[
Andréfouët S., Kramer P., Torres-Pulliza D., Joyce K., Hochberg E., et al., 2003, Multi-site evaluation of IKONOS data for classification of tropical coral reef environment, Remote Sensing of Environment, 88, 128-14310.1016/j.rse.2003.04.005
]Search in Google Scholar
[
Blaschke T., Burnett C., Pekkarinen A., 2004, New contextual approaches using image segmentation for object-based classification, (in:) S. de Jong & F., van der Meer (Ed.), Remote Sensing Image Analysis: Including the spatial domain, Dordrecht, Boston, London: Kluwer Academic Publishers
]Search in Google Scholar
[
Boström C., Bonsdorff E., 1997, Community structure and spatial variation of benthic invertebrates associated with Zostera marina (L.) beds in the northern Baltic Sea, Journal of Sea Research, 37, 153-16610.1016/S1385-1101(96)00007-X
]Search in Google Scholar
[
Boström C., Jackson E.L., Simenstand C.A., 2006, Seagrass landscapes and their effects on associated fauna: A review, Estuarine, Coastal and Shelf Science, 68, 383-40310.1016/j.ecss.2006.01.026
]Search in Google Scholar
[
Congalton R., 1991, A review of assessing the accuracy of classification of remotely sensed data, Remote Sensing of Environment, 37, 35-4610.1016/0034-4257(91)90048-B
]Search in Google Scholar
[
Constanza R., d'Arge R., deGroot R., Farber S., Grasso M., et al., 1997, The value of the world's ecosystem services and natural capital, Nature, 387, 253-26010.1038/387253a0
]Search in Google Scholar
[
Cuevas-Jiménez A., Ardisson P., Condal A., 2002, Mapping of shallow coral reefs by colour aerial photography, International Journal of Remote Sensing, 23(18): 3697-371210.1080/01431160110075640
]Search in Google Scholar
[
Definiens Developer, 2007, User Guide (Munich: Definiens Imaging GmbH). Available online at: www.definiens.com
]Search in Google Scholar
[
Dekker A., Brando V., Anstee J., 2005, Retrospective seagrass change detection in a shallow coastal tidal Australian lake, Remote Sensing of Environment, 97, 415-43310.1016/j.rse.2005.02.017
]Search in Google Scholar
[
Water Frame Directive, 2000, Directive 2000/60/EC of The European Parliament and of the Council of 23 October 2000 establishing a framework for community action in the field of water policy, Official Journal of the European Communities, 327, 1-72
]Search in Google Scholar
[
eCognition, 2005, User Guide (Munich: Definiens Imaging GmbH). Available online at: www.definiens.com
]Search in Google Scholar
[
Elvidge C., Dietz J., Berkelmans R., Andréfouët S., Skirving W., Strong A., Tuttle B., 2004, Satellite observation of Kappel Islands (Great Barrier Reef) 2002 coral bleaching using IKONOS data, Coral Reefs, 23, 123-1310.1007/s00338-003-0364-8
]Search in Google Scholar
[
Foden J., Brazier D.P., 2007, Angiosperms (seagrass) within the EU water framework directive: A UK perspective, Marine Pollution Bulletin, 55, 181-19510.1016/j.marpolbul.2006.08.02117027036
]Search in Google Scholar
[
Fornes A., Basterretxea G., Orfila A., Jordi A., Alvarez A., Tintore J., 2006, Mapping Posidonia oceanica from IKONOSISPRS, Journal of Photogrammetry & Remote Sensing, 60, 315-32210.1016/j.isprsjprs.2006.04.002
]Search in Google Scholar
[
Green K., Lopez C., 2007, Using object-oriented classification of ADS40 data to map the benthic habitats of the state of Texas, Photogrammetric Engineering & Remote Sensing, 72(6): 665-67510.14358/PERS.72.6.665
]Search in Google Scholar
[
Jackson E.L., Attrill M.J., Rowden A.A., Jones M.B., 2006, Seagrass complexity hierarchies: Influence on fish groups around the coast of Jersey (English Channel).Journal of Experimental Marine Biology and Ecology, 330, 38-5410.1016/j.jembe.2005.12.016
]Search in Google Scholar
[
Kim M., Madden M., 2006, Determination of optimal scale parameters for alliance-level forest classification of multispectral IKONOS images. Proceedings of the 1st International Conference on Object-based Image Analysis (OBIA 2006)
]Search in Google Scholar
[
Krause-Jensen D., Greve T.M., Nielsen K., 2005, Eelgrass as a Bioindicator under the European Water Framework Directive, Water Resources Management, 19, 63-7510.1007/s11269-005-0293-0
]Search in Google Scholar
[
Kruk-Dowgiałło L., Szaniawska A., 2008, Gulf of Gdansk and Puck Bay (in:) Schiewer U. (Ed.), Ecology of Baltic Coastal Waters, Ecological Studies, 197, 139-16510.1007/978-3-540-73524-3_7
]Search in Google Scholar
[
Kutser T., Miller I., Jupp D., 2006, Mapping coral reef benthic substrates using hyperspectral space-borne images and spectral libraries, Estuarine, Coastal and Shelf Science, 70, 449-46010.1016/j.ecss.2006.06.026
]Search in Google Scholar
[
Lathrop R., Montesano P., Haag S., 2006, A multi-scale segmentation approach to mapping seagrass habitats using airborne digital camera imagery, Photogrammetric Engineering & Remote Sensing, 72(6): 665-67510.14358/PERS.72.6.665
]Search in Google Scholar
[
Lucieer V.L., 2008, Object-oriented classification on sidescan sonar data for mapping benthic marine habitats, International Journal of Remote Sensing, 29(3): 905-92110.1080/01431160701311309
]Search in Google Scholar
[
Lyzenga D.R., 1981, Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data, International Journal of Remote Sensing, 2, 71-8210.1080/01431168108948342
]Search in Google Scholar
[
Mumby P., Edwards A., 2002, Mapping marine environments with IKONOS imagery: enhanced spatial resolution can deliver greater thematic accuracy, Remote Sensing of Environment, 82, 248-2510.1016/S0034-4257(02)00041-X
]Search in Google Scholar
[
Pasqualini V., Pergent-Martini C., Pergent G., Agreil M., Skoufas G. et al., 2005, Use of SPOT 5 for mapping seagrasses: An application to Posidonia oceanica, Remote Sensing of Environment, 94, 39-4510.1016/j.rse.2004.09.010
]Search in Google Scholar
[
Pihl L., Baden S., Kautsky N., Rönnbäck P., Söderqvist T., et al., 2006, Shift in fish assemblage structure due to loss of seagrass Zostera marina habitats in Sweden, Estuarine, Coastal and Shelf Science, 67, 123-13210.1016/j.ecss.2005.10.016
]Search in Google Scholar
[
Pihl L., Wennhage H., 2002, Structure and diversity of fish assemblages on rocky and soft bottom shores on the Swedish west coast, Journal of Fish Biology, 61, 148-16610.1111/j.1095-8649.2002.tb01768.x
]Search in Google Scholar
[
Pliński M., Jóźwiak T., 2004, The distribution of the vegetation on the Polish coast of the Baltic Sea in 1996-2000, Oceanological and Hydrobiological Studies, 33(2): 29-40
]Search in Google Scholar
[
Robbins B.D., Bell S.S., 1994, Seagrass landscapes: A terrestrial approach to the marine subtidal environment, Trends Ecology and Evolution, 9, 301-30410.1016/0169-5347(94)90041-8
]Search in Google Scholar
[
Sagert S., Krause-Jensen D., Henriksen P., Rieling T., Shubert H., 2005, Integrated ecological assessment of Danish Baltic Sea coastal areas by means of phytoplankton and macrophytobenthos, Estuarine, Coastal and Shelf Science, 63(1-2): 109-11810.1016/j.ecss.2004.10.014
]Search in Google Scholar
[
Sleeman J.C., Kendrick G.A., Boggs G.S., Hegge J.J., 2005, Measuring fragmentation of seagrass landscape: which indices are most appropriate for detecting change?, Marine and Freshwater Research, 56, 851-86410.1071/MF04300
]Search in Google Scholar
[
Urbański J., Grusza G., Chlebus N., Kryla L., 2008, A GIS-based WFD oriented typology of shallow micro-tidal soft bottom using wave exposure and turbidity mapping, Estuarine, Coastal and Shelf Science, 78, 27-3710.1016/j.ecss.2007.11.025
]Search in Google Scholar
[
VirtualDub Editor 1.7.6 software. Available online at: http://www.esoft.web.id/audio-video/freedownload-virtualdub-1.7.6.html
]Search in Google Scholar
[
Ward L., Kemp W., Boynton W., 1984, Influence of waves and seagrass communities on suspended particulates in an estuarine embayment, Marine Geology, 59(1-4): 85-10310.1016/0025-3227(84)90089-6
]Search in Google Scholar