Skip to main content
SpringerLink
Log in
Book cover

Remote sensing of aquatic coastal ecosystem processes pp 217–249Cite as

THE ROLE OF INTEGRATED INFORMATION ACQUISITION AND MANAGEMENT IN THE ANALYSIS OF COASTAL ECOSYSTEM C

  • Chapter

Part of the book series: Remote Sensing and Digital Image Processing ((RDIP,volume 9))

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

8. References

  • Andréfouët, S., F.E. Muller Karger, E.J. Hochberg, C. Hu, and K.L. Carder. 2001. Change detection in shallow coral reef environments using Landsat 7 ETM+ data. Remote Sensing of Environment, 78: 150-162.

    Article  Google Scholar 

  • Andréfouët, S., P. Kramer, D. Torres-Pulliza, K.E. Joyce, E.J. Hochberg, R. Garza-Perez, P.J. Mumby, B. Riegl, H. Yamano, W.H. White, M. Zubia, J. Brock, S.R. Phinn, A. Naseer, B.G. Hatcher, and F.E. Muller-Karger. 2003. Multi-sites evaluation of IKONOS data for classification of tropical coral reef environments. Remote Sensing of Environment, 88:128-143.

    Article  Google Scholar 

  • Belfiore, S., 2003. The growth of integrated coastal management and the role of indicators in integrated coastal management: introduction to the special issue. Ocean and Coastal Management, 46: 225-234.

    Article  Google Scholar 

  • Berlanga Robles, C.A. and A. Ruiz Luna. 2002. Land use mapping and change detection in the coastal zone of northwest Mexico using remote sensing techniques. Journal of Coastal Research, 18:514-522.

    Google Scholar 

  • Brando, V.E. and A.G. Dekker. 2003. Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality. IEEE Transactions on Geoscience and Remote Sensing, 41:1378-1387.

    Article  Google Scholar 

  • Bromberg, S.M. 1990. Identifying ecological indicators: An environmental monitoring and assessment program. Journal of Air and Waste Management Association, 40: 976-978.

    Google Scholar 

  • Brown, J.A. and B.J.F. Manly. 1998. Restricted adaptive cluster sampling. Environmental and Ecological Statistics, 5:49-63.

    Article  Google Scholar 

  • Chrisman, N.R. 1991. The error component in spatial data. In: D.J. Maguire and et al. (Editors), Geographical information systems. Longman-Wiley, pp. 165-174.

    Google Scholar 

  • Collins, J.B. and C.E. Woodcock. 1996. An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data. Remote Sensing of Environment, 56: 66-77.

    Article  Google Scholar 

  • Coppin, P.R. and M.E. Bauer. 1996. Digital change detection in forest ecosystems with remote sensing imagery. Remote Sensing Reviews, 13:207-234.

    Google Scholar 

  • Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., and E. Lambin. 2004. Digital change detection methods in ecosystem monitoring: a review. International Journal of Remote Sensing, 25(9):1565-1596.

    Article  Google Scholar 

  • Czaplewski, R.L. 2003. Can a sample of Landsat sensor scenes reliably estimate the global extent of tropical deforestation? International Journal of Remote Sensing, 24:1409-1412.

    Article  Google Scholar 

  • Dadouh-Guebas, F. 2002. The use of remote sensing and GIS in the sustainable management of tropical coastal ecosystems. Environment, Development and Sustainability, 4:93-112.

    Article  Google Scholar 

  • Dekker, A.G. and E. Seyhan. 1988. The Remote Sensing Loosdrecht Lakes project, International Journal of Remote Sensing, 9:1761-73.

    Article  Google Scholar 

  • Dekker, A.G., V.E. Brando, J. Anstee, N. Pinnel, and A. Held. 2001a. Preliminary assessment of the performance of Hyperion in coastal waters. Cal/Val activities in Moreton Bay, Queensland, Australia, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium Cat. No.01CH37217. 2001. IEEE, Piscataway, NJ, USA, pp. 2665-7 vol.6.

    Google Scholar 

  • Dekker, A.G., V.E. Brando, J.M. Anstee, N. Pinnel, T. Kutser, E.J. Hoogenboom, S. Peters, R. Pasterkamp, R. Vos, C. Olbert, and T.J.M. Malthius. 2001b. Imaging spectrometry of water. In F. Van der meer and S. M. de Jong, Kluwer (Eds.), Remote Sensing and Digital Image Processing, Kluwer, pp. 307-359.

    Google Scholar 

  • Dennison, W.C. and E.G. Abal. 1999. Moreton Bay Study: A Scientific Basis for the Healthy Waterways Program, 1. South East Queensland Water Quality Management Strategy/Brisbane City Council, Brisbane, 246 pp.

    Google Scholar 

  • Dennison, W.C., J.W. Udy, J. Rogers, C. Collier, J. Prange. 1998. Benthic Flora Nutrient Dynamics Final Report., Brisbane River & Moreton Bay Wastewater Management Study.

    Google Scholar 

  • Dennison, W.C., E. Duffy, P. Oliver, and G. Shaw. 1999. Blooms of the cyanobacterium Lyngbya majuscula in coastal waters of Queensland, International Symposium on Marine Cyanobacteria. Bulletin de l’Institut Oceanographique, Monaco, pp. 632.

    Google Scholar 

  • Dewidar, K. and A. Khedr. 2001. Water quality assessment with simultaneous Landsat-5 TM at Manzala Lagoon, Egypt. Hydrobiologia, 457:49-58.

    Article  Google Scholar 

  • Dierssen, H.M., R.C. Zimmerman, R.A. Leathers, T.V. Downes, and C.O. Davis. 2003. Ocean color remote sensing of seagrass and bathymetry in the Bahamas Banks by high-resolution airborne imagery. Limnology and Oceanography, 48:444-455.

    Google Scholar 

  • Edwards, A.J. (Editor), 1999a. Applications of satellie and airborne image data to coastal management. Coastal Regions and Small Islands Papers, 4. UNESCO, Paris, 185 pp.

    Google Scholar 

  • Edwards, A.J. (Editor), 1999b. Applications of satellite and airborne image data to coastal management. Coastal Regions and Small Islands Papers, 4. UNESCO, Paris, 185 pp.

    Google Scholar 

  • Foody, G. 2003. Remote sensing of tropical forest environments: towards the monitoring of environmental resources for sustainable development. International Journal of Remote Sensing, 24:4035-4046.

    Article  Google Scholar 

  • Green, E.P., P.J. Mumby, A.J. Edwards, and C.D. Clark. 1996. A review of remote sensing for the assessment and management of tropical coastal resources. Coastal management, 24:1-40.

    Article  Google Scholar 

  • Green, E.P., P.J. Mumby, A.J. Edwards, and C.D. Clark, C.D. 2000. Remote sensing handbook for tropical coastal management. UNESCO, Paris, 316 pp.

    Google Scholar 

  • Hill, G.J.E., G.D. Kelly, and S. Phinn 1994. Mangrove mapping in the Ba River Delta, Fiji, using SPOT data. Asian-Pacific Remote Sensing Journal, 7:1-8.

    Google Scholar 

  • Hochberg, E.J. and M.J. Atkinson. 2003. Capabilities of remote sensors to classify coral, algae, and sand as pure and mixed spectra. Remote Sensing of Environment, 85:174-189.

    Article  Google Scholar 

  • Holden, H. and E. LeDrew. 2002. Measuring and modeling water column effects on hyperspectral reflectance in a coral reef environment. Remote Sensing of Environment, 81:300-308.

    Article  Google Scholar 

  • Islam M.A., J. Gao, W. Ahmad, D. Neil, and P. Bell. 2003. Image calibration to like-values in mapping shallow water quality from multitemporal data. Photogrammetric Engineering and Remote Sensing, 69:567-575.

    Google Scholar 

  • Jensen, J.R., 1996. Introductory Digital Image Processing: A Remote Sensing Perspective. Second edition. Prentice Hall; Series in Geographic Information Science, 316 pp.

    Google Scholar 

  • Jinnahtul Islam, M., M. Shamsul Alam, and K. Maudood Elahi. 1997. Remote sensing for change detection in the Sunderbans, Bangladesh. Geocarto International, 12:91-100.

    Article  Google Scholar 

  • Joyce, K.E., M. Stanford, and S.R Phinn, S.R. 2002. A Survey of the Coral Reef Community: Assessing its Remote Sensing Needs. Backscatter, 13:20-24.

    Google Scholar 

  • Joyce, K.E., S.R. Phinn, C. Roelfsema, D.T. Neil, and W.C. Dennison. 2004. Combining Landsat ETM+ and Reef Check classifications for mapping coral reefs: A critical assessment from the southern Great Barrier Reef, Australia. Coral Reefs, 23:60-73.

    Google Scholar 

  • Kabuta, S.H. and R.W. Laane. 2003. Ecological performance indicators in the North Sea: development and application. Ocean and Coastal Management, 46:277-297.

    Article  Google Scholar 

  • Kuchler, D.A., D.L.B. Jupp, D.B.V.R. Claasen, and W. Bour. 1986. Coral reef remote sensing applications. Geocarto International, 4:3-15.

    Article  Google Scholar 

  • Lathrop, R.G., T.M. Lillesand, and B.S. Yandell. 1991. Testing the utility of simple multi-date Thematic Mapper calibration algorithms for monitoring turbid inland waters. International Journal of Remote Sensing, 12:2045-2063.

    Article  Google Scholar 

  • Lee, Z., K.L. Carder, R.F. Chen, and T.G. Peacock. 2001. Properties of the water column and bottom derived from airborne visible infrared imaging spectrometer (AVIRIS) data. Journal of Geophysical Research C: Oceans, 106:11639-11651.

    Article  Google Scholar 

  • Li, Z. and M. Kafatos 2000. Interannual variability of vegetation in the United States and its relation to El Nino/Southern Oscillation. Remote Sensing of Environment, 71:239-247.

    Article  Google Scholar 

  • Louchard, E.M., R.P. Reid, F.C. Stephens, C.O. Davis, R.A. Leathers, and T.V. Downes. 2003. Optical remote sensing of benthic habitats and bathymetry in coastal environments at Lee Stocking Island, Bahamas: A comparative spectral classification approach. Limnology and Oceanography, 48:511-521.

    Google Scholar 

  • Lunetta, R.S., Lyon, J.G., Guindon, B. and Elvidge, C.D., 1998. North american landscape characterization dataset development and data fusion issues. Photogrammetric Engineering and Remote Sensing, 64(8): 821-829.

    Google Scholar 

  • Maeder, J., S. Narumalani, D.C. Rundquist, R.L. Perk, J. Schalles, K. Hutchins, and J. Keck. 2002. Classifying and mapping general coral-reef structure using Ikonos data. Photogrammetric Engineering and Remote Sensing, 68:1297-1305.

    Google Scholar 

  • Malthus, T., and P. Mumby. 2003. Remote sensing of the coastal zone: an overview and priorities for future research. International Journal of Remote Sensing, 24:2805-2815.

    Article  Google Scholar 

  • Mas, J.F. 1999. Monitoring land-cover changes: A comparison of change detection techniques. International Journal of Remote Sensing, 20:139-152.

    Article  Google Scholar 

  • McCloy, K. 1994. Resource Management Information Systems. Process and practice. Taylor and Francis, Sydney, 415 pp.

    Google Scholar 

  • McKenzie, D.H., D.E. Hyatt, and V.J. McDonald (Eds.). 1992. Ecological Indicators. Volumes 1 and 2, Proceedings of an International Symposium, Elsevier Applied Science, Fort Lauderdale, FL, USA.

    Google Scholar 

  • Morel, A. 1977. Analysis of variations in ocean color. Limnology and Oceanography, 22:709-722.

    Article  Google Scholar 

  • Mumby, P.J. and A.J. Edwards. 2002. Mapping marine environments with IKONOS imagery: enhanced spatial resolution can deliver greater thematic accuracy. Remote Sensing of Environment, 82:248-257.

    Article  Google Scholar 

  • Mumby, P.J., A.R. Harborne, P.S. Raines, and J.M. Ridley. 1995. A critical assessment of data derived from Coral Cay conservation volunteers. Bulletin of Marine Science, 56:737-751.

    Google Scholar 

  • Mumby, P.J., C.D. Clark, E.P. Green, and A.J. Edwards. 1998. Benefits of water column correction and contextual editing for mapping coral reefs. International Journal of Remote Sensing, 19:203-210.

    Article  Google Scholar 

  • Mumby, P.J., E.P. Green, A.J. Edwards, and C.D. Clark. 1999. The cost-effectiveness of remote sensing for tropical coastal resources assessment and management. Journal of Environmental Management, 55: 157-166.

    Article  Google Scholar 

  • Neil, D.T., S.R. Phinn, and W. Ahmad. 2000. Reef zonation and cover mapping with Landsat Thematic Mapper data: intra and inter-reef patterns in the southern Great Barrier Reef region, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings Cat. No.00CH37120. 2000. IEEE, Piscataway, NJ, USA, pp. 1886-8 vol.5.

    Google Scholar 

  • Pal, S.R. and P.K. Mohanty. 2002. Use of IRS-1B data for change detection in water quality and vegetation of Chilka Lagoon, East Coast of India. International Journal of Remote Sensing, 23:1027-1042.

    Article  Google Scholar 

  • Palandro, D., S. Andrefouet, F.E. Muller Karger, and P.Dustan. 2001. Coral reef change detection using Landsats 5 and 7: A case study using Carysfort Reef in the Florida Keys. Scanning the Present and Resolving the Future. Proceedings, IEEE International Geoscience and Remote Sensing Symposium, 2:625-7.

    Google Scholar 

  • Palandro, D., S. Andréfouët, P. Dustan, and F. Muller-Karger. 2003a. Change detection in coral reef communities using Ikonos satellite sensor imagery and historic aerial photographs. International Journal of Remote Sensing, 24:873-878.

    Article  Google Scholar 

  • Palandro, D., S. Andréfouët, P. Dustan, and F. Muller-Karger. 2003b. Detection of changes in coral reef communities using Landsat 5/TM and Landsat 7/ETM+ Data. Canadian Journal of Remote Sensing, 29:207-209.

    Google Scholar 

  • Phinn, S.R. 1998a. A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and management. International Journal of Remote Sensing, 19:3457-3463.

    Article  Google Scholar 

  • Phinn, S.R. 1998b. A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and management. International Journal of Remote Sensing, 19:3457-3463.

    Article  Google Scholar 

  • Phinn, S. and T. Rowland. 2001. Geometric misregistration of Landsat TM image data and its effects on change detection accuracy. Asia-Pacific Remote Sensing Journal, 14:41-54.

    Google Scholar 

  • Phinn, S., A. Dekker, Eds. 2003. An Integrated Remote Sensing Approach for Adaptive Management of Complex Coastal Waters: The Moreton Bay Case Study. Coastal CRC Technical Report No. 23, 142 pp.

    Google Scholar 

  • Phinn, S., C. Menges, G.J.E. Hill, and M. Stanford. 2000a. Optimising remotely sensed solutions for monitoring, modelling and managing coastal environments. Remote Sensing of Environment, 73: 117-132.

    Article  Google Scholar 

  • Phinn, S.R., C. Menges, G.J.E. Hill, and M. Stanford. 2000b. Optimizing Remotely Sensed Solutions for Monitoring, Modeling and Managing Coastal Environments. Remote Sensing of Environment, 72: 117-132.

    Article  Google Scholar 

  • Phinn, S.R., D.T. Neil, K.E. Joyce, and W. Ahmad. 2000c. Coral reefs: a multi-scale approach to monitoring their composition and dynamics, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings Cat. No.00CH37120. 2000. IEEE, Piscataway, NJ, USA, pp. 2672-4 vol.6.

    Google Scholar 

  • Phinn, S., M. Stanford, A. Held, and C. Ticehurst. 2001a. Approaches for monitoring benthic and water column biophysical properties in Australian coastal environments, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium Cat. No.01CH37217. 2001. IEEE, Piscataway, NJ, USA, pp. 616-18 vol.2.

    Google Scholar 

  • Phinn, S., M. Stanford, A.Held, and C. Ticehurst. 2001b. Evaluating the feasibility of remote sensing for monitoring state of the wet tropics environmental indicators, Cooperative Research Centre for Tropical Rainforest Ecology and Managment, Cairns, 71 pp.

    Google Scholar 

  • Phinn, S., A. Held, M. Stanford, C. Ticehurst, and C. Simpson. 2002a. Optimising State of Environment Monitoring at multiple scales using remotely sensed data, Proceedings of the 11th Australasian Remote Sensing and Photogrammetry Conference. Causal Publications, Brisbane (CD).

    Google Scholar 

  • Phinn, S.R., J.M. Nightingale, and M. Stanford. 2002b. A national survey of remote sensing for environmental monitoring and management applications in Australia. GIS User, 51:26-27.

    Google Scholar 

  • Phinn, S., D. Stow, J. Franklin, L. Mertes, and J. Michaelsen. 2003. Remotely sensed data for ecosystem analyses: Combining hierarchy and scene models. Environmental Management, 31:429-441.

    Article  Google Scholar 

  • Rice, J. 2003. Environmental health indicators. Ocean and Coastal Management, 46:235-239.

    Article  Google Scholar 

  • Richards, J.A. 1996. Classifier performance and map accuracy. Remote Sensing of Environment, 57:161-166.

    Article  Google Scholar 

  • Roelfsema, C., S. Phinn, W.C. Dennison, A. Dekker, and V. Brando. 2001. Mapping Lyngbya majuscula blooms in Moreton Bay, Proceedings of the International Geosciences and Remote Sensing Symposium. IEEE-Piscataway NY, USA, Sydney, Australia (CD).

    Google Scholar 

  • Roelfsema, C., S. Phinn, W.C. Dennison, A. Dekker, and V. Brando. 2002. Monitoring cyanobacterial blooms of Lyngbya Majuscula in Moreton Bay, Australia by combining field techniques with remote sensing, Proceedings of the 11th Australasian Remote Sensing and Photogrammetry Conference. Causal Publications, Brisbane (CD).

    Google Scholar 

  • Rogan, J., J. Franklin, and D.A. Roberts. 2002. A comparison of methods for monitoring multitemporal vegetation change using thematic mapper imagery. Remote Sensing of Environment, 80:143-156.

    Article  Google Scholar 

  • Ruiz Luna, A. and C.A. Berlanga Robles. 1999. Modifications in coverage patterns and land use around the Huizache-Caimanero lagoon system, Sinaloa, Mexico: A multi-temporal analysis using LANDSAT images. Estuarine Coastal and Shelf Science, 49:37-44.

    Article  Google Scholar 

  • Smith, T., M. Sant, and B. Thom. 2001. Australian Estuaries: A Framework for Management. Cooperative Research Centre for Coastal Zone, Estuary and Waterway Management, Brisbane, 64 pp.

    Google Scholar 

  • Song, C., C.E. Woodcock, K.C. Seto, M.P. Lenney, and S.A. Macomber. 2001. Classification and change detection using Landsat TM data: When and how to correct atmospheric effects? Remote Sensing of Environment, 75:230-244.

    Article  Google Scholar 

  • Stehman, S.V. and R.L. Czaplewski. 1998. Design and analysis for thematic map accuracy assessment: Fundamental principles. Remote Sensing of Environment, 643:331-344.

    Article  Google Scholar 

  • Stumpf, R., K. Holderied, and Sinclair, M. 2003. Determination of water depth with high resolution satellite imagery over variable bottom types. Limnology and Oceanography, 48(1 part 2):547-556.

    Article  Google Scholar 

  • Tokola, T., S. Lofman, and A. Erkkila. 1999. Relative calibration of multitemporal landsat data for forest cover change detection. Remote Sensing of Environment, 68:1-11.

    Article  Google Scholar 

  • Townshend, J.R.G., C.O. Justice, C. Gurney, and J. McManus. 1992. The impact of misregistration on change detection. IEEE Transactions on Geoscience and Remote Sensing, 30:1054-60.

    Article  Google Scholar 

  • Treitz, P. (Ed.), 2003. Remote sensing for mapping and monitoring land-cover and land-use change. Progress in Planning, 61:267.

    Google Scholar 

  • Trepanier, I., J.M.M. Dubois, and F. Bonn. 2002. Study of the features of coastal evolution using remote sensing HRV and SPOT images: Application to the Red River Delta, Viet Nam. International Journal of Remote Sensing, 23:917-937.

    Article  Google Scholar 

  • Trinder, J.C. and T.K. Milne. 2003. Determining sustainability indicators by remote sensing. ISPRS-Highlights, 8:23-25.

    Google Scholar 

  • Vandermeulen, H. 1998. The development of marine indicators for coastal zone management. Ocean and Coastal Management, 39:63-71.

    Article  Google Scholar 

  • Viles, H. and T. Spencer. 1995. Coastal Problems: Geomorphology, Ecology and Society at the Coast. Edward Arnold, New York, 350 pp.

    Google Scholar 

  • Wallace, J. and N. Campbell. 1998. Evaluation of the feasibility of remote sensing for monitoring national state of the environment indicators, Department of Environment, Canberra, 93 pp.

    Google Scholar 

  • Watkinson, A. 2000. Ecophysiology of the marine cyanobacterium Lyngbya Majuscula (Oscillatoriacea). Honours Thesis, Queensland, Brisbane, 42 pp.

    Google Scholar 

  • Wilkinson, C., 2000. Status of Coral Reefs of the World: 2000. Australian Institute of Marine Science, Townsville, 363 pp.

    Google Scholar 

  • Yang, X. and C.P. Lo. 2000. Relative radiometric normalization performance for change detection from multi-date satellite images. Photogrammetric Engineering and Remote Sensing, 66:967-980.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centre for Remote Sensing & Spatial Information Science, The University of Queensland, 4072, Australia

    STUART PHINN

  2. Centre for Remote Sensing & Spatial Information Science, The University of Queensland, 4072, Australia

    KAREN JOYCE

  3. Centre for Remote Sensing & Spatial Information Science, The University of Queensland, 4072, Australia

    PETER SCARTH

  4. Centre for Remote Sensing & Spatial Information Science, School of Geograph, The University of Queensland, 4072, Australia

    CHRIS ROELFSEMA

Authors
  1. STUART PHINN
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. KAREN JOYCE
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. PETER SCARTH
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. CHRIS ROELFSEMA
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Florida International University, 33199, Miami, Florida, USA

    LAURIE L. RICHARDSON

  2. Department of Geography, University of Waterloo, Waterloo, ON, Canada

    ELLSWORTH F. LeDREW

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer

About this chapter

Cite this chapter

PHINN, S., JOYCE, K., SCARTH, P., ROELFSEMA, C. (2006). THE ROLE OF INTEGRATED INFORMATION ACQUISITION AND MANAGEMENT IN THE ANALYSIS OF COASTAL ECOSYSTEM C. In: RICHARDSON, L., LeDREW, E. (eds) Remote sensing of aquatic coastal ecosystem processes. Remote Sensing and Digital Image Processing, vol 9. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3968-9_10

Download citation

Publish with us

Policies and ethics

Search

Navigation