Abstract
The focus of this chapter lies in describing digital multispectral and hyperspectral remote sensing developments and applications in the mapping and monitoring of seagrass ecosystems. Multispectral refers to a sensor that registers light in a limited number of relatively broad spectral bands (bandwidths of 20–60 nm); hyperspectral (also referred to as imaging spectrometry) is defined for sensors that measure the entire spectrum under consideration in contiguous narrow spectral bands (bandwidths between 2 and 20 nm).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aas E (1987) Two-stream irradiance model for deepwaters. Appl Opt 26: 2095–2101
Alberotanza L, Brando VE, Ravagnan G and Zandonella A (1999) Hyperspectral aerial images. A valuable tool for submerged vegetation recognition in the Orbetello Lagoons, Italy. Int J Remote Sensing 20: 523–533
Andrefouet S, Payri C, Hochberg EJ, Mao Che L and Atkinson M (2003) Airborne hyperspectral detection of microbial mat pigmentation in Rangiroa atoll (French Polynesia). Limnol Oceanogr 48: 426–430
Anstee JM, Dekker AG and Brando VE (2004) Retrospective change detection in a shallow coastal tidal lake: Mapping seagrasses in Wallis Lake, Australia. In: Analysis of Multitemporal remote sensing images, Series in Remote Sensing, Vol 3, pp 277–285. World Scientific Publishing Co., Singapore
Bajjouk T, Guillaumont B and Populus J (1996) Application of airborne imaging spectrometry system data to intertidal seaweed classification and mapping. Hydrobiologia 326/327: 463–471
Bierwirth PN, Lee TJ and Burne RV (1993) Shallow sea-floor reflectance and water depth derived by unmixing multispectral imagery. Photogrammetric Eng Remote Sensing 59: 331–338
Clark CD, Ripley HT, Green EP, Edwards AJ and Mumby PJ (1997) Mapping and measurement of tropical coastal environments with hyperspectral and high spatial resolution data. Int J Remote Sensing 18: 237–242
DekkerAG, Brando VE, Anstee JM, PinnelN, Kutser T, Hoogenboom J, Peters SWM, Pasterkamp R, Vos RJ, Olbert C and Malthus TJ (2001) Imaging spectrometry of water. Imaging Spectrometry: Basic Principles and Prospective Applications, IV, pp 307–359. Kluwer Academic Publishers, Dordrecht, The Netherlands
Dierssen H, Zimmerman RC, Leather RA, Downes V and Davis CO (2003) Ocean color remote sensing of seagrass and bathymetry in the Bahamas Banks by high resolution airborne imagery. Limnol Oceanogr 48: 444–455
Fyfe SK (2003) Spatial and temporal variation in spectral reflectance: Are seagrass species spectrally distinct? Limnol Oceanogr 48: 464–479
Green EP and Short FT (eds) (2003)World Atlas of Seagrasses, p 310. University of California Press, LA
Hochberg EJ and Atkinson MJ (2000) Spectral discrimination of coral reef benthic communities. Coral Reefs 19: 164–171
Hochberg EJ, Atkinson MJ and Andréfouët S (2003) Spectral reflectance of coral reef bottom-types worldwide and implications for coral reef remote sensing. Remote Sensing Environ 85: 159–173
Holden H and Ledrew E (1999) Hyperspectral identification of coral reef features. International Journal of Remote Sensing, 20: 2545–2563
Jakubauskas ME, Kindscher K, Fraser A, Debinski DM and Price KP (2000) Close-range remote sensing of aquatic macrophyte vegetation cover. Int J Remote Sensing 21: 3533–3538
Jensen JR, Rutchey K, Koch MS and Narumalani S (1995) Inland wetland change detection in the everglades water conservation area 2a using a time-series of normalized remotely-sensed data. Photogrammetric Eng Remote Sensing 61: 199–209
Joyce K and Phinn SR (2003) Hyperspectral analysis of chlorophyll content and photosynthetic capacity of coral reef substances. Limnol Oceanogr 48: 489–496
Karpouzli E, Malthus TJ and Place CJ (2004) Hyperspectral discrimination of coral reef benthic communities in the western Caribbean. Coral Reefs 23: 141–151
Karpouzli E, Malthus TJ, Place C, Mitchell Chui A, Ines Garcia M and Mair JD (2003) Underwater light characterisation for correction of remotely sensed images. Int J Remote Sensing 24: 2683–2702
Kirk JTO (1989) The upwelling light stream in natural waters. Limnol Oceanogr 34: 1410–142
Kirk JTO (1994) Light and photosynthesis in aquatic ecosystems. University Press, Cambridge, UK 509 pp
Kutser T, Dekker AG and Skirving W (2003) Modeling spectral discrimination of Great Barrier Reef benthic communities by remote sensing instruments. Limnol Oceanogr 48: 497–510
Louchard EM, Reid P, Stephens C, Davis CO, Leathers RA and Downes V (2003) Optical remote sensing of habitats and bathymetry in coastal environments at Lee Stocking Island, Bahamas. A comparative spectral classification approach. Limnol Oceanogr 48: 511–521
LubinD, LiW, Dustan P, Mazel C and Stamnes K (2001) Spectral signatures of coral reefs: Features from space. Remote Sensing Environ 75: 127–137
Macleod RD and Congalton RG (1998) A quantitative comparison of change-detection algorithms for monitoring eelgrass from remote sensing data. Photogrammetric Eng Remote Sensing 64: 207–216
Malthus TJ, Best EPH and Dekker AG (1990) An assessment of the importance of emergent and floating-leaved macrophytes to trophic status in the Loosdrecht Lakes (The Netherlands). Hydrobiologia 191: 257–263
Malthus TJ and George DG (1997) Airborne remote sensing of macrophytes in Cefni Reservoir, Anglesey, UK. Aquat Bot 58: 317–332
Malthus TJ and Karpouzli E (2003) Integrating field and high spatial resolution satellite based methods for monitoring shallow submersed aquatic habitats in the Sound of Eriskay, Scotland, UK. Int J Remote Sensing 24: 2585–2593
Malthus TJ and Mumby PJ (2003) Remote sensing of the coastal zone: An overview and priorities for future research. Int J Remote Sensing 24: 2805–2815
Maritorena S, Morel A and Gentili B (1994) Diffuse reflectance of oceanic shallowwaters: Influence ofwater depth and bottom albedo. Limnol Oceanogr 39: 1689–1703
Mobley CD (1994) Light and water; Radiative transfer in natural waters. Academic Press, London, 592 pp
Mumby PJ and Edwards AJ (2002) Mapping marine environments with IKONOS imagery: Enhanced spatial resolution can deliver greater thematic accuracy. Remote Sensing Environ 82: 248–257
Mumby PJ, Green EP, Clark CD and Edwards AJ (1998) Digital analysis of multispectral airborne imagery of coral reefs. Coral Reefs 17: 59–69
Mumby PJ, Green EP, Edwards AJ and Clark CD (1997a) Coral reef habitat mapping: How much detail can remote sensing provide? Mar Biol 130: 193–202
Mumby PJ, Green EP, Edwards AJ and Clark CD (1997b) Measurement of seagrass standing crop using satellite and digital airborne remote sensing. Mar Ecol Prog Ser 159: 51–60
Mumby PJ, Green EP, Edwards AJ and Clark CD (1999) The cost effectiveness of remote sensing for tropical coastal resources and management. J Environ Manage 55: 157–166
Myers MR, Hardy JT, Mazel CH and Dustan P (1999) Optical spectra and pigmentation of Caribbean reef corals and macroalgae. Coral Reefs 18: 179–186
Pasqualini Y, Pergent-Martini C, Clabaut P, Morteel H and Pergent G (2001) Integration of aerial remote sensing, photogrammetry and GIS technology in seagrass mapping. Photogrammetric Eng Remote Sensing 67: 99–105
Philpot WD and Vodacek A (1989) Laser-induced fluorescence: limits to the remote detection of hydrogen ion, aluminium, and dissolved organic matter. Remote Sens Environ, 29: 51–65
Robblee MB, Barber TR, Carlson PR, Jr, Durako MJ, Fourqurean JW, Muehlstein LK, Porter D, Yarbro LA, Zieman RT and Zieman JC (1991) Mass mortality of the tropical seagrass Thalassia testudinum in Florida Bay. (USA). Mar Ecol Prog Ser 71: 297–299
Short FT and Coles RG (eds) (2001) Global Seagrass Research Methods, p 482. Elsevier Publishing Co., Amsterdam
Thomson AG, Fuller RM, Sparks TH, Yates MG and Eastwood JA (1998) Ground and airborne radiometry over intertidal surfaces: Waveband selection for cover classification. Int J Remote Sensing 19: 1189–1205
Ward DH, Markon CJ and Douglas DC (1996) Distribution and stability of eelgrass beds at Izembek Lagoon, Alaska. Aquat Bot 58: 229–240
Zacharias M, Niemann O and Borstad G (1992) An assessment and classification of a multispectral band set for the remote sensing of intertidal seaweeds. Can J Remote Sensing 18: 263–274
Zainal AJM, Dalby DH and Robinson IS (1993) Monitoring marine ecological changes on the east coast of Bahrain with Landsat TM. Photogrammetric Eng Remote Sensing 59: 415–421
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer
About this chapter
Cite this chapter
Dekker, A., Brando, V., Anstee, J., Fyfe, S., Malthus, T., Karpouzli, E. (2007). Remote Sensing of Seagrass Ecosystems: Use of Spaceborne and Airborne Sensors. In: SEAGRASSES: BIOLOGY, ECOLOGYAND CONSERVATION. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-2983-7_15
Download citation
DOI: https://doi.org/10.1007/978-1-4020-2983-7_15
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-2942-4
Online ISBN: 978-1-4020-2983-7
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)