Skip to main content

Marine and Coastal Resources

  • Chapter
  • First Online:
Environmental Geoinformatics

Part of the book series: Environmental Science and Engineering ((ENVSCIENCE))

Abstract

Marine habitats are comprised of zones termed coastal terrestrial, open water, and the ocean bottom until several meters deep. Besides fish, these habitats are home to diverse flora and fauna, with swathes of sandy beaches and sand dunes spread across the globe critical for the survival of many endangered species e.g., turtles, dugongs, migratory birds etc

Shoreline and beach surveys can today benefit from the state-of-the-art GNSS monitoring techniques, which directly offer both two- and three-dimensional data sets within a short period of time.

Morton et al. (1993)

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://landsat.gsfc.nasa.gov/about/L7_td.html

  2. 2.

    Multispectral Scanner.

  3. 3.

    Thematic Mapper.

  4. 4.

    Light Detection and Ranging.

References

  • Angulo RJ, Soares CR, Souza MC (2000) Excursion route along the state of Paran (PR). In: 31st international geological congress. Rio de Janeiro, August 6–17, 58–81

    Google Scholar 

  • Blasco F, Saenger P, Janodet E (1996) Mangroves as indicators of coastal change. Catena 27:167–178

    Article  Google Scholar 

  • Boak EH, Turner IL (2005) Shoreline definition and detection: a review. J Coast Res 21(4):688–703

    Article  Google Scholar 

  • Call KA, Hardy JT, Wallin DO (2003) Coral reef habitat discrimination using multivariate spectral analysis and satellite remote sensing. International Journal of Remote Sensing 24:2627–2639

    Article  Google Scholar 

  • Crowell M, Douglas BC, Leatherman SP (1997) On forecasting future US shoreline positions: a test of algorithms. J Coast Res 13(4):1245–1255

    Google Scholar 

  • Demarest JM, Leatherman SP (1985) Mainland influence on coastal transgression: Delmarva Peninsula. Mar Geol 63:19–33

    Article  Google Scholar 

  • Di K, Ma R, Li R (2003) Geometric processing of IKONOS geostereo imagery for coastal mapping applications. Photogrammetric Engineering and Remote Sensing 69:873–879

    Google Scholar 

  • Douglas BC, Crowell M (2000) Long-term shoreline position prediction and error propagation. J Coast Res 16(1):145–152

    Google Scholar 

  • Douglas BC, Crowell M, Leatherman SP (1998) Considerations for shoreline position prediction. J Coast Res 14(3):1025–1033

    Google Scholar 

  • Fenster MS, Dolan R, Elder JF (1993) New method for predicting shoreline positions from historical data. J Coast Res 9(1):147–171

    Google Scholar 

  • Fenster MS, Dolan R, Morton RA (2000) Coastal storms and shoreline change: signal or noise? J Coast Res 17(3):714–720

    Google Scholar 

  • Ferentinos KP, Trigoni N, Nittel S (2008) Impact of drifter deployment on the quality of ocean sensing. In: Nittel S, Labrinidis A, Stefanidis A (eds) GeoSensor networks. Lecture notes in computer science 4540. Springer, Berlin, pp 9–24

    Google Scholar 

  • Galgano FA, Douglas BC (2000) Shoreline position prediction: methods and errors. Environ Geosci 7(1):1–10

    Article  Google Scholar 

  • Galgano FA, Douglas BC, Leatherman SP (1998) Trends and variability of shoreline position. J Coast Res 26:282–291

    Google Scholar 

  • Gibeaut JC, Hepner T, Waldinger R, Andrews J, Gutierrez R, Tremblay TA, Smyth R, Xu L (2001) Changes in gulf shoreline position, Mustang, and North Padre Islands. A report of the Texas coastal coordination council pursuant to National Oceanic and Atmospheric Administration. Bureau of Economic Geology, The University of Texas, Austin Texas, Texas

    Google Scholar 

  • Goncalves RM (2010) Short-term trend modeling of the shoreline through geodetic data using linear regression, robust estimation and artificial neural networks. Ph.D. Thesis, Geodetic Sciences Post-graduate Program, Federal University of Parana (UFPR), Curitiba, Brazil, 152p.

    Google Scholar 

  • Goncalves RM, Awange JL, Krueger CP (2012) GNSS-based monitoring and mapping of shoreline position in support of planning and management of Matinhos/PR (Brazil). J Global Positioning Syst 11(1):156–168. doi:10.5081/jgps.11.2.156

  • Gorman L, Morang A, Larson R (1998) Monitoring the coastal environment; Part IV: mapping, shoreline changes, and bathymetric analysis. J Coast Res 14:61–92

    Google Scholar 

  • Hecky RE, Newbury RW, Bodaly RA, Patalas K, Rosenberg DM (1984) Environmental impact prediction and assessment: the Southern Indian lake experience. Canadian J Fisheries Aquat Sci 41(4):720–732

    Article  Google Scholar 

  • Held A, Ticehurst C, Lymburner L, Williams N (2003) High resolution mapping of tropical mangrove ecosystems using hyperspectral and radar remote sensing. Int J Remote Sens 24:2739–2759

    Article  Google Scholar 

  • Karpouzli E, Malthus T, Place C, Chui MA, Garcia MI, Mair J (2003) Underwater light characterization for correction of remotely sensed images. Int J Remote Sens 24:2683–2702

    Article  Google Scholar 

  • Krueger CP, Centeno JA, Mitishita EA, Veiga LAK, Zocolotti CAJ, Jubanski MJ (2002) Determinacao da linha de costa na regiao de Matinhos. Anais do Simposio Brasileiro de Geomatica, Presidente Prudente - SP, pp 206–211

    Google Scholar 

  • Li R, Di K, Ma R (2001) A comparative study of shoreline mapping techniques. In: The 4th international symposium on computer mapping and GIS for coastal zone management, Nova Scotia

    Google Scholar 

  • Ma R, Di K, Li R (2003) 3D shoreline extraction from IKONOS satellite. J Mar Geodesy 26:107–115

    Article  Google Scholar 

  • Malthus TJ, Mumby PJ (2007) Remote sensing of the coastal zone: an overview and priorities for future research. Int. J. Remote Sensing 24:2805–2815

    Article  Google Scholar 

  • Metropolitan Borough of Sefton (2002) Shoreline monitoring annual report 2001/2002. http://www.sefton.gov.uk/pdf/TS_cdef_monitor_20012.pdf. Accessed 14 Nov 2008

  • Morton RA, Leach MP, Paine JG, Cardoza MA (1993) Monitoring beach changes using gps surveying techniques. J Coast Res 9(3):702–720

    Google Scholar 

  • Mumby PJ, Green EP, Edwards AJ, Clark CD (1997) Coral reef habitat mapping: how much details can remote sensing provide? Mar Biol 130:193–202

    Article  Google Scholar 

  • Pettigrew NR, Roesler CS, Neville F, Deese HE (2008) An operational real-time ocean sensor network in the Gulf of Maine. In: Nittel S, Labrinidis A, Stefanidis A (eds) (2008) GeoSensor networks. Lecture notes in computer science 4540. Springer, Berlin, pp 213–238

    Google Scholar 

  • Pierri N, Angulo RJ, Souza MC, Kim MK (2006). A ocupação e o uso do solo no litoral paranaense: condicionantes, conflitos e tendencias. Desenvolvimento e meio ambiente. Ocupação e uso do solo costeiro um mosaico de diversidade (13), editora UFPR, pp 137–167

    Google Scholar 

  • Schiff KC, Weisberg SB (2001) Environmental auditing: microbiological monitoring of marine recreational waters in Southern California. Environ Manage 27(1):149–157

    Article  Google Scholar 

  • Soares CR, Vobel I, Paranhos Filho AC (1995) The marine erosion problem in Matinhos municipality. In: Land Ocean Interactions on the Coastal Zone, 1995, São Paulo. Boletim de Reumos do Land Ocean Interactions on the Coastal Zone, pp 48–50

    Google Scholar 

  • Suguio K (1992). In: Queiroz TA (ed) Dicionaário de geologia marinha. São Paulo, p171

    Google Scholar 

  • White K, Asmar EL (1999) Monitoring changing position of coastlines using thematic mapper imagery, an example from the Nile Delta. Geomorphology 29:93–105

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joseph L. Awange .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Awange, J.L., Kyalo Kiema, J.B. (2013). Marine and Coastal Resources. In: Environmental Geoinformatics. Environmental Science and Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34085-7_24

Download citation

Publish with us

Policies and ethics