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Marine and Coastal Resources

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Environmental Geoinformatics

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

Abstract

The extreme importance of coastal zones for countries with highly-populated coastal areas has been discussed in Goncalves and Awange [2] who highlight the concerns about their future, particularly on the state of their natural resources that provide life support and opportunities for economic development and tourism for these countries [3]. However, one of the main environmental problems facing coastal areas the world over is that of coastal erosion, which includes, e.g., beach erosion and other natural and anthropogenic environmental factors that are present along the shoreline. Anthropogenic factors include, for example, settlement near the shore, which aggravates the situation as exemplified in the case of Brazil where hundreds of beaches are under severe erosion [4]. One way of efficiently accomplishing coastal management, therefore, is investing in monitoring of shorelines to support policy formulations.

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. [1]

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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.

  5. 5.

    http://www.ngs.noaa.gov/RSD/cmp.shtml.

References

  1. 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 

  2. Goncalves R, Awange JL (2017) Evaluation of three mostly used GNSS-based shoreline monitoring methods to support Integrated Coastal Zone Management Policies. J Surveying Eng 143. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000219

  3. Clarck JR (1992) Integrated management of coastal zones. FAO fisheries technical paper. no. 327. Rome, FAO, p 67. Available in http://www.fao.org/docrep/003/T0708E/T0708E00.htm#TOC. Access 24 July 2013

  4. Souza CRG (2009) Coastal erosion and the coastal zone management challenges in Brazil. J Integr Coastal Zone Manag 9(1):17–37

    Google Scholar 

  5. Baldock J, Bancroft KP, Williams M, Shedrawi G, Field S (2014) Accurately estimating local water temperature from remotely sensed satellite sea surface temperature: a near real-time monitoring tool for marine protected areas. Ocean Coast Manag 96:73–81

    Google Scholar 

  6. Botero C, Pereira C, Tosic M, Manjarrez G (2015) Design of an index for monitoring the environmental quality of tourist beaches from a holistic approach. Ocean Coast Manag 108:67–73

    Article  Google Scholar 

  7. Jacobson C, Carter RW, Thomsen DC, Smith TF (2014) Monitoring and evaluation for adaptive coastal management. Ocean Coast Manag 89:51–57

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  11. Call KA, Hardy JT, Wallin DO (2003) Coral reef habitat discrimination using multivariate spectral analysis and satellite remote sensing. Int J Remote Sens 24:2627–2639

    Article  Google Scholar 

  12. 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 

  13. 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 

  14. 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 

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

    Google Scholar 

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

    Google Scholar 

  17. Suguio K (1992) Dicionaário de geologia marinha. T.A Queiroz, São Paulo, p 171

    Google Scholar 

  18. 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, p 152

    Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Google Scholar 

  22. 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, Texas. 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

    Google Scholar 

  23. 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 

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

    Google Scholar 

  25. 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 

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

    Article  Google Scholar 

  27. Di K, Ma R, Li R (2003) Geometric processing of IKONOS geostereo imagery for coastal mapping applications. Photogram Eng Remote Sens 69:873–879

    Article  Google Scholar 

  28. 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

  29. 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 

  30. Smith JT Jr (1981) A history of flying and photography in the photogrammetry division of the National Ocean survey, 1919–79. Silver Spring, Maryland: U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, p 486

    Google Scholar 

  31. Graham D, Sault M, Bailey J (2003) National ocean service shoreline: past, present, and future. In: Byrnes M, Crowell M, Fowler C (eds) Shoreline mapping and change analysis: technical considerations and management implications. J Coast Res Special Issue No. 38, pp 14–32

    Google Scholar 

  32. Parrish CE, Sault M, White SA Sellars J (2005) Empirical analysis of aerial camera filters for shoreline mapping. In: Proceedings of the American society for photogrammetry and remote sensing annual conference, Baltimore, Maryland, pp 1–11

    Google Scholar 

  33. Parrish CE (2012) Chapter 6: Shoreline mapping in advances in mapping from remote sensor imagery: techniques and applications, Yang X, Li J (eds.). CRC Press, Taylor and Francis Group, Boca Raton, Florida, pp 145–168

    Google Scholar 

  34. Dolan R, Heywood J (1976) Landsat application of remote sensing to Shoreline-form analysis. NASA Technical Report, NASA Goddard Space Flight Center, Greenbelt, Maryland, p 33

    Google Scholar 

  35. Stockdon HF, Sallenger AH Jr, List JH, Holman RA (2002) Estimation of shoreline position and change using airborne topographic lidar data. J Coast Res 18(3):502–513

    Google Scholar 

  36. White SA, Parrish CE, Calder BR, Pe’eri S, Rzhanov Y (2011) Lidar-derived National Shoreline: empirical and stochastic uncertainty analyses. J Coast Res Special Issue 62:62–74

    Google Scholar 

  37. Yao F, Parrish CE, Pe’eri S, Calder BR, Rzhanov Y (2015) Modeling uncertainty in photogrammetry-derived National Shoreline. Mar Geodesy 28:128–145

    Article  Google Scholar 

  38. Westoby MJ, Brasington J, Glasser NF, Hambrey MJ, Reynolds JM (2012) Structure-from-Motion’photogrammetry: a low-cost, effective tool for geoscience applications. Geomorphology 179:300–314

    Article  Google Scholar 

  39. Mancini F, Dubbini M, Gattelli M, Stecchi F, Fabbri S, Gabbianelli G (2013) Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: the structure from motion approach on coastal environments. Remote Sens 5(12):6880–6898

    Article  Google Scholar 

  40. Goncalves RM, Awange J, Krueger CP, Heck B, Coelho LS (2012) A comparison between three short-term shoreline prediction models. Ocean Coast Manag 69:102–110

    Article  Google Scholar 

  41. 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 

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

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

    Article  Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  47. 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 

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

    Google Scholar 

  49. 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 

  50. Goncalves RM, Awange JL, Krueger CP, Heck B, Coelho LS (2012) A comparison between three short-term shoreline prediction models. Ocean Coast Manag 69:102–110. https://doi.org/10.1016/j.ocecoaman.2012.07.024

    Article  Google Scholar 

  51. 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 vol 4540. Springer, Berlin, pp 9–24

    Google Scholar 

  52. 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, vol 4540. Lecture Notes in computer science. Springer, Berlin, pp 213–238

    Google Scholar 

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Authors and Affiliations

  1. Spatial Sciences, Curtin University, Perth, WA, Australia

    Joseph Awange

  2. Department of Geospatial and Space Technology, University of Nairobi , Nairobi, Kenya

    John Kiema

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  1. Joseph Awange
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Correspondence to Joseph Awange .

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Awange, J., Kiema, J. (2019). Marine and Coastal Resources. In: Environmental Geoinformatics. Environmental Science and Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-030-03017-9_29

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