landsat TM based quantification of chlorophyll-a during algae blooms in coastal waters. Int J Remote Sens 13:1913–1926

    Article  Google Scholar 

  • Elias EPL, Gelfenbaum G, Van der Westhuysen AJ (2012) Validation of a coupled wave-flow model in a high-energy setting: the mouth of the Columbia River. J Geophys Res 117:C09011

    Google Scholar 

  • Elsner JB, Kossin JP, Jagger TH (2008) The increasing intensity of the strongest tropical cyclones. Nature 455:92–95

    Article  Google Scholar 

  • Fishman J, Iraci LT, Al-Saadi J, Chance K, Chavez F, Chin M, Coble P, Davis C, DiGiacomo PM, Edwards D, Eldering A, Goes J, Herman J, Hu C, Jacob DJ, Jordan C, Kawa SR, Key R, Liu X, Lohrenz S, Mannino A, Natraj V, Neil D, Neu J, Newchurch M, Pickering K, Salisbury J, Sosik H, Subramaniam A, Tzortziou M, Wang J, Wang M (2012) The United States’ next generation of atmospheric composition and coastal ecosystem measurements: NASA’s Geostationary Coastal and Air Pollution Events (GEO-CAPE) Mission. Bull Am Meteorol Soc 93:1547–1566

    Article  Google Scholar 

  • Giese GL, Wilder HB, Parker GG (1985) Hydrology of major estuaries and sounds of North Carolina: U.S. Geological Survey Water-Supply Paper 2221. USGS, 108 p

    Google Scholar 

  • Giffin D, Corbett DR (2003) Evaluation of sediment dynamics in coastal systems via short-lived radioisotopes. J Mar Syst 42:83–96

    Article  Google Scholar 

  • Gons HJ, Auer MT, Effler SW (2008) MERIS satellite chlorophyll mapping of oligotrophic and eutrophic waters in the Laurentian Great Lakes. Remote Sens Environ 112:4098–4106

    Article  Google Scholar 

  • Green RE, Gould RW Jr, Ko DS (2008) Statistical models for sediment/detritus and dissolved absorption coefficients in coastal waters of the northern Gulf of Mexico. Cont Shelf Res 28:1273–1285

    Article  Google Scholar 

  • Guo W, Stedmon CA, Han Y, Wu F, Yu X, Hu M (2007) The conservative and non-conservative behavior of chromophoric dissolved organic matter in Chinese estuarine waters. Mar Chem 107:357–366

    Article  Google Scholar 

  • Haase AT, Eggleston DB, Luettich RA Jr, Weaver RJ, Puckett BJ (2012) Estuarine circulation and predicted oyster larval dispersal among a network of reserves. Estuar Coast Shelf Sci 101:33–43

    Article  Google Scholar 

  • Harding LW, Magnuson A, Mallonee ME (2005) SeaWiFS retrievals of chlorophyll in Chesapeake Bay and the mid-Atlantic bight. Estuar Coast Shelf Sci 62:75–94

    Article  Google Scholar 

  • Helms JR, Stubbins A, Ritchie JD, Minor EC, Kieber DJ, Mopper K (2008) Absorption spectral slopes and slope ratios as indicators of molecular weight, source, and photobleaching of chromophoric dissolved organic matter. Limnol Oceanogr 53:955–969

    Article  Google Scholar 

  • Hinrichsen D (1998) Coastal waters of the world: trends, threats and strategies. Island Press, Washington, DC

    Google Scholar 

  • Hlaing S et al (2013) Evaluation of the VIIRS ocean color monitoring performance in coastal regions. Remote Sens Environ 139:398–414

    Article  Google Scholar 

  • Howarth RW (2008) Coastal nitrogen pollution: a review of sources and trends globally and regionally. Harmful Algae 8:14–20

    Article  Google Scholar 

  • Hu C, Chen Z, Clayton T, Swarzenski P, Brock J (2004) Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: Initial results from Tampa Bay, FL. Remote Sens Environ 93:423–441

    Article  Google Scholar 

  • Hyde KJW, O’reilly JE, Oviatt CA (2007) Validation of SeaWiFS chlorophyll-a in Massachusetts Bay. Cont Shelf Res 27:1677–1691

    Article  Google Scholar 

  • Inamdar S, Finger N, Singh S, Mitchell M, Levia D (2011) Dissolved organic matter (DOM) concentration and quality in a forested mid-Atlantic watershed, USA. Biogeochemistry. doi:10.1007/s10533-011-9572-4

    Google Scholar 

  • Khorram S, Cheshire H, Geraci AL, La Rosa G (1991) Water quality mapping of Augusta Bay, Italy from Landsat-TM data. Int J Remote Sens 12(4):803–808. doi:10.1080/01431169108929696

    Article  Google Scholar 

  • Koren V, Reed S, Smith M, Zhang Z, Seo D-J (2004) Hydrology laboratory research modeling system (HL-RMS) of the US national weather service. J Hydrol 291(3–4):297–318

    Article  Google Scholar 

  • Kratzer S, Brockmann C, Moore G (2008) Using MERIS full resolution data to monitor coastal waters—a case study from Himmerfjärden, a fjord-like bay in the northwestern Baltic Sea. Remote Sens Environ 112:2284–2300

    Article  Google Scholar 

  • Lesser GR, Roelvink JA, Van Kester JATM, Stelling GS (2004) Development and validation of a three dimensional morphological model. J Coast Eng 51:883–915

    Article  Google Scholar 

  • Liu C, Liu J, Lin C, Wu A, Liu S, Shieh C (2007) Image processing of FORMOSAT-2 data for monitoring the South Asia tsunami. Int J Remote Sens 28:3093–3111

    Article  Google Scholar 

  • López R, Del Castillo CE, Miller RL, Salisbury J, Wisser D (2012) Examining organic carbon transport by the Orinoco river using SeaWiFS imagery. J Geophys Res 117, G03022. doi:10.1029/2012JG001986

    Google Scholar 

  • Luettich RA Jr, McNinch JE, Paerl HW, Peterson CP, Wells JT, Alperin M, Martens CS, Pinckney JL (2000) Neuse River Estuary modeling and monitoring project stage 1: hydrography and circulation, water column nutrients and productivity, sedimentary processes and benthic-pelagic coupling. Report UNC-WRRI-2000-325B. Water Resources Research Institute of the University of North Carolina, Raleigh

    Google Scholar 

  • Luettich RA Jr, Carra SD, Reynolds-Fleminga JV, Fulchera CW, Mcninch JE (2002) Semi-diurnal seiching in a shallow, micro-tidal lagoonal estuary. Cont Shelf Res 22:1669–1681

    Article  Google Scholar 

  • Lunetta RS et al (2009) Measurement of water colour using AVIRIS imagery to assess the potential for an operational monitoring capability in the Pamlico Sound Estuary, USA. Int J Remote Sens 30:3291–3314

    Article  Google Scholar 

  • Meyers JS, Miller RL (2005) An introduction to satellite sensors, observations and techniques. In: Miller RL, Del Castillo CE, McKee BA (eds) Remote sensing of coastal aquatic environments: technologies, techniques and application. Springer, New York, pp 53–69

    Google Scholar 

  • Miller RL, Cruise J (1995) Effects of suspended sediments on coral growth: evidence from remote sensing and hydrologic modeling. Remote Sens Environ 53:177–187

    Article  Google Scholar 

  • Miller RL, Mckee BA (2004) Using MODIS Terra 250 m imagery to map concentrations of total suspended matter in coastal waters. Remote Sens Environ 93:259–266

    Article  Google Scholar 

  • Miller RL, Belz M, Castillo CD, Trzaska R (2002) Determining CDOM absorption spectra in diverse coastal environments using a multiple pathlength, liquid core waveguide system. Cont Shelf Res 22:1301–1310

    Article  Google Scholar 

  • Miller RL, Twardowski M, Moore C, Casagrande C (2003) The dolphin: technology to support remote sensing bio-optical algorithm development and applications. Backscatter, Alliance for Marine Remote Sensing, spring, pp 8–12

    Google Scholar 

  • Miller RL, Del Castillo CE, Chilmakuri C, McCorquodale JA, Georgiou I, McKee BA, D’Sa EJ (2005a) Using multi-temporal MODIS 250 m data to calibrate and validate a sediment transport model for environmental monitoring of coastal waters. MultiTemp’05, Biloxi, MS. 5 pp

    Google Scholar 

  • Miller RL, Del Castillo CE, Mckee BA (2005b) Remote sensing of coastal aquatic environments: technologies, techniques and applications. Springer, New York, p 347

    Book  Google Scholar 

  • Miller RL, Buonassissi C, Del Castillo CE, Belz M (2011a) A portable fiber optic system for measuring particle absorption using the quantified filter technique (QFT). Limnol Oceanogr Methods 9:554–564

    Article  Google Scholar 

  • Miller RL, Liu C-C, Buonassissi CJ, Wu A-M (2011b) A multi-sensor approach to examining the distribution of total suspended matter (TSM) in the Albemarle-Pamlico estuarine system, NC, USA. Remote Sens 3:962–974

    Article  Google Scholar 

  • Miller RL, Mitra S, Buonassissi CJ, Brown M (2011c) Transport of dissolved organic matter following major rainfall events in a coupled terrestrial – ocean system: the Neuse River, North Carolina USA. 11th International Estuarine Biogeochemisty Symposium. Atlantic Beach, NC, 15–19 May

    Google Scholar 

  • Mitchell BG, Kahru M, Wieland J, Stramska M (2002) Determination of spectral absorption coefficients of particles, dissolved material, and phytoplankton for discrete water samples. In: Mueller JL, Fargion G, McClain C (eds) Ocean optics protocols for satellite ocean color sensor validation NASA Tech. Man. 2003-211621. Goddard Space Flight Center, Natl. Aeronautics and Space Admin, Greenbelt, pp 39–64

    Google Scholar 

  • Mitra S, Wozniak SA, Miller RL, Hatcher PG, Buonassissi C, Brown M (2013) Atlantic hurricanes as a source of marine dissolved organic matter onto land. Mar Chem 154:67–76

    Article  Google Scholar 

  • Muller-Karger F, Roffer M, Walker N, Oliver M, Schofield O, Abbott M, Graber H, Leben R, Goni G (2013) Satellite remote sensing in support of an integrated ocean observing system. Geosci Remote Sens Mag IEEE 1(4):8–18

    Article  Google Scholar 

  • Mulligan RP, Hay AE, Bowen AJ (2008) Wave-driven circulation in a coastal bay during the landfall of a hurricane. J Geophys Res 113:C05026

    Google Scholar 

  • Mulligan RP, Perrie W, Solomon S (2010) Dynamics of the Mackenzie River plume on the inner Beaufort Shelf during an open water period in summer. Estuar Coast Shelf Sci 89:214–220

    Article  Google Scholar 

  • Mulligan RP, Walsh JP, Wadman HM (2014) Storm surge and surface waves in a shallow lagoonal estuary during the crossing of a Hurricane. J Waterw Port Coast Ocean Eng. A5014001, doi: 10.1061/(ASCE)WW.1943-5460.0000260

  • National Academy of Science (2011) Assessing requirements for sustained ocean color research and operations. The National Academies Press, Washington, DC

    Google Scholar 

  • NC Division of Marine Fisheries (1995) NC commercial landings. http://www.ncfisheries.net/statistics/comstat/95land.htm. Accessed 3 Jan 2014

  • NCDENR (2010) North Carolina Department of Environment and Natural Resources (NCDENR), Division of Water Resources. 2010. Neuse River Basin Water Resources Plan, July 2010. NCDENR, Raleigh, NC

    Google Scholar 

  • Nezlin NP, Digiacomo PM, Stein ED, Ackerman D (2005) Stormwater runoff plumes observed by SeaWiFS radiometer in the Southern California Bight. Remote Sens Environ 98:494–510

    Article  Google Scholar 

  • NOAA (2013) National Oceanic and Atmospheric Administration. National Coastal Population Report. Population trends from 1970 to 2020. http://stateofthecoast.noaa.gov/features/coastal-population-report.pdf. Accessed 3 Jan 2014

  • Osburn CL, Handsel LT, Mikan MP, Paerl HW, Montgomery MT (2012) Fluorescence tracking of dissolved and particulate organic matter quality in a river-dominated estuary. Environ Sci Technol 46:8628–8636

    Article  Google Scholar 

  • Otis D, Carder K, English D, Ivey J (2004) CDOM transport from the Bahamas banks. Coral Reefs 23:152–160

    Article  Google Scholar 

  • Paerl HW et al (2001) Ecosystem impacts of three sequential hurricanes (Dennis, Floyd, and Irene) on the United States’ largest lagoonal estuary, Pamlico Sound, NC. Proc Natl Acad Sci 98:5655–5660

    Article  Google Scholar 

  • Pietrafesa LJ, Janowitz GS, Chao T-Y, Weisberg RH, Askari F, Noble E (1986) The physical oceanography of Pamlico Sound. University of North Carolina Sea Grant Publication UNC-SG-WP-86-5, 126 pp

    Google Scholar 

  • Richardson LL, Ledrew EF (2006) Remote sensing of aquatic coastal ecosystem processes. Springer, New York, p 324

    Book  Google Scholar 

  • Sallenger AH, Doran KS, Howd PA (2012) Hotspot of accelerated sea-level rise on the Atlantic coast of North America. Nat Clim Chang 2:884–888

    Article  Google Scholar 

  • Seitzinger SP, Kroeze C, Bouwman AF, Caraco N, Dentener F, Styles RV (2002) Global patterns of dissolved inorganic and particulate nitrogen inputs to coastal systems: Recent conditions and future projections. Estuaries 25:640–655

    Article  Google Scholar 

  • Small C, Nicholls RJ (2003) A global analysis of human settlement in coastal zones. J Coast Res 19:584–599

    Google Scholar 

  • Sokoletsky LG, Lunetta RS, Wetz MS, Paerl HW (2011) MERIS retrieval of water quality components in the turbid Albemarle-Pamlico Sound Estuary, USA. Remote Sens 3:684–707

    Article  Google Scholar 

  • Tomlinson MC, Stumpf RP, Ransibrahmanakul V, Truby EW, Kirkpatrick GJ, Pederson BA, Vargo GA, Heil CA (2004) Evaluation of the use of SeaWiFS imagery for detecting Karenia brevis harmful algal blooms in the eastern Gulf of Mexico. Remote Sens Environ 91(3–4):293–303

    Article  Google Scholar 

  • Tzortziou M, Osburn C, Neale P (2007) Photobleaching of dissolved organic material from a tidal marsh-estuarine system of the Chesapeake Bay. Photochem Photobiol 83:782–792

    Article  Google Scholar 

  • Walling DE (1999) Linking land use, erosion and sediment yields in river basins. Hydrobiologia 410:233–240

    Article  Google Scholar 

  • Wang Y (2004) Using Landsat 7 TM data acquired days after a flood event to delineate the maximum flood extent on a coastal floodplain. Int J Remote Sens 25:959–974

    Article  Google Scholar 

  • Wang Y (2009) Remote sensing of coastal environments. CRC Press, Boca Raton, 457 pp

    Google Scholar 

  • Weishaar JL, Aiken GR, Bergamaschi BA, Fram MS, Fugii R, Mopper K (2003) Evaluation of specific ultraviolet absorbance as an indicator of the chemical composition and reactivity of dissolved organic carbon. Environ Sci Technol 37:4702–4708

    Article  Google Scholar 

  • Wool TA, Davie SR, Rodriquez HN (2003) Development of three-dimensional hydrodynamic and water quality models to support total maximum daily load decision process for the Neuse River Estuary, North Carolina. J Water Resour Plan Manag 129:295–306

    Article  Google Scholar 

  • Xi H, Zhang Y (2011) Total suspended matter observation in the Pearl River estuary from in situ and MERIS data. Environ Monit Assess 177:563–574

    Article  Google Scholar 

  • Zhang M, Tang J, Dong Q, Song Q, Ding J (2010) Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery. Remote Sens Environ 114:392–403

    Article  Google Scholar 

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Acknowledgements

We gratefully acknowledge the contributions of the National Aeronautics and Space Administration Ocean Biology and Biochemistry Program by collecting and maintaining the Ocean Color Data Sets. We thank the Institute of Marine Sciences, University of North Carolina, for sharing their Modeling and Monitoring Project (ModMon) data and to the Center for Applied Aquatic Ecology, North Carolina State University for sharing their Neuse Estuary Monitoring and Research Program (NEMReP) data. We thank the National Space Organization of Taiwan and the Global Earth Observation and Data Analysis Center, National Cheng Kung University, for their help in obtaining and processing FORMOSAT-2 imagery. Mulligan acknowledges funding for travel through a Research Initiation Grant at Queen’s University. Partial funding of this program was provided by a grant to Miller from the NC Sea Grant Program.

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Authors and Affiliations

  1. Department of Geological Sciences, East Carolina University, Greenville, NC, USA

    Richard L. Miller & Matthew M. Brown

  2. Institute for Coastal Science and Policy, East Carolina University, Greenville, NC, USA

    Richard L. Miller & Ramón López

  3. Department of Civil Engineering, Queen’s University, Kingston, ON, Canada

    Ryan P. Mulligan

  4. Center for Applied Aquatic Ecology, North Carolina State University, Raleigh, NC, USA

    Robert E. Reed

  5. Department of Earth Sciences, National Cheng Kung University, Tainan, Taiwan R.O.C.

    Cheng-Chien Liu

  6. Institute for Coastal Science and Policy, Coastal Resource Management PhD Program, East Carolina University, Greenville, NC, USA

    Christopher J. Buonassissi

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Correspondence to Richard L. Miller .

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  1. Florida Atlantic University, Boca Raton, Florida, USA

    Charles W. Finkl

  2. Coastal Education & Research Foundation, Coconut Creek, Florida, USA

    Christopher Makowski

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Miller, R.L. et al. (2014). Examining Material Transport in Dynamic Coastal Environments: An Integrated Approach Using Field Data, Remote Sensing and Numerical Modeling. In: Finkl, C., Makowski, C. (eds) Remote Sensing and Modeling. Coastal Research Library, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-06326-3_14

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