Articles | Volume 20, issue 8
https://doi.org/10.5194/hess-20-3207-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3207-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A review of marine geomorphometry, the quantitative study of the seafloor
Vincent Lecours
CORRESPONDING AUTHOR
Marine Geomatics Research Lab, Department of Geography, Memorial
University of Newfoundland, St. John's, A1B 3X9, Canada
Margaret F. J. Dolan
Geological Survey of Norway, P.O. Box 6315 Sluppen, 7491 Trondheim,
Norway
Aaron Micallef
Marine Geology and Seafloor Surveying, Department of Geosciences,
University of Malta, Msida, MSD 2080, Malta
Vanessa L. Lucieer
Institute for Marine and Antarctic Studies, University of Tasmania,
Hobart, 7004, Australia
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James M. Ciarlò, Monique Borg Inguanez, Erika Coppola, Aaron Micallef, and David Mifsud
EGUsphere, https://doi.org/10.5194/egusphere-2024-1954, https://doi.org/10.5194/egusphere-2024-1954, 2024
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Climate change threatens biodiversity, especially arthropods, which can significantly impact the stability of ecosystems. This study introduces an index to assess habitat suitability for Mediterranean arthropods using climate model data. The index can indicate how climate change could affect arthropod habitats, provided there is an abundant initial dataset of observations for the species of interest.
This article is included in the Encyclopedia of Geosciences
Steven Y. J. Lai, David Amblas, Aaron Micallef, and Hervé Capart
Earth Surf. Dynam., 12, 621–640, https://doi.org/10.5194/esurf-12-621-2024, https://doi.org/10.5194/esurf-12-621-2024, 2024
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This study explores the creation of submarine canyons and hanging-wall fans on active faults, which can be defined by gravity-dominated breaching and underflow-dominated diffusion processes. The study reveals the self-similarity in canyon–fan long profiles, uncovers Hack’s scaling relationship and proposes a formula to estimate fan volume using canyon length. This is validated by global data from source-to-sink systems, providing insights into deep-water sedimentary processes.
This article is included in the Encyclopedia of Geosciences
Damian L. Arévalo-Martínez, Amir Haroon, Hermann W. Bange, Ercan Erkul, Marion Jegen, Nils Moosdorf, Jens Schneider von Deimling, Christian Berndt, Michael Ernst Böttcher, Jasper Hoffmann, Volker Liebetrau, Ulf Mallast, Gudrun Massmann, Aaron Micallef, Holly A. Michael, Hendrik Paasche, Wolfgang Rabbel, Isaac Santos, Jan Scholten, Katrin Schwalenberg, Beata Szymczycha, Ariel T. Thomas, Joonas J. Virtasalo, Hannelore Waska, and Bradley A. Weymer
Biogeosciences, 20, 647–662, https://doi.org/10.5194/bg-20-647-2023, https://doi.org/10.5194/bg-20-647-2023, 2023
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Groundwater flows at the land–ocean transition and the extent of freshened groundwater below the seafloor are increasingly relevant in marine sciences, both because they are a highly uncertain term of biogeochemical budgets and due to the emerging interest in the latter as a resource. Here, we discuss our perspectives on future research directions to better understand land–ocean connectivity through groundwater and its potential responses to natural and human-induced environmental changes.
This article is included in the Encyclopedia of Geosciences
Alexander L. Forrest, Lars C. Lund-Hansen, Brian K. Sorrell, Isak Bowden-Floyd, Vanessa Lucieer, Remo Cossu, and Ian Hawes
The Cryosphere Discuss., https://doi.org/10.5194/tc-2016-186, https://doi.org/10.5194/tc-2016-186, 2016
Revised manuscript not accepted
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Measuring light conditions across sub-kilometer underwater transects of sea-ice in McMurdo Sound, Antarctica with an Autonomous Underwater Vehicle (AUV), we were able to derive estimates of ice algae biomass living at the ice/ocean interface at an unprecedented resolution. Characterizing ice algae communities at the appropriate scales of ecosystem variability is critical to understanding present day conditions and to predict how ecosystem response under future climate change scenarios.
This article is included in the Encyclopedia of Geosciences
Related subject area
Subject: Coasts and Estuaries | Techniques and Approaches: Remote Sensing and GIS
Assessing land elevation in the Ayeyarwady Delta (Myanmar) and its relevance for studying sea level rise and delta flooding
Processing and performance of topobathymetric lidar data for geomorphometric and morphological classification in a high-energy tidal environment
Katharina Seeger, Philip S. J. Minderhoud, Andreas Peffeköver, Anissa Vogel, Helmut Brückner, Frauke Kraas, Nay Win Oo, and Dominik Brill
Hydrol. Earth Syst. Sci., 27, 2257–2281, https://doi.org/10.5194/hess-27-2257-2023, https://doi.org/10.5194/hess-27-2257-2023, 2023
Short summary
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Accurate elevation data is essential for flood risk assessment. We assess land elevation to local mean sea level of the Ayeyarwady Delta with a new, local DEM based on geodetic data and evaluate the performance of 10 global DEMs in an SLR impact assessment. Our study reveals major differences in performance between global DEMs and consequentially introduced uncertainty in SLR impact assessments, indicating potential similar uncertainties for other data-poor coastal lowlands around the world.
This article is included in the Encyclopedia of Geosciences
Mikkel Skovgaard Andersen, Áron Gergely, Zyad Al-Hamdani, Frank Steinbacher, Laurids Rolighed Larsen, and Verner Brandbyge Ernstsen
Hydrol. Earth Syst. Sci., 21, 43–63, https://doi.org/10.5194/hess-21-43-2017, https://doi.org/10.5194/hess-21-43-2017, 2017
Short summary
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The transition zone between land and water is difficult to map due to shallow water depth and often challenging environmental conditions. Airborne topobathymetric lidar is capable of providing both topographic and bathymetric elevation information, resulting in a seamless coverage of the land–water transition zone. We present the processing and performance of topobathymetric lidar data along with a geomorphometric and morphological classification of landforms in a high-energy tidal environment.
This article is included in the Encyclopedia of Geosciences
Cited articles
Adams, E. W. and Schlager, W.: Basic types of submarine slope curvature, J. Sediment. Res., 70, 814–828, 2000.
Anderson, M. G. and Ferree, C. E.: Conserving the stage: climate change and the geophysical underpinnings of species diversity, PLOS One, 5, e11554, https://doi.org/10.1371/journal.pone.0011554, 2010.
Arifin, R. R. and Kennedy, A. B.: The evolution of large scale crescentic bars on the northern Gulf of Mexico coast, Mar. Geol., 285, 46–58, 2011.
Bakran-Petricioli, T., Antonić, O., Bukovec, D., Petricioli, D., Janeković, I., Križan, J., Kušan, V., and Dujmović, S.: Modelling spatial distribution of the Croatian marine benthic habitats, Ecol. Model., 191, 96–105, 2006.
Becker, J. J., Sandwell, D. T., Smith, W. H. F., Braud, J., Binder, B., Depner, J., Fabre, D., Factor, J., Ingalls, S., Kim, S.-H., Ladner, R., Marks, K., Nelson, S., Pharaoh, A., Trimmer, R., Von Rosenberg, J., Wallace, G., and Weatherall, P.: Global bathymetry and elevation data at 30 arc seconds resolution: SRTM30_PLUS, Mar. Geod., 32, 355–371, 2009.
Benz, U. C., Hofmann, P., Willhauck, G., Lingenfelder, I., and Heynen, M.: Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information, ISPRS J. Photogramm., 58, 239–258, 2004.
Berkson, J. M. and Matthews, J. E.: Statistical properties of seafloor roughness, in: Acoustics in the Sea-bed, Bath University Press, Bath, UK, 215–223, 1984.
Bernstein, D. J., Sumners, B. J., Freeman, C. W., and Mitasova, H.: Modern techniques for improved topo/bathy elevation modelling of tidal inlets, U.S. Hydro 2011, 1–11, 2011.
Bishop, M. P., James, L. A., Shroder Jr., J. F., and Walsh, S. J.: Geospatial technologies and digital geomorphological mapping: concepts, issues and research, Geomorphology, 137, 5–26, 2012.
Blaschke, T., Hay, G. J., Kelly, M., Lang, S., Hofmann, P., Addink, E., Queiroz Feitosa, R., van der Meer, F., van der Werff, H., van Coillie, F., and Tiede, D.: Geographic object-based image analysis – towards a new paradigm, ISPRS J. Photogramm., 87, 180–191, 2014.
Blaszczynski, J. S.: Landform characterization with geographic information systems, Photogramm. Eng. Rem. S., 63, 183–191, 1997.
Blondel, P. and Murton, B. J.: Interpretation of sidescan sonar imagery, John Wiley, Chichester, UK, 1997.
Blondel, P., Parson, L. M., and Robigou, V.: TexAn: Textural analysis of sidescan sonar imagery and generic seafloor characterisation, Oceans-IEEE, 419–423, 1998.
Booth, J. S. and O'Leary, D. W.: A statistical overview of mass movement characteristics on the North American Atlantic Outer Continental Margin, Mar. Geotechnol., 10, 1–18, 1991.
Brock, J. C. and Purkis, S. J.: The emerging role of LiDAR remote sensing in coastal research and resource management, J. Coastal Res., 53, 1–5, 2009.
Brown, C. J., Smith, J. A., Lawton, P., and Anderson, J. T.: Benthic habitat mapping: a review of progress towards improved understanding of the spatial ecology of the seafloor using acoustic techniques, Estuar. Coast. Shelf S., 92, 502–520, 2011.
Brown, C. J., Sameoto, J. A., and Smith, S. J.: Multiple methods, maps, and management applications: purpose made seafloor maps in support of ocean management, J. Sea Res., 72, 1–13, 2012.
Bøe, R., Skarðhamar, J., Rise, L., Dolan, M. F., Bellec, V. K., Winsborrow, M., Skagseth, Ø., Knies, J., King, E. L., Walderhaug, O., and Chand, S.: Sandwaves and sand transport on the Barents Sea continental slope offshore northern Norway, Mar. Petrol. Geol., 60, 34–53, 2015.
Burrough, P. A.: Principles of Geographic Information Systems for Land Resource Assessment, Monographs on Soil Resources Survey 12, Oxford Science Publications, New York, USA, 193 pp., 1986.
Burrows, M. T., Robb, L., Nickell, L. A., and Hughes, D. J.: Topography as a determinant of search paths of fishes and mobile macrocrustacea on the sediment surface, J. Exp. Mar. Biol. Ecol., 285–286, 235–249, 2003.
Buscarnera, G. and Di Prisco, C.: Soil stability and flow slides in unsaturated shallow slopes: can saturation events trigger liquefaction processes?, Geotechnique, 63, 801–817, 2013.
Calder, B.: Automatic statistical processing of multibeam echosounder data, Int. Hydrogr. Rev., 4, 53–68, 2003.
Calder, B. and Mayer, L. A.: Automatic processing of high-rate, high-density multibeam echosounder data, Geochem. Geophy. Geosy., 4, 1048–1070, 2003.
Calmant, S. and Baudry, N.: Modelling bathymetry by inverting satellite altimetry data: a review, Mar. Geophys, Res., 18, 123–134, 1996.
Calvert, J., Strong, J. A., Service, M., McGonigle, C., and Quinn, R.: An evaluation of supervised and unsupervised classification techniques for marine benthic habitat mapping using multibeam echosounder data, ICES J. Mar. Sci., 72, 1498–1513, 2015.
Cameron, M. J., Lucieer, V., Barrett, N. S., Johnson, C. R., and Edgar, G. J.: Understanding community-habitat associations of temperate reef fishes using fine-resolution bathymetric measures of physical structure, Mar. Ecol.-Prog. Ser., 506, 213–229, 2014.
Carbonneau, P. E., Lane, S. N., and Bergeron, N.: Feature based image processing methods applied to bathymetric measurements from airborne remote sensing in fluvial environments, Earth Surf. Proc. Land., 31, 1413–1423, 2006.
Carmichael, D. R., Linnett, L. M., Clarke, S. J., and Calder, B. R.: Seabed classification through multifractal analysis of sidescan sonar imagery, IEE P-Radar Son. Nav., 143, 140–148, 1996.
Carrara, A., Bitelli, G., and Carla, R.: Comparison of techniques for generating digital terrain models from contour lines, Int. J. Geogr. Inf. Sci., 11, 451–473, 1997.
Carron, M. J., Vogt, P. R., and Jung, W.-Y.: A proposed international long-term project to systematically map the world's ocean floors from beach to trench: GOMaP (Global Ocean Mapping Program), Int. Hydrogr. Rev., 2, 49–55, 2001.
Carson, M. A. and Kirby, M. J.: Hillslope form and process, Cambridge University Press, Cambridge, UK, 475 pp., 1972.
Carter, D. C.: Channel and sandstone body geometry from 3-D seismic and well control in Widuri Field, Offshore SE Sumatra, Indonesia, AAPG Bull., 87, 909–934, 2003.
Casalbore, D., Romagnoli, C., Bosman, A., and Chiocci, F.: Potential tsunamigenic landslides at Stromboli Volcano (Italy): Insight from marine DEM analysis, Geomorphology, 126, 42–50, 2011.
Chakraborty, B., Schenke, H. W., Kodagali, V., and Hagen, R.: Analysis of multibeam-Hydrosweep echo peaks for seabed characterisation, Geo-Mar. Lett., 20, 174–181, 2001.
Chorley, R. J., Malm, D. E. C., and Pogorzelski, H. A.: A new standard for measuring drainage basin shape, Am. J. Sci., 255, 138–141, 1957.
Chust, G., Grande, M., Galparsoro, I., Uriarte, A., and Borja, Á.: Capabilities of the bathymetric Hawk Eye LiDAR for coastal habitat mapping: a case study within a Basque estuary, Estuar. Coast. Shelf S., 89, 200–213, 2010.
Coggan, R. A. and Diesing, M.: Rock ridges in the central English Channel, in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 471–480, 2012.
Collet, C., Provost, J.-N., Rostaing, P. Perez, P., and Bouthemy, P.: SPOT satellite data analysis for bathymetric mapping, IEEE Image Proc., 3, 464–467, 2000.
Collier, J. S. and Humber, S. R.: Fringing reefs of the Seychelles inner granitic islands, western Indian Ocean, in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 340–347, 2012.
Collin, A., Long, B., and Archambault, P.: Merging land-marine realms: spatial patterns of seamless coastal habitats using a multispectral LiDAR, Remote Sens. Environ., 123, 390–399, 2012.
Copeland, A., Edinger, E., Devillers, R., Bell, T., LeBLanc, P., and Wroblewski, J.: Marine habitat mapping in support of Marine Protected Area management in a subarctic fjord: Gilbert Bay, Labrador, Canada, J. Coast. Conserv., 17, 225–237, 2013.
Costa, B. M. and Battista, T. A.: The semi-automated classification of acoustic imagery for characterizing coral reef ecosystems, Int. J. Remote Sens., 34, 6389–6422, 2013.
Costa, B. M., Battista, T. A., and Pittman, S. J.: Comparative evaluation of airborne LiDAR and ship-based multibeam SoNAR bathymetry and intensity for mapping coral reef ecosystems, Remote Sens. Environ., 113, 1082–1100, 2009.
Cushman-Roisin, B. and Beckers, J.-M.: Introduction to geophysical fluid dynamics, 2nd edition, Academic Press, MA, USA, 875 pp., 2011.
Czarnecki, M. F. and Bergin, J. M.: Characteristics of the two-dimensional spectrum of roughness on a seamount. Naval Research Laboratory, Washington, D.C., USA, NRL Report 9022, 26 pp., 1986.
Dartnell, P. and Gardner, J. V.: Predicting seafloor facies from multibeam bathymetry and backscatter data, Photogramm. Eng. Rem. S., 70, 1081–1091, 2004.
Davies, A. J., Wisshak, M., Orr, J. C., and Roberts, J. M.: Predicting suitable habitat for the cold-water coral Lophelia pertusa (Scleractinia), Deep-Sea Res. Pt I, 55, 1048–1062, 2008.
Dekker, A. G., Phinn, S. R., Anstee, J., Bissett, P., Brando, V. E., Casey, B., Fearns, P., Hedley, J., Klonowski, W., Lee, Z. P., Lynch, M., Lyons, M., Mobley, C., and Roelfsema, C.: Intercomparison of shallow water bathymetry, hydro-optics, and benthos mapping techniques in Australian and Caribbean coastal environments, Limnol. Oceanogr.-Meth., 9, 396–425, 2011.
De Moustier, C.: State of the art in swath bathymetry survey systems, Int. Hydrogr. Rev., 65, 25–54, 1988.
De Moustier, C. and Matsumoto, H.: Seafloor acoustic remote sensing with multibeam echo-sounders and bathymetric sidescan sonar system, Mar. Geophys. Res., 15, 27–42, 1993.
Devillers, R., Bédard, Y., Gervais, M., Jeansoulin, R., Pinet, F., Schneider, M., Bejaoui, L., Lévesque, M.-A., Salehi, M., and Zargar, A.: How to improve geospatial data usability: from metadata to quality-aware GIS community, in: Spatial data usability, an AGILE pre-conference workshop, Proceedings of the 10th AGILE International Conference on Geographic Information Science, Aalborg, Denmark, AGILE (Association of Geographic Information Laboratories in Europe), 1–8, 2007.
Diesing, M., Green, S. L., Stephens, D., Lark, R. M., Stewart, H. A., and Dove, D.: Mapping seabed sediments: comparison of manual, geostatistical, object-based image analysis and machine learning approaches, Cont. Shelf Res., 84, 107–119, 2014.
Dimri, A. P., Yasunari, T., Wiltshire, A., Kumar, P., Mathison, C., Ridley, J., and Jacob, D.: Application of regional climate models to the Indian winter monsoon over the western Himalayas, Sci. Total Environ., 468–469, S36–S47, 2013.
Dixon, T. H., Naraghi, M., McNutt, M. K., and Smith, S. M.: Bathymetric prediction from SEASAT altimeter data, J. Geophys, Res., 88, 1563–1571, 1983.
Dolan, M. F., Grehan, A. J., Guinan, J. C., and Brown, C.: Modelling the local distribution of cold-water corals in relation to bathymetric variables: Adding spatial context to deep-sea video data, Deep Sea Res. Pt I, 55, 1564–1579, 2008.
Dolan, M. F. J. and Lucieer, V. L.: Variation and uncertainty in bathymetric slope calculations using geographic information systems, Mar. Geod., 37, 187–219, 2014.
Dolan, M. F. J., Thorsnes, T., Leth, J., Al-Hamdani, Z., Guinan, J., and Van Lancker, V.: Terrain characterization from bathymetry data at various resolutions in European waters – experiences and recommendations, NGU Report 2012.045, Geological Survey of Norway, Trondheim, Norway, 2012.
Dong, J., Zhuang, D., Huang Y., and Fu, J.: Advance in multi-sensor data fusion: algorithms and applications, Sensors, 9, 7771–7784, 2009.
Douglas, B. C., McAdoo, D. C., and Cheney, R. E.: Oceanographic and geophysical applications of satellite altimetry, Rev. Geophys., 25, 875–880, 1987.
Dowling, D. R. and Sabra, K. G.: Acoustic remote sensing, Annu. Rev. Fluid Mech., 47, 221–243, 2015.
Drăguţ, L. and Blaschke, T.: Automated classification of landform elements using object-based image analysis, Geomorphology, 81, 330–344, 2006.
Drăguţ, L. and Eisank, C.: Object representations at multiple scales from digital elevation models, Geomorphology, 129, 183–189, 2011.
Drăguţ, L., Eisank, C., and Strasser, T.: Local variance for multi-scale analysis in geomorphometry, Geomorphology, 130, 162–172, 2011.
Duffy, G. P. and Hughes-Clarke, J. E.: Application of spatial cross correlation to detection of migration of submarine sand dunes, J. Geophys. Res.-Earth, 110, 1–11, 2005.
Dunkin, L. M. and McCormick, J.: Monitoring shore protection projects along the Florida panhandle using three-dimensional spatial data. Coastal Engineering Practice – Proceedings of the 2011 Conference on Coastal Engineering Practice, 742–752, 2011.
Dunkin, L. M., Wozencraft, J. M., and McCormick, J.: Changes to geomorphic and bathymetric features due to extreme storm events near East Pass inlet, Florida, Solutions to Coastal Disasters 2011, 176–187, 2011.
Dunn, D. C. and Halpin, P. N.: Rugosity-based regional modeling of hard-bottom habitat, Mar. Ecol. Prog. Ser, 377, 1–11, 2009.
Du Preez, C.: A new arc–chord ratio (ACR) rugosity index for quantifying three-dimensional landscape structural complexity, Landscape Ecol., 30, 181–192, 2015.
Eisank, C., Smith, M., and Hillier, J.: Assessment of multiresolution segmentation for delimiting drumlins in digital elevation models, Geomorphology, 214, 452–464, 2014.
Elvenes, S.: Landscape mapping in MAREANO, NGU report 2013.035, Geological Survey of Norway, Trondheim, Norway, 2013.
Elvenes, S., Dolan, M. F., Buhl-Mortensen, P., and Bellec, V. K.: An evaluation of compiled single-beam bathymetry data as a basis for regional sediment and biotope mapping, ICES J. Mar. Sci., 71, 867–881, 2014.
EMODnet: European Marine Observation and Data Network (EMODnet) bathymetry portal, available at: http://www.emodnet-hydrography.eu/ (last access: 3 August 2016), 2015.
Erikstad, L., Bakkestuen, V., Bekkby, T., and Halvorsen, R.: Impact of scale and quality of digital terrain models on predictability of seabed terrain types, Mar. Geod., 36, 2–21, 2013.
Eugenio, F., Marcello, J., and Martin, J.: High-resolution maps of bathymetry and benthic habitats in shallow-water environments using multispectral remote sensing imagery, IEEE T. Geosci. Remote, 53, 3539–3549, 2015.
Evans, I. S.: General geomorphometry, derivatives of altitude, and descriptive statistics, in Spatial Analysis in Geomorphology, Methuen, London, UK, 17–90, 1972.
Evans, I. S.: An integrated system of terrain analysis and slope mapping, Z Geomorphol. Supp., 36, 274–295, 1980.
Evans, I. S.: General geomorphometry, in: Geomorphological techniques, 2nd Edn., Taylor and Francis, New York, USA, 49–62, 2003.
Evans, I. S.: Land surface derivatives: history, calculation and further development, in: Geomorphometry 2013, Nanjing, China, K3-1–K3-4, 2013.
Evans, I. S. and Minár, J.: A classification of geomorphometric variables, in Geomorphometry 2011, Redlands, USA, 105–108, 2011.
Ezhova, E., Dorokhov, D., Sivkov, V., Zhamoida, V., Ryabchuk, D., and Kocheshkova, O.: Benthic habitats and benthic communities in Southeastern Baltic Sea, Russian sector, in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 613–621, 2012.
Fachmi, M. and Wood, L.: Quantitative seismic geomorphology of Belanak and Gabus fields, West Natuna Basin, Indonesia, AAPG Ann. Meet., 51–52, 2003.
Fernandes, M. J., Bastos, L., and Catalão, J.: The role of multi-mission ERS altimetry in the determination of the marine geoid in the Azores, Mar. Geod., 23, 1–16, 2000.
Feurer, D., Bailly, J.-S., Puech, C., Le Coarer, Y., and Viau, A. A.: Very-high-resolution mapping of river-immersed topography by remote sensing, Prog. Phys. Geog., 32, 403–419, 2008.
Fisher, P. F. and Tate, N. J.: Causes and consequences of error in digital elevation models, Prog. Phys. Geog., 30, 467–489, 2006.
Florinsky, I. V.: Accuracy of local topographic variables derived from digital elevation models, Int. J. Geogr. Inf. Sci., 12, 47–61, 1998.
Florinsky, I. V.: Digital terrain analysis in soil science and geology. Elsevier/Academic Press, the Netherlands, 379 pp., 2012.
Fonstad, M. A. and Marcus, W. A.: Remote sensing of stream depths with hydraulically assisted bathymetry (HAB) models, Geomorphology, 72, 320–339, 2005.
Fosså, J. H., Lindberg, B., Christensen, O., Lundälv, T., Svellingen, I., Mortensen, P. B.., and Alvsvag, J.: Mapping of Lophelia reefs in Norway: experiences and survey methods, in: Cold-water corals and ecosytems, Springer-Verlag, Berlin, Germany, 35900391, 2005.
Foster, G., Walker, B. K., and Riegl, B. M.: Interpretation of single-beam acoustic backscatter using LiDAR-derived topographic complexity and benthic habitat classifications in a coral reef environment, J. Coastal Res., 53, 16–26, 2009.
Fox, C. G.: Objective classification of oceanic ridge-crest terrains using two-dimensional spectral models of bathymetry: Application to the Juan de Fuca Ridge, Mar. Geophys. Res., 18, 707–728, 1996.
Fox, C. G. and Hayes, D. E.: Quantitative methods for analyzing the roughness of the seafloor, Rev. Geophys., 23, 1–48, 1985.
Fu, L.-L.: Recent progress in the application of satellite altimetry to observing the mesoscale variability and the general circulation of the oceans, Rev. Geophys. Space Phys., 21, 1657–1666, 1983.
Friedman, A., Pizarro, O., Williams, S. B., and Johnson-Roberson, M.: Multi-scale measures of rugosity, slope and aspect from benthic stereo image reconstructions, PLOS One, 7, e50440, https://doi.org/10.1371/journal.pone.0050440, 2012.
Gafeira, J., Long, D., and Diaz-Doce, D.: Semi-automated characterisation of seabed pockmarks in the central North Sea, Near. Surf. Geophys., 10, 303–314, 2012.
Galparsoro, I., Borja, Á., Bald, J., Liria, P., and Chust, G.: Predicting suitable habitat for the European lobster (Homarus gammarus), on the Basque continental shelf (Bay of Biscay), using Ecological-Niche Factor Analysis, Ecol. Model., 220, 556–567, 2009.
GEBCO: General bathymetric chart of the oceans 30 arc-second global grid of elevations 2014, available at: www.gebco.net (last access: 3 August 2016), 2014.
Gee, M. J. R., Watts, A. B., Masson, D. G., and Mitchell, N. C.: Landslides and the evolution of El Hierro in the Canary Islands, Mar. Geol., 177, 271–293, 2001.
Gessler, P., Pike, R., MacMillan, R. A., Hengl, T., and Reuter, H. I.: The future of geomorphometry, in: Geomorphometry: concepts, software, applications, Elsevier, Amsterdam, the Netherlands, 637–652, 2009.
Giannoulaki, M., Machias, A., Koutsikopoulos, C., and Somarakis, S.: The effect of coastal topography on the spatial structure of anchovy and sardine, ICES J. Mar. Sci., 63, 650–662, 2006.
Gilbert, L. E. and Malinverno, A.: A characterization of the spectral density of residual ocean floor topography, Geophys. Res. Lett., 15, 1401–1404, 1988.
Gille, S. T., Metzger, E. J., and Tokmakian, R.: Seafloor topography and ocean circulation, Oceanography, 17, 47–54, 2004.
Gjerde, K. M.: Ecosystems and biodiversity in deep waters and high seas. UNEP Regional Seas Reports and Studies 178, UNEP/IUCN, Gland, Switzerland, 2006.
Goff, J. A.: A global and regional stochastic analysis of near-ridge abyssal hill morphology, J. Geophys. Res., 96, 21713–21737, 1991.
Goff, J. A.: Quantitative characteristics of abyssal hill morphology along flow line in the Atlantic Ocean, J. Geophys. Res., 97, 9183–9202, 1992.
Goff, J. A.: Quantiative classification of canyon systems on continental slopes and a possible relationship to slope curvature, Geophys. Res. Lett., 28, 4359–4362, 2001.
Goff, J. A. and Jordan, T. H.: Stochastic modelling of seafloor morphology: Inversion of Sea Beam data for second-order statistics, J. Geophys. Res., 93, 13589–13608, 1988.
Goff, J. A. and Tucholke, B. E.: Multiscale spectral analysis of bathymetry on the flank of the Mid-Atlantic Ridge: Modification of the seafloor by mass wasting and sedimentation, J. Geophys. Res., 102, 15447–15462, 1997.
Goff, J. A., Smith, W. H. F., and Marks, K. M.: The contributions of abyssal hill morphology and noise to altimetric gravity fabric, Oceanography, 17, 24–37, 2004.
Graham, D., Chen, A., and Ermisch, D.: NOAA shoreline data explorer application. Coastal GeoTools 2015, March 30-April 2, Charleston, North Carolina, USA, 2015.
Green, A. and Uken, R.: Submarine landsliding and canyon evolution on the northern KwaZuluNatal continental shelf, South Africa, Mar. Geol., 254, 152–170, 2008.
Greene, H. G., Yoklavich, M. M., Starr, R. M., O'Connell, V. M., Wakefield, W. W., Sullivan, D. E., McRea Jr., J. E., and Cailliet, G. M.: A classification scheme for deep seafloor habitats, Oceanol. Acta, 22, 663–678, 1999.
Grohmann, C. H.: Morphometric analysis in geographic information systems: applications of free software GRASS and R, Comput. Geosci., 30, 1055–1067, 2004.
Grohmann, C. H.: Effects of spatial resolution on slope and aspect derivation for regional-scale analysis, Comput. Geosci., 77, 111–117, 2015.
Guenther, G. C., Lillycrop, W. J., and Banic, J. R.: Future advancements in airborne hydrography, Int. Hydrogr. Rev., 3, 67–90, 2002.
Guinan, J., Brown, C., Dolan, M. F. J., and Grehan, A. J.: Ecological niche modelling of the distribution of cold-water coral habitat using underwater remote sensing data, Ecol. Inform., 4, 83–92, 2009.
Haflidason, H., Lien, R., Sejrup, H. P., Forsberg, C. F., and Bryn, P.: The dating and morphometry of the Storegga Slide, Mar. Petrol. Geol., 22, 123–136, 2005.
Hamylton, S. M., Hedley, J. D., and Beaman, R. J.: Derivation of high-resolution bathymetry from multispectral satellite imagery: a comparison of empirical and optimisation methods through geographical error analysis, Remote Sens., 7, 16257–16273, 2015.
Hardin, E., Mitasova, H., Tateosian, L., and Overton, M.: GIS-based analysis of coastal Lidar time-series. Springer Briefs in Computer Science, Springer, New York, USA, 84 pp., 2014.
Harris, P. T. and Baker, E. K.: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, the Netherlands, 900 pp., 2012a.
Harris, P. T. and Baker, E. K.: Synthesis and lessons learned, in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 871–887, 2012b.
Harris, P. T. and Baker, E. K.: Why map benthic habitats?, in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 3–22, 2012c.
Harris, P. T., Macmillan-Lawler, M., Rupp, J., and Baker, E. K.: Geomorphology of the oceans, Mar. Geol., 352, 4–24, 2014.
Harrison, J. W., Ferrie, F. P., Hefford, S. W., Samson, C., Kusevic, K., Mrstik, P., and Iles, P. J. W.: Finding anomalies in high-density LiDAR point clouds, Geomatica, 63, 397–405, 2009.
Harrison, R., Bellec, V. K., Mann, D., and Wang, W.: A new approach to the automated mapping of pockmarks in multi-beam bathymetry. IEEE Image Proc., 18, 2777–2780, 2011.
Hasan, R. C., Ierodiaconou, D., and Laurenson, L.: Combining angular response classification and backscatter imagery segmentation for benthic biological habitat mapping, Estuar. Coast. Shelf S., 97, 1–9, 2012.
Hedley, J. D., Harborne, A. R., and Mumby, P. J.: Simple and robust removal of sun glint for mapping shallow-water benthos, Int. J. Remote Sens., 26, 2107–2112, 2005.
Hengl, T. and Evans, I. S.: Mathematical and digital models of the land surface, in: Geomorphometry: concepts, software, applications, Elsevier, Amsterdam, the Netherlands, 31–63, 2009.
Hengl, T. and MacMillan, R. A.: Geomorphometry – a key to landscape mapping and modelling, in: Geomorphometry: concepts, software, applications, Elsevier, Amsterdam, the Netherlands, 433–460, 2009.
Herzfeld, U. C.: Geostatistical methods for evaluation of seabeam bathymetric surveys: Case studies of Wegener Canyon, Antarctica, Mar. Geol., 88, 83–95, 1989.
Herzfeld, U. C: A method for seafloor classification using directional variograms, demonstrated for data from the western flank of the Mid-Atlantic Ridge, Math. Geol., 25, 901–924, 1993.
Herzfeld, U. C. and Higginson, C. A.: Automated geostatistical seafloor classification – principles, parameters, feature vectors and discrimination criteria, Comput. Geosci., 22, 35–52, 1996.
Heyman, W. D. and Kobara, S.: Geomorphology of reef fish spawning aggregrations in Belize and the Cayman Islands (Caribbean), in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 387–396, 2012.
Hill, N. A., Lucieer, V., Barrett, N. S., Anderson, T. J., and Williams, S. B.: Filling the gaps: predicting the distribution of temperate reef biota using high resolution biological and acoustic data, Estuar. Coast. Shelf S., 147, 137–147, 2014.
Hillman, J. I. T., Gorman, A. R., and Pecher, I. A.: Geostatistical analysis of seafloor depressions on the southeast margin of New Zealand's South Island – investigating the impact of dynamic near seafloor processes on geomorphology, Mar. Geol., 360, 70–83, 2015.
Hogrefe, K. R., Wright, D. J., and Hochberg, E. J.: Derivation and integration of shallow-water bathymetry: implications for coastal terrain modelling and subsequent analyses, Mar. Geod., 31, 299–317, 2008.
Holman, R. and Haller, M. C.: Remote sensing of the nearshore, Annu. Rev. Marine Sci., 5, 95–113, 2013.
Horn, B. K. P.: Hill shading and the reflectance map, P. IEEE, 69, 14–47, 1981.
Hughes-Clarke, J. E.: The effects of fine-scale seabed morphology and texture on the fidelity of swath bathymetric sounding data, Canadian Hydrographic Conference, Victoria, Canada, 1–14, 1998.
Hughes-Clarke, J. E.: Dynamic motion residuals in swath sonar data: ironing out the creases, Int. Hydrogr. Rev., 4, 6–23, 2003a.
Hughes-Clarke, J. E.: A reassessment of vessel coordinate systems: what is it that we are really aligning?, US Hydrographic Conference 2003, Biloxi, MS, USA, 1–12, 2003b.
Hughes-Clarke, J. E., Mayer, L. A., and Wells, D. E.: Shallow-water imaging multibeam sonars: a new tool for investigating seafloor processes in the coastal zone and on the continental shelf, Mar. Geophys. Res., 18, 607–629, 1996.
Hühnerbach, V., Masson, D. G., and Partners of the COSTA-Project: Landslides in the North Atlantic and its adjacent seas: an analysis of their morphology, setting and behaviour, Mar. Geol., 213, 343–362, 2004.
Huvenne, V. A. I., Blondel, P., and Henriet, J. P.: Textural analyses of sidescan sonar imagery from two mound provinces in the Porcupine Seabight, Mar. Geol., 189, 323–341, 2002.
Huvenne, V. A. I., Beyer, A., de Haas, H., Dekindt, K., Henriet, J.-P., Kozachenko, M., Olu-Le Roy, K., Wheeler, A. J., and the TOBI/Pelagia 197 and CARACOLE cruise participants: The seabed appearance of different coral bank provinces in the Porcupine Seabight, NE Atlantic: results from sidescan sonar and ROV seabed mapping, in: Cold-water corals and ecosytems, Springer-Verlag, Berlin, Germany, 535–569, 2005.
IHO (International Hydrographic Organisation): IHO Standards for Hydrographic Surveys, Special publication No. 44. 5th Edition, February 2008, International Hydrographic Bureau, Monaco, 2008.
Imhof, E.: Cartographic relief presentation, Walter de Gruyter, Berlin, Germany, 389 pp., 1982.
Iordanishvili, I. K.: The peculiarities of hydrological processes in mountain reservoirs, Water Resour., 27, 617–624, 2000.
Irish, J. L. and Lillycrop, W. J.: Scanning laser mapping of the coastal zone: the SHOALS system, ISPRS J. Photogramm., 54, 123–129, 1999.
Ismail, K., Huvenne, V. A. I., and Masson, D. G.: Objective automated classification technique for marine landscape mapping in submarine canyons, Mar. Geol., 362, 17–32, 2015.
Issler, D., De Blasio, F. V., Elverhøi, A., Bryn, P., and Lien, R.: Scaling behaviour of clay-rich submarine debris flows, Mar. Petrol. Geol., 22, 187–194, 2005.
Jakobsson, M., Mayer, L., Coakley, B., Dowdeswell, J. A., Forbes, S., Fridman, B., Hodnesdal, H., Noormets, R., Pederson, R., Rebesco, M., Schenke, H. W., Zarayskaya, Y., Accettella, D., Armstrong, A., Anderson, R. M., Bienhoff, P., Camerlenghi, A., Church, I., Edwards, M., Gardner, J. V., Hall, J. K., Hell, B., Hestvik, O., Kristoffersen, Y., Marcussen, C., Mohammad, R., Mosher, D., Nghiem, S. V., Pedrosa, M. T., Travaglini, P. G., and Weatherall, P.: The International Bathymetric Chart of the Arctic Ocean (IBCAO) version 3.0., Geophys. Res. Lett., 39, L12609, https://doi.org/10.1029/2012GL052219/, 2012.
Jalali, M. A., Ierodiaconou, D., Monk, J., Gorfine, H., and Rattray, A.: Predictive mapping of abalone fishing grounds using remotely-sensed LiDAR and commercial catch data, Fish. Res., 169, 26–36, 2015.
James, J. W. C., Pearce, B., Coggan, R. A., and Morando, A.: Open shelf valley system, northern palaeovalley, English Channel, UK, in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 587–596, 2012.
Jarvis, R. S. and Clifford, N. J.: Specific geomorphometry, in: Geomorphological techniques, second edition.,Taylor and Francis, New York, USA, 70–78, 2003.
Jayne, S. R., St. Laurent, L. C., and Gille, S. T.: Connections between ocean bottom topography and Earth's climate, Oceanography, 17, 65–74, 2004.
Jawak, S. D., Vadlamani, S. S., and Luis, A. J.: A synoptic review on deriving bathymetry information using remote sensing technologies: models, methods and comparisons, Adv. Remote Sens., 4, 147–162, 2015.
Jenness, J. S.: Calculating landscape surface area from digital elevation models, Wildlife Soc. B., 32, 829–839, 2004.
Jiang, M., Stewart, W., and Marra, M.: Segmentation of seafloor sidescan imagery using Markov random fields and neural networks, Oceans-IEEE, 456–461, 1993.
Johnson-Roberson, M., Pizarro, O., Williams, S. B., and Mahon, I.: Generation and visualization of large-scale three-dimensional reconstructions from underwater robotic surveys, J. Field Robot., 27, 21–51, 2010.
Jones, G. E., Cumming, R. E., and Hunt, P. R.: The use of remote sensing techniques for the location and investigation of heritage wreck sites, Adv. Arc. Ser., 19, 185–194, 2005.
Jones, K. H.: A comparison of algorithms used to compute hill slope as a property of the DEM, Comput. Geosci., 24, 315–323, 1998.
Kashani, A. G., Olsen, M. J., Parrish, C. E., and Wilson, N.: A review of LIDAR radiometric processing: from Ad Hoc intensity correction to rigorous radiometric calibration, Sensors, 15, 28099–28128, 2015.
Kay, S., Hedley, J., and Lavender, S.: Sun glint correction of high and low spatial resolution images of aquatic scenes: a review of methods for visible and near-infrared wavelengths, Remote Sens., 1, 697–730, 2009.
Keating, B., Cherkis, N. Z., Fell, P. W., Handschmacher, D., Hey, R. N., Lazarewicz, A., Naar, D. F., Perry, R. K., Sandwell, D., Schwank, D. C., Vogt, P. R., and Zondek, B.: Field tests of SEASAT bathymetric detections, Mar. Geophys. Res., 7, 69–71, 1984.
Kennedy, D. M., Ierodiaconou, D., and Schimel, A.: Granitic coastal geomorphology: applying integrated terrestrial and bathymetric LiDAR with multibeam sonar to examine coastal landscape evolution, Earth Surf. Proc. Land., 39, 1663–1674, 2014.
Kenny, A. J., Cato, I., Desprez, G., Fader, T., Schüttenhelm, R. T. E., and Side, J.: An overview of seabed-mapping technologies in the context of marine habitat classification, ICES J. Mar. Sci., 60, 411–418, 2003.
Klemas, V.: Remote sensing techniques for studying coastal ecosystems: an overview, J. Coastal Res., 27, 2–17, 2011a.
Klemas, V.: Beach profiling and LIDAR bathymetry: an overview with case studies, J. Coastal Res., 27, 1019–1028, 2011b.
Klemas, V.: Airborne remote sensing of coastal features and processes: an overview, J. Coastal Res., 29, 239–255, 2013.
Knudby, A., LeDrew, E., and Brenning, A.: Predictive mapping of reef fish species richness, diversity and biomass in Zanzibar using IKONOS imagery and machine-learning techniques, Remote Sens. Environ., 114, 1230–1241, 2010.
Knudby, A., Kenchington, E., and Murillo, F. J.: Modeling the distribution of Geodia sponges and sponge grounds in the Northwest Atlantic, PLOS One, 8, e82306, https://doi.org/10.1371/journal.pone.0082306, 2013.
Konsberg Maritime: HISAS 1030 High resolution interferometric synthetic aperture sonar, available at: https://www.km.kongsberg.com/ks/web/nokbg0397.nsf/AllWeb/86E9FFB43569CDEEC12576B9006D75C7/$file/HISAS_1030_brochure_v1_lowres_v2.pdf?OpenElement, last access: 3 December 2015.
Kostylev, V. E., Erlandsson, J., Ming, M. Y., and Williams, G. A.: The relative importance of habitat complexity and surface area in assessing biodiversity: fractal application on rocky shores, Ecol. Complex., 2, 272–286, 2005.
Krause, D. C. and Menard, H. W.: Depth distribution and bathymetric classification of some seafloor profiles, Mar. Geol., 3, 169–193, 1965.
Krcho, J.: Morphometric analysis of relief on the basis of geometric aspect of field theory, Acta Geographica Universitatis Comenianae, Geographico-Physica, 1, 7–233, 1973.
Kukowski, N., Hampel, A., Hoth, S., and Bialas, J.: Morphotectonic and morphometric analysis of the Nazca plate and the adjacent offshore Peruvian continental slope – Implications for submarine landscape evolution, Mar. Geol., 254, 107–120, 2008.
Kunze, E. and Llewellyn Smith, S. G.: The role of small-scale topography in turbulent mixing of the global ocean, Oceanography, 17, 55–64, 2004.
Kvamme, K. L.: Recent directions and developments in geographical information systems, J. Archaeol. Res., 7, 153–201, 1999.
Kwasnitschka, T., Hansteen, T. H., Devey, C. W., and Kutterolf, S.: Doing fieldwork on the seafloor: photogrammetric techniques to yield 3-D visual models from ROV video, Comput. Geosci., 52, 218–226, 2013.
Lafon, V., Froidefond, J. M., Lahet, F., and Castaing, P.: SPOT shallow water bathymetry of a moderately turbid tidal inlet based on field measurements, Remote Sens. Environ., 81, 136–148, 2002.
Lanier, A., Romsos, C., and Goldfinger, C.: Seafloor habitat mapping on the Oregon continental margin: A spatially nested GIS approach to mapping scale, mapping methods, and accuracy quantification, Mar. Geod., 30, 51–76, 2007.
Lawrence, E., Hayes, K. R., Lucieer, V. L., Nichol, S. L., Dambacher, J. M., Hill, N. A., Barrett, N., Kool, J., and Siwabessy, J.: Mapping habitats and developing baselines in offshore marine reserves with little prior knowledge: a critical evaluation of a new approach, PloS One, 10, e0141051, https://doi.org/10.1371/journal.pone.0141051, 2015.
Lecours, V.: Terrain Attribute Selection for Spatial Ecology (TASSE), v.1.0, available at: www.marinegis.com (last access: 3 August 2016), 2015.
Lecours, V. and Devillers, R.: Assessing the spatial data quality paradox in the deep-sea, in Proceedings of spatial knowledge and information Canada 2015, 1–8, 2015.
Lecours, V., Miles, L. L., Devillers, R., and Edinger, E. N.: Data analysis towards the multiscale characterization of cold-water coral and sponge habitats in Canadian waters. Tech. Rep. REQ. No. F6160-120010, Department of Fisheries and Oceans Canada, Newfoundland and Labrador Region, St. John's, 2013.
Lecours, V., Lucieer, V. L., Dolan, M. F. J., and Micallef, A.: An ocean of possibilities: applications and challenges of marine geomorphometry, in: Geomorphometry for geosciences, International Society for Geomorphometry, Poznań, Poland, 23–26, 2015a.
Lecours, V., Devillers, R., Schneider, D. C., Lucieer, V. L., Brown, C. J., and Edinger, E. N.: Spatial scale and geographic context in benthic habitat mapping: review and future directions, Mar. Ecol. Prog. Ser., 535, 259–284, 2015b.
Legleiter, C. J., Roberts, D. A., Marcus, W. A., and Fonstad, M. A.: Passive optical remote sensing of river channel morphology and in-stream habitat: physical basis and feasibility, Remote Sens. Environ., 93, 493–510, 2004.
Leon, J. X., Phinn, S. R., Hamylton, S., and Saunders, M. I.: Filling the “white ribbon” – a multisource seamless digital elevation model for Lizard Island, northern Great Barrier Reef, Int. J. Remote Sens., 34, 6337–6354, 2013.
Leitão, J. P., Prodanović, D., and Maksimović, Č.: Improving merge methods for grid-based digital elevation models, Comput. Geosci., 88, 115–131, 2016.
Li, F. K. and Goldstein, R. M.: Studies of multibaseline spaceborne interferometric synthetic aperture radars, IEEE T. Geosci. Remote, 28, 88–97, 1990.
Li, H. and Wu, J.: Uncertainty analysis in ecological studies: an overview, in Scaling and uncertainty analysis in ecology: methods and applications, Springer, Dordrecht, the Netherlands, 45–66, 2006.
Li, J. and Heap, A. D.: A review of comparative studies of spatial interpolation methods in environmental sciences: performance and impact factors, Ecol. Inform., 6, 228–241, 2011.
Li, K., Chen, J., Tarolli, P., Sofia, G., Feng, Z., and Li, J.: Geomorphometric multi-scale analysis for the automatic detection of linear structures on the lunar surface, Earth Sci. Front., 21, 212–222, 2014.
Li, Z., Zhu, Q., and Gold, C.: Digital terrain modeling: principles and methodology. CRC Press, USA, 319 pp., 2005.
Liceaga-Correa, M. A. and Euan-Avila, J. I.: Assessment of coral reef bathymetric mapping using visible Landsat Thematic Mapper data, Int. J. Remote Sens., 23, 3–14, 2002.
Lin, A. Y.-M., Novo, A., Har-Noy, S., Ricklin, N. D., and Stamatiou, K.: Combining GeoEye-1 satellite remote sensing, UAV aerial imaging, and geophysical surveys in anomaly detection applied to archaeology, IEEE J. Sel. Top. Appl., 4, 870–876, 2011.
Louchard, E. M., Reid, R. P., Stephens, F. C., Davis, C. O., Leathers, R. A., and Downes, T. V.: Optical remote sensing of benthic habitats and bathymetry in coastal environments at Lee Stocking Island, Bahamas: a comparative spectral classification approach, Limnol. Oceanogr., 48, 511–521, 2003.
Lucieer, V. and Lamarche, G.: Unsupervised fuzzy classification and object-based image analysis of multibeam data to map deep water substrates, Cook Strait, New Zealand, Cont. Shelf Res., 31, 1236–1247, 2011.
Lucieer, V., Barrett, N., Hill, N., and Nichol, S. L.: Characterization of shallow inshore coastal reefs on the Tasman Peninsula, Southeastern Tasmania, Australia, in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 481–492, 2012.
Lucieer, V., Hill, N. A., Barrett, N. S., and Nichol, S.: Do marine substrate “look” and “sound” the same? Supervised classification of multibeam acoustic data using autonomous underwater vehicle images, Estuar. Coast. Shelf S., 117, 94–106, 2013.
Lucieer, V. L.: Object-oriented classification of sidescan sonar data for mapping benthic marine habitats, Int. J. Remote Sens., 29, 905–921, 2008.
Ludvigsen, M., Johnsen, G., Sørensen, A. J., Lagstad, P. A., and Odegard, O.: Scientific operations combining ROV and AUV in the Trondheim Fjord, Mar. Technol. J., 48, 59–71, 2014.
Lundblad, E., Wright, D. J., Miller, J., Larkin, E. M., Rinehart, R., Naar, D. F., Donahue, B. T., Anderson, S. M., and Battista, T.: A Benthic Terrain Classification Scheme for American Samoa, Mar. Geod., 29, 89–111, 2006.
Lurton, X.: An introduction to underwater acoustics: principles and applications, 2nd edition, Springer/Praxis Publishing, Berlin, Germany, 704 pp., 2010.
Lyzenga, D. R.: Passive remote sensing techniques for mapping water depth and bottom features, Appl. Optics, 17, 379–383, 1978.
Lyzenga, D. R., Malinas, N. P., and Tanis, F. J.: Multispectral bathymetry using a simple physically based algorithm, IEEE T. Geosci. Remote, 44, 2251–2259, 2006.
Ma, S., Tao, Z., Yang, X., Yu, Y., Zhou, X., and Li, Z.: Bathymetry retrieval from hyperspectral remote sensing data in optical-shallow water, IEEE T. Geosci. Remote, 52, 1205–1212, 2014.
Mackenzie, D.: Ocean floor is laid bare by new satellite data, Science, 277, 1921, https://doi.org/10.1126/science.277.5334.1921, 1997.
Macon, C., Wozencraft, J., Park, J. Y., and Tuell, G.: Seafloor and land cover classification through airborne lidar and hyperspectral data fusion, Int. Geosci. Remote Se., II-77–II-80, 2008.
Malinverno, A.: A quantitative study of the axial topography of the Mid-Atlantic Ridge, J. Geophys. Res., 95, 2645–2660, 1990.
Malinverno, A. and Cowie, P. A.: Normal faulting and the topographic roughness of mid-ocean ridge flanks, J. Geophys. Res., 98, 17921–17939, 1993.
Malinverno, A. and Gilbert, L. E.: A stochastic model for the creation of ocean floor topography at a slow spreading center, J. Geophys. Res., 94, 1665–1675, 1989.
Mark, D. M.: Geomorphometric parameters: a review and evaluation, Geogr. Ann. A, 57, 165–177, 1975.
Marsh, I. and Brown, C.: Neural network classification of multibeam backscatter and bathymetry data from Stanton Bank (Area IV), Appl. Acoust., 70, 1269–1276, 2009.
Maritorena, S., Morel, A., and Gentili, B.: Diffuse-reflectance of oceanic shallow waters – influence of water depth and bottom albedo, Limnol. Oceanogr., 39, 1689–1703, 1994.
Martorelli, E., D'Angelo, S., Fiorentino, A., and Chiocci, F. L.: Nontropical carbonate shelf sedimentation: the archipelago Pontino (central Italy) case history, in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 449–456, 2012.
Masetti, G. and Calder, B.: Remote identification of a shipwreck site from MBES backscatter, J. Environ. Manage., 111, 44–52, 2012.
McAdoo, B. G., Pratson, L. F., and Orange, D. L.: Submarine landslide geomorphology, US continental slope, Mar. Geol., 169, 103–136, 2000.
McArthur, M. A., Brooke, B. P., Przeslawski, R., Ryan, D. A., Lucieer, V. L., Nichol, S., McCallum, A. W., Mellin, C., Cresswell, I. D., and Radke, L. C.: On the use of abiotic surrogates to describe marine benthic biodiversity, Estuar. Coast. Shelf S., 88, 21–32, 2010.
McCoy, M. D. and Ladefoged, T. N.: New developments in the use of spatial technology in archaeology, J. Archaeol. Res., 17, 263–295, 2009.
McKenzie, D. and Bowin, C.: The relationship between bathymetry and gravity in the Atlantic Ocean, J. Geophys. Res., 81, 1903–1915, 1976.
McNutt, M.: The hunt for MH370, Science, 344, 947, https://doi.org/10.1126/science.1255963, 2014.
Metzger, E. G. and Hurlburt, H. E.: The importance of high horizontal resolution and accurate coastline geometry in modeling South China Sea Inflow, Geophys. Res. Lett., 28, 1059–1062, 2001.
Meylemans, E., Creemers, G., De Bie, M., and Paesen, J.: Revealing extensive protohistoric field systems through high resolution LIDAR data in the northern part of Belgium, Archaol. Korresponden., 45, 197–213, 2015.
Miall, A.: Architecture and sequence stratigraphy in Pleistocene fluvial systems in the Malay Basin, based on seismic time-slice analysis, AAPG Bull., 86, 1201–1216, 2003.
Micallef, A. and Mountjoy, J. J.: A topographic signature of a hydrodynamic origin for submarine gullies, Geology, 39, 115–118, 2011.
Micallef, A., Berndt, C., Masson, D. G., and Stow, D. A. V.: A technique for the morphological characterization of submarine landscapes as exemplified by debris flows of the Storegga Slide, J. Geophys. Res., 112, F02001, https://doi.org/10.1029/2006JF000505, 2007a.
Micallef, A., Masson, D. G., Berndt, C., and Stow, D. A. V.: Morphology and mechanics of submarine spreading: A case study from the Storegga Slide, J. Geophys. Res., 112, F03023, https://doi.org/10.1029/2006JF000739, 2007b.
Micallef, A., Berndt, C., Masson, D. G., and Stow, D. A. V.: Scale invariant characteristics of the Storegga Slide and implications for large-scale submarine mass movements, Mar. Geol., 247, 46–60, 2008.
Micallef, A., Masson, D. G., Berndt, C., and Stow, D. A. V.: Development and mass movement processes of the north-eastern Storegga Slide, Quaternary Sci. Rev., 28, 433–448, 2009.
Micallef, A., Le Bas, T. P., Huvenne, V. A. I., Blondel, P., Hühnerbach, V., and Deidun, A.: A multi-method approach for benthic habitat mapping of shallow coastal areas with high resolution multibeam data, Cont. Shelf Res., 39–40, 14–26, 2012a.
Micallef, A., Mountjoy, J. J., Canals, M., and Lastras, G.: Deep-seated bedrock landslides and submarine canyon evolution in an active tectonic margin: Cook Strait, New Zealand., in: Submarine Mass Movements and Their Consequences, Springer, London, UK, 201–212, 2012b.
Micallef, A., Mountjoy, J., Barnes, P. M., Canals, M., and Lastras, G.: Geomorphic response of submarine canyons to tectonic activity: Insights from the Cook Strait canyon system, New Zealand, Geosphere, 10, 905–929, 2014a.
Micallef, A., Ribó, M., Canals, M., Puig, P., Lastras, G., and Tubau, X.: Space-for-time substitution and the evolution of a submarine canyon–channel system in a passive progradational margin, Geomorphology, 221, 34–50, 2014b.
Minár, J. and Evans, I. S.: Elementary forms for land surface segmentation: the theoretical basis of terrain analysis and geomorphological mapping, Geomorphology, 95, 236–259, 2008.
Minár, J., Jenčo, M., Evans, I. S., Minár Jr., J., Kadlec, M., Krcho, J., Pacina, J., Burian, L., and Benová, A.: Third-order geomorphometric variables (derivatives): definition, computation and utilization of changes of curvatures, Int. J. Geogr. Inf. Sci., 27, 1381–1402, 2013.
Mitchell, N. C.: Susceptibility of mid-ocean ridge volcanic islands and seamounts to large-scale landsliding, J. Geophys. Res., 108, 2397, https://doi.org/10.1029/2002JB001997, 2003.
Mitchell, N. C.: Form of submarine erosion from confluences in Atlantic USA continental slope canyons, Am. J. Sci., 304, 590–611, 2004.
Mitchell, N. C.: Interpreting long-profiles of canyons in the USA Atlantic continental slope, Mar. Geol., 214, 75–99, 2005.
Mitchell, N. C. and Clarke, J. E. H.: Classification of seafloor geology using multibeam sonar data from the Scotian Shelf, Mar. Geol., 121, 143–160, 1994.
Mitchell, N. C. and Searle, R. C.: Fault scarp statistics at the Galapagos spreading centre from Deep Tow data, Mar. Geophys. Res., 20, 183–193, 1998.
Mitchell, N. C. and Somers, M. L.: Quantitative backscatter measurements with a long-range side-scan, IEEE J. Oceanic Eng., 14, 368–374, 1989.
Mitchell, N. C., Tivey, M. A., and Gente, P.: Seafloor slopes at mid-ocean ridges from submersible observations and implications for interpreting geology from seafloor topography, Earth Planet. Sc. Lett., 183, 543–555, 2000.
Mitchell, N. C., Masson, D. G., Watts, A. B., Gee, M. J. R., and Urgeles, R.: The morphology of the submarine flanks of volcanic ocean islands: A comparative study of the Canary and Hawaiian hotspot islands, J. Volcanol. Geoth. Res., 115, 83–107, 2002.
Mitchell, N. C., Dade, W. B., and Masson, D. G.: Erosion of the submarine flanks of the Canary Islands, J. Geophys. Res., 108, 6002, https://doi.org/10.1029/2002JF000003, 2003.
Mobley, C. D., Sundman, L. K., Davis, C. O., Bowles, J. H., Downes, T. V., Leathers, R. A., Montes, M. J., Bissett, W. P., Kohler, D. D. R., Reid, R. P., Louchard, E. M., and Gleason, A.: Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up tables, Appl. Optics, 44, 3576–3592, 2005.
Moernaut, J. and De Batist, M.: Frontal emplacement and mobility of sublacustrine landslides: Results from morphometric and seismostratigraphic analysis, Mar. Geol., 285, 29–45, 2011.
Mofield, H. O., Massell Symons, C., Londsdale, P., Gonzales, F. I., and Titov, V. V.: Tsunami scattering and earthquake faults in the deep Pacific Ocean, Oceanography, 17, 38–46, 2004.
Mohammadi, H., Rajabifard, A., and Williamson, I. P.: Enabling spatial data sharing through multi-source spatial data integration. Global Spatial Data Infrastructure Conference, Rotterdam, the Netherlands, 1–19, 2011.
Mohn, C., Rengstorf, A., White, M., Duineveld, G., Mienis, F., Soetaert, K., and Grehan, A.: Linking benthic hydrodynamics and cold-water coral occurrences: a high-resolution model study at three cold-water coral provinces in the NE Atlantic, Prog. Oceanogr., 122, 92–104, 2014.
Monk, J., Ierodiaconou, D., Versace, V. L., Bellgrove, A., Harvey, E., Rattray, A., Laurenson, L., and Quinn, G. P.: Habitat suitability for marine fishes using presence-only modelling and multibeam sonar. Mar. Ecol. Prog. Ser., 420, 157–174, 2010.
Monk, J., Ierodiaconou, D., Bellgrove, A., Harvey, E., and Laurenson, L.: Remotely sensed hydroacoustics and observation data for predicting fish habitat suitability, Cont. Shelf Res., 31, S17–S27, 2011.
Moskalik, M., Błaszczyk, M., and Jania, J.: Statistical analysis of Brepollen bathymetry as a key to determine average depths on a glacier foreland, Geomorphology, 206, 262–270, 2014a.
Moskalik, M., Tegowski, J., Grabowiecki, P., and Zulichowska, M.: Principal Component and Cluster Analysis for determining diversification of bottom morphology based on bathymetric profiles from Brepollen (Hornsund, Spitsbergen), Oceanologia, 56, 59–84, 2014b.
Mountjoy, J. J., McKean, J., Barnes, P. M., and Pettinga, J. R.: Terrestrial-style slow-moving earthflow kinematics in a submarine landslide complex, Mar. Geol., 267, 114–127, 2009.
Nayegandhi, M., Brock, J., and Wright, C.: Small-footprint, waveform-resolving lidar estimation of submerged and sub-canopy topography in coastal environments, Int. J. Remote Sens., 30, 861–878, 2009.
Neidell, N. S.: Spectral studies of marine geophysical profiles, Geophysics, 31, 122–134, 1966.
NOAA (National Oceanic and Atmospheric Administration): Digital Coast, Office for Coastal Management, available at: https://coast.noaa.gov/digitalcoast/, last access: 24 February 2016.
Normile, D.: Lost at sea, Science, 344, 963–965, 2014.
Oksanen, J. and Sarjakoski, T.: Error propagation of DEM-based surface derivatives, Comput. Geosci., 31, 1015–1027, 2005.
Palomino, D., Vázquez, J.-T., Ercilla, G., Alonso, B., López-González, N., and Díaz-del-Río, V.: Interaction between seabed morphology and water masses around the seamounts on the Motril Marginal Plateau (Alboran Sea, Western Mediterranean), Geo-Mar. Lett., 31, 465–479, 2011.
Pacheco, A., Horta, J., Loureiro, C., and Ferreira, Ó.: Retrieval of nearshore bathymetry from Landsat 8 images: a tool for coastal monitoring in shallow waters, Remote Sens. Environ., 159, 102–116, 2015.
Papatheodorou, G., Geraga, M., and Ferentinos, G.: The Navarino Naval Battle Site, Greece – an integrated remote-sensing survey and a rational management approach, Int. J. Naut. Archaeol., 34, 95–109, 2005.
Parsons, B. and Sclater, J. G.: An analysis of the variation of ocean floor bathymetry and heat flow with age, J. Geophys. Res., 82, 803–827, 1977.
Passalacqua, P., Belmont, P., Staley, D. M., Simley, J. D., Arrowsmith, J. R., Bode, C. A., Crosby, C., DeLong, S. B., Glenn, N. F., Kelly, S. A., Lague, D., Sangireddy, H., Schaffrath, K., Tarboton, D. G., Wasklewicz, T., and Wheaton, J. M.: Analyzing high resolution topography for advancing the understanding of mass and energy transfer through landscapes: a review, Earth-Sci. Rev., 148, 174–193, 2015.
Passaro, S., Milano, G., D'Istanto, C., Ruggieri, S., Tonielli, R., Bruno, P. P., Sprovieri, M., and Marsella, E.: DTM-based morphometry of the Palinuro seamount (Eastern Tyrrhenian Sea): Geomorphological and volcanological implications, Geomorphology, 115, 129–140, 2010.
Passaro, S., Ferranti, L., and De Alteris, G.: The use of high-resolution elevation histograms for mapping submerged terraces: Tests from the Eastern Tyrrhenian Sea and the Eastern Atlantic Ocean, Quatern. Int., 232, 238–249, 2011.
Passaro, S., Barra, M., Saggiomo, R., Di Giacomo, S., Leotta, A., Uhlen, H., and Mazzola, S.: Multi-resolution morpho-bathymetric survey results at the Pozzuoli-Baia underwater archaeological site (Naples, Italy), J. Archaeol. Sci., 40, 1268–1278, 2013.
Peuchen, J.: Site characterization in nearshore and offshore geotechnical projects, in: Geotechnical and geophysical site characterization 4, Taylor and Francis, London, UK, 83–112, 2013.
Peyton, L. and Boettcher, R.: Interpretation of incised valleys using new 3-D seismic techniques: A case history using spectral decomposition and coherency, The Leading Edge, 17, 1294–1296, 1998.
Pike, R. J.: The geometric signature: quantifying landslide-terrain types from Digital Elevation Models, Math. Geol., 20, 491–511, 1988.
Pike, R. J.: Goemorphometry – diversity in quantitative surface analysis, Prog. Phys. Geog., 24, 1–20, 2000.
Pike, R. J., Evans, I. S., and Hengl, T.: Geomorphometry: a brief guide, in: Geomorphometry: concepts, software, applications, Elsevier, Amsterdam, the Netherlands, 3–30, 2009.
Pirtle, J. L., Weber, T. C., Wilson, C. D., and Rooper, C. N.: Assessment of trawlable and untrawlable seafloor using multibeam-derived metrics, Methods Oceanogr., 12, 18–35, 2015.
Pittman, S. J., Costa, B. M., and Battista, T. A.: Using lidar bathymetry and boosted regression trees to predict the diversity and abundance of fish and corals, J. Coastal Res., 53, 27–38, 2009.
Podobnikar, T., and Székely, B.: Towards the automated geomorphometric extraction of talus slopes in Martian landscapes, Planet. Space Sci., 105, 148–158, 2015.
Pohl, C. and van Genderen, J. L.: Multisensor image fusion in remote sensing: concepts, methods and applications, Int. J. Remote Sens., 19, 823–854, 1998.
Posamentier, H. W.: Depositional elements associated with a basin floor channel–levee system: Case study from the Gulf of Mexico, Mar. Petrol. Geol., 20, 677–690, 2003.
Posamentier, H. W. and Kolla, V.: Seismic geomorphology and stratigraphy of depositional elements in deep-water settings, J. Sediment. Res., 73, 367–388, 2003.
Posamentier, H. W., Dorn, G. A., Cole, M. J., Beierle, C. W., and Ross, S. P.: Imaging elements of depositional systems with 3-D seismic data: a case study, SEPM, Gulf Coast Section, 17th Annual Research Conference, 213–228, 1996.
Posamentier, H. W., Meizarwin, P. S., and Wisman, T.: Deep water depositional systems – ultra-deep Makassar Strait, Indonesia, in: Deep-water reservoirs of the world, SEPM, Gulf Coast Section, 20th Annual Research Conference, 806–816, 2000.
Pratson, L. F. and Ryan, W. B. F.: Automated drainage extraction in mapping the Monterey submarine drainage system, California margin, Mar. Geophys. Res., 18, 757–777, 1996.
Preston, J. M., Christney, A. C., Bloomer, S. F., and Beaudet, I. L.: Seabed classification of multibeam sonar images, Oceans-IEEE, 2616–2623, 2001.
Purkis, S. J., Graham, N. A. J., and Riegl, B. M.: Predictability of reef fish abundance using remote sensing data in Diego Garcia (Chagos Archipelago), Coral Reefs, 27, 167–178, 2008.
Qin, C.-Z., Bao, L.-L., Zhu, A.-X., Hu, X.-M., and Qin, B.: Artificial surfaces simulating complex terrain types for evaluating grid-based flow algorithms, Int. J. Geogr. Inf. Sci., 27, 1055–1072, 2013.
Quadros, N. D., Collier, P. A., and Fraser, C. S.: Integration of bathymetric and topographic lidar: a preliminary investigation. Int. Arch. Photogrammetry, Remote Sens. Spat. Inf. Sci., 37, 315–320, 2008.
Ramillien, G. and Cazenave, A.: Global bathymetry derived from altimeter data of the ERS-1 geodetic mission, J. Geodyn., 23, 129–149, 1997.
Rattray, A., Ierodiaconnu, D., Monk, J., Versace, V. L., and Laurenson, L. J. B.: Detecting patterns of change in benthic habitats by acoustic remote sensing, Mar. Ecol. Prog. Ser., 477, 1–13, 2013.
Rattray, A., Ierodiaconou, D., Monk, J., Laurenson, L. J. B., and Kennedy, P.: Quantification of spatial and thematic uncertainty in the application of underwater video for benthic habitat mapping, Mar. Geod., 37, 315–336, 2014.
Rengstorf, A. M., Grehan, A. J., Yesson, C., and Brown, C.: Towards high-resolution habitat suitability modelling of vulnerable marine ecosystems in the deep-sea: resolving terrain attribute dependencies, Mar. Geod., 35, 343–361, 2012.
Rengstorf, A. M., Yesson, C., Brown, C., and Grehan, A. J.: High-resolution habitat suitability modelling can improve conservation of vulnerable marine ecosystems in the deep sea, J. Biogeogr., 40, 1702–1714, 2013.
Rengstorf, A. M., Mohn, C., Brown, C., Wisz, M. S., and Grehan, A. J.: Predicting the distribution of deep-sea vulnerable marine ecosystems using high-resolution data: considerations and novel approaches, Deep Sea Res. Pt I, 93, 72–82, 2014.
Reuter, H. I., Hengl, T., Gessler, P., and Soille, P.: Preparation of DEMs for geomorphometric analysis, in: Geomorphometry: concepts, software, applications, Elsevier, Amsterdam, the Netherlands, 87–120, 2009.
Rigol-Sanchez, J. P., Stuart, N., and Pulido-Bosch, A.: ArcGeomorphometry: a toolbox for geomorphometric characterisation of DEMs in the ArcGIS environment, Comput. Geosci., 85, 155–163, 2015.
Robinson, L. M., Elith, J., Hobday, A. J., Pearson, R. G., Kendall, B. E., Possingham, H. P., and Richardson, A. J.: Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities, Global Ecol. Biogeogr., 20, 211–226, 2011.
Roman, C. and Singh, H.: Consistency based error evaluation for deep sea bathymetric mapping with robotic vehicles, in: Proceedings of the 2006 IEEE international conference on robotics and automation, Orlando, FL, USA, 3568–3574, 2006.
Ross, L. K., Ross, R. E., Stewart, H. A., and Howell, K. L.: The influence of data resolution on predicted distribution and estimates of extent of current protection of three “listed” deep-sea habitats, PloS One, 10, e0140061, https://doi.org/10.1371/journal.pone.0140061, 2015.
Ross, R. E. and Howell, K. L.: Use of predictive habitat modelling to assess the distribution and extent of the current protection of “listed” deep-sea habitats, Divers. Distrib., 19, 433–445, 2013.
Rovere, M., Gamberi, F., Mercorella, A., and Leidi, E.: Geomorphometry of a submarine mass-transport complex and relationships with active faults in a rapidly uplifting margin (Gioia Basin, NE Sicily margin), Mar. Geol., 356, 31–43, 2014.
Roy, S., Hovland, M., Noormets, R., and Olaussen, S.: Seepage in Isfjorden and its tributary fjords, West Spitsbergen, Mar. Geol., 363, 146–159, 2015.
Samadzadeghan, F.: Data integration related to sensors, data and models, Int. Soc. Photogramm., Istanbul, Turkey, 2004.
Sandwell, D. T. and Smith, W. H. F.: Bathymetric estimation, in: Satellite altimetry and Earth Sciences: a handbook of techniques and applications, Academic Press, San Diego, USA, 441–458, 2001.
Sandwell, D. T., Gille, S. T., and Smith, W. H. F.: Bathymetry from space: oceanography, geophysics, and climate. Geoscience Profesional Services, Bethesda, Maryland, USA, 2002.
Sappington, J. M., Longshore, K. M., and Thomson, D. B.: Quantifiying Landscape Ruggedness for Animal Habitat Anaysis: A case Study Using Bighorn Sheep in the Mojave Desert, J. Wildlife Manage., 71, 1419–1426, 2007.
Schabber, G. G., Pike, R. J., and Berlin, G. L.: Terrain-analysis procedures for modelling radar back-scatter, Open-file report 79-1088, U.S. Geological Survey, 61 pp., 1979.
Schimel, A. C. G., Healy, T. R., Johnson, D., and Immenga, D.: Quantitative experimental comparison of single-beam, sidescan, and multibeam benthic habitat maps, ICES J. Mar. Sci., 67, 1766–1779, 2010a.
Schimel, A. C. G., Healy, T. R., McComb, P., and Immenga, D.: Comparison of a self-processed EM3000 multibeam echosounder dataset with a QTC View habitat mapping and a sidescan sonar imagey, Tamaki Strait, New Zealand, J. Coastal Res., 26, 714–725, 2010b.
Serway, R. A. and Beichner, R. J.: Physics for scientists and engineers (Saunders golden sunburst series), 2nd edition, Saunders College Publishing, Philadelphia, USA, 1072 pp., 1983.
Schimel, A. C., Ierodiaconou, D., Hulands, L., and Kennedy, D. M.: Accounting for uncertainty in volumes of seabed change measured with repeat multibeam sonar surveys, Cont. Shelf Res., 111, 52–68, 2015.
Shary, P. A., Sharaya, L. S., and Mitusov, A. V.: The problem of scale-specific and scale-free approaches in geomorphometry, Geogr. Fis. Din. Quat., 28, 81–101, 2005.
Shaw, J., Piper, D. J. W., Fader, G. B. J., King, E. L., Todd, B. J., Bell, T., Batterson, M. J., and Liverman, D. G. E.: A conceptual model of the deglaciation of Atlantic Canada, Quaternary Sci. Rev., 25, 2059–2081, 2006.
Shaw, P. R.: Ridge segmentation, faulting and crustal thickness in the Atlantic Ocean, Nature, 358, 490–493, 1992.
Shaw, P. R. and Lin, J.: Causes and consequences of variations in faulting style at a Mid-Atlantic Ridge. J. Geophys. Res., 98, 21839–21851, 1993.
Shaw, P. R. and Smith, D. K.: Statistical methods for describing seafloor topography, Geophys. Res. Lett., 14, 1061–1064, 1987.
Shaw, P. R. and Smith, D. K.: Robust description of statistically heterogeneous seafloor topography through its slope distribution, J. Geophys. Res., 95, 8705–8722, 1990.
Shih, P. T.-Y., Chen, Y.-H., and Chen, J.-C.: Historic shipwreck study in Dongsha Atoll with bathymetric LiDAR, Archaeol. Prospect., 21, 139–146, 2014.
Sieglitz, T. C.: The Yongala's “Halo of Holes” – systematic bioturbation close to a shipwreck, in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 277–287, 2012.
Smith, D. K. and Shaw, P. R.: Using topographic slope distributions to infer seafloor patterns, IEEE J. Oceanic Eng., 14, 338–347, 1989.
Smith, D. P., Kvitek, R.., Iampietro, P. J., and Wong, K.: Twenty-nine months of geomorphic change in upper Monterey Canyon (2002–2005), Mar. Geol., 236, 79–94, 2007.
Smith, M. J., Paron, P., and Griffiths, J. S.: Geomorphological mapping: methods and applications. Developments in Earth Surface Processes Vol. 15, Elsevier Science, the Netherlands, 610 pp., 2011.
Smith, T. A. and McConnaughey, R. A.: The applicability of sonars for habitat mapping: a bibliography, US Dep. Commer., NOAA Tech. Memo. NMFS-AFSC-317, 129 pp., 2016.
Smith, W. H. F.: On the accuracy of digital bathymetric data, J. Geophys. Res., 98, 9591–9603, 1993.
Smith, W. H. F.: Introduction to this special issue on bathymetry from space, Oceanography, 17, 6–7, 2004.
Smith, W. H. F.: Seafloor tectonic fabric from satellite altimetry, Annu. Rev. Earth Planet. Sci., 26, 697–738, 1998.
Smith, W. H. F. and Sandwell, D. T.: Bathymetry prediction from dense satellite altimetry and sparse shipboard bathymetry, J. Geophys. Res., 99, 12803–21824, 1994.
Smith, W. H. F. and Sandwell, D. T.: Global sea floor topography from satellite altimetry and ship depth soundings, Science, 277, 1956–1962, 1997.
Smith, W. H. F. and Marks, K. M.: Seafloor in the Malaysia Airlines flight MH370 search area, EOS. T. Am. Geophys. Un., 95, 173–180, 2014.
Smith, W. H. F. and Sandwell, D. T.: Bathymetry prediction from dense satellite altimetry and sparse shipboard bathymetry, J. Geophys. Res., 99, 12803–21824, 1994.
Smith, W. H. F. and Wessel, P.: Gridding with continuous curvature spline in tension, Geophysics, 55, 293–305, 1990.
Sofia, G., Pirotti, F., and Tarolli, P.: Variations in multiscale curvature distribution and signatures of LiDAR DTM errors, Earth Surf. Proc. Land., 38, 1116–1134, 2013.
Solan, M., Germano, J. D., Rhoads, D. C., Smith, C., Michaud, E., Parry, D., Wenzhöfer, F., Kennedy, B., Henriques, C., Battle, E., Carey, D., Iocco, L., Valente, R., Watson, J., and Rosenberg, R.: Towards a greater understanding of pattern, scale and process in marine benthic systems: a picture is worth a thousand worms, J. Exp. Mar. Biol. Ecol., 285–286, 313–338, 2003.
Solsten, B. L. and Aitken, A. E.: An application of GIS techniques to assess the risk of disturbance of archaeological sites by mass movement and marine flooding in Auyuittuq National Park Reserve, Nunavut., Geogr. Phys. Quatern., 60, 81–92, 2006.
Speight, J. G.: A parametric approach to landform regions, in: Progress in geomorphology: papers in honour of David L. Linton, Alden Press, London, UK, 239–250, 1974.
Speight, M. and Henderson, P.: Marine ecology, concepts and applications, Wiley-Blackwell, Chichester, UK, 2010.
Stojic, M., Chandler, J., Ashmore, P., and Luce, J.: The assessment of sediment transport rates by automated digital photogrammetry, Photogramm. Eng. Rem. S., 64, 387–395, 1998.
Stoker, J. M., Tyler, D. J., Turnipseed, D. P., Van Wilson Jr., K., and Oimoen, M. J.: Integrating disparate lidar datasets for a regional storm tide inundation analysis of hurricane Katrina, J. Coastal Res., 53, 66–72, 2009.
Storlazzi, C. D., Fregoso, T. A., Figurski, J. D., Freiwald, J., Lonhart, S. I., and Finlayson, D. P.: Burial and exhumation of temperate bedrock reefs as elucidated by repetitive high-resolution sea floor sonar surveys: spatial patterns and impacts to species' richness and diversity, Cont. Shelf Res., 55, 40–51, 2013.
Stow, D. A. V., Hernandez-Molina, F. J., Llave, E., Sayago-Gil, M., Diaz del Rio, V., and Branson, A.: Bedform-velocity matrix: The estimation of bottom current velocity from bedform observations, Geology, 37, 327–330, 2009.
Stretch, R. C., Mitchell, N. C., and Portaro, R. A.: A morphometric analysis of the submarine volcanic ridge south-east of Pico Island, Azores, J. Volcanol. Geoth. Res., 156, 35–54, 2006.
Stumpf, R. P., Holderied, K., and Sinclair, M.: Determination of water depth with high-resolution satellite imagery over variable bottom types, Limnol. Oceanogr., 48, 547–556, 2003.
Su, H., Liu, H., Wang, L., Filippi, A. M., Heyman, W. D., and Beck, R. A.: Geographically adaptive inversion model for improving bathymetric retrieval from satellite multispectral imagery, IEEE T. Geosci. Remote, 52, 465–476, 2014.
Tang, G., Liu, X., Fang, L., and Luo, M.: A review on the scale issue in DEMs and digital terrain analysis.,Geomatics and Information Science of Wuhan University, 31, 1059–1066, 2006.
Teide Group: Morphometric interpretation of the northwest and southeast slopes of Tenerife, Canary Islands, J. Geophys. Res., 102, 20325–20342, 1997.
Temme, A. J. A. M., Heuvelink, G. B. M., Schoorl, J. M., and Claessens, L.: Geostatistical simulation and error propagation in geomorphometry, in: Geomorphometry: concepts, software, applications, Elsevier, Amsterdam, the Netherlands, 121–140, 2009.
Tempera, F., Giacomello, E., Mitchell, N. C., Campos, A. S., Braga Henriques, A., Bashmachnikov, I., Martins, A., Mendonça, A., Morato, T., Colaço, A., Porteiro, F. M., Catarino, D., Gonçalves, J., Pinho, M. R., Isidro, E. J., Santos, R. S., and Menezes, G.: Mapping the Condor seamount seafloor environment and associated biological assemblages (Azores, NE Atlantic), in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 807–818, 2012.
Thiers, L., Louzao, M., Ridoux, V., Corre, M. L., Jaquemet, S., and Weimerskirch, H.: Combining methods to describe important marine habitats for top predators: applications to identify biological hotspots in tropical waters, PLoS ONE, 9, e115057, https://doi.org/10.1371/journal.pone.0115057, 2014.
Tong, R., Purser, A., Guinan, J., and Unnithan, V.: Modeling the habitat suitability of deep-water gorgonian corals based on terrain variables, Ecol. Inform., 13, 123–132, 2013.
Turrero, P., Domínguez-Cuesta, M.-J., Jiménez-Sánchez, M., and García-Vázquez, E.: The spatial distribution of Palaeolithic human settlements and its influence on palaeoecological studies: a case from Northern Iberia, J. Archaeol. Sci., 40, 4127–4138, 2013.
Usery, E. L., Finn, M. P., and Starbuck, M.: Integrating data layers to support the national map of the United States, Int. Cartogr. Conf., Corua, Spain, 2005.
Vachtman, D., Mitchell, N. C., and Gawthorpe, B.: Morphologic signatures in submarine canyons and gullies, central USA Atlantic continental margins, Mar. Petrol. Geol., 41, 250–263, 2013.
van Lancker, V., Moerkerke, G., Du Four, I., Verfaillie, E., Rabaut, M., and Degraer, S.: Fine-scale geomorphological mapping of sandbank environments for the prediction of macrobenthic occurrences, Belgian part of the North Sea, in: Seafloor geomorphology as benthic habitat: GeoHab atlas of seafloor geomorphic features and benthic habitats, Elsevier, Amsterdam, the Netherlands, 251–260, 2012.
Van Rein, H. B., Brown, C. J., Quinn, R., and Breen, J.: A review of sublittoral monitoring methods in temperate waters: a focus on spatial scale, Underwater Technol., 28, 99–113, 2009.
Vierod, A. D. T., Guinotte, J. M., and Davies, A. J.: Predicting the distribution of vulnerable marine ecosystems in the deep sea using presence-background models, Deep-Sea Res. II, 99, 6–18, 2014.
Wang, C. K. and Philpot, W. D.: Using airborne bathymetric LiDAR to detect bottom type variation in shallow waters, Remote Sens. Environ., 106, 123–135, 2007.
Watts, A. B.: On geoid heights derived from the GEOS 3 altimeter data along the Hawaiian-Emperor seamount chain, J. Geophys. Res., 84, 3817–3826, 1979.
Watts, A. B. and Ribe, N. M.: On geoid heights and flexure of the lithosphere at seamounts, J. Geophys. Res., 89, 11152–11170, 1984.
Wedding, L. M., Friedlander, A. M., McGranaghan, M., Yost, R. S., and Monaco, M. E.: Using bathymetric LiDAR to define nearshore benthic habitat complexity: implications for management of reef fish assemblages in Hawaii, Remote Sens. Environ., 112, 4159–4165, 2008.
Weiss, A. D.: Topographic Position and Landform Analysis (poster), ESRI User Conference, San Diego, USA, 2001.
Wessel, P. and Chandler, M. T.: The spatial and temporal distribution of marine geophysical surveys, Acta Geophys., 59, 55–71, 2011.
Westaway, S. J., Lane, S. N., and Hicks, D. M.: Remote survey of large-scale braided rivers using digital photogrammetry and image analysis, Int. J. Remote Sens., 24, 795–816, 2003.
White, M., Mohn, C., and Orren, M. J.: Physical processes and seamount productivity, in: Seamounts: ecology, fisheries and conservation, Blackwell Publishing, UK, 65–84, 2007.
Whittingham, M. J., Percival, S. M., and Brown, A. F.: Nest-site selection by golden plover: why do shorebirds avoid nesting on slopes?, J. Avian Biol., 33, 184–190, 2002.
Wilson, M. F. J.: Deep sea habitat mapping using a Remotely Operated Vehicle: mapping and modelling seabed terrain and benthic habitat at multiple scales in the Porcupine Seabight, SW Ireland, PhD Thesis, National University of Ireland, Galway, Ireland, 2006.
Wilson, M. F. J., O'Connell, B., Brown, C., Guinan, J. C., and Grehan, A. J.: Multiscale Terrain Analysis of Multibeam Bathymetry Data for Habitat Mapping on the Continental Slope, Mar. Geod., 30, 3–35, 2007.
Winterbottom, S. J. and Gilvear, D. J.: Quantification of channel bed morphology in gravel-bed rivers using airborne multispectral imagery and aerial photography, Regul. River., 13, 489–499, 1997.
Wise, S. M.: The effect of GIS interpolation errors on the use of digital elevation models in geomorphology, in: Landform monitoring, modelling and analysis, Wiley, Chichester, UK, 139–164, 1998.
Wood, J.: The Geomorphological Characterisation of Digital Elevation Models, PhD Thesis, University of Leicester, UK, 1996.
Wood, J.: Landserf Version 2.3, available at: www.landserf.org (last access: 3 August 2016), 2009.
Wood, L. J.: Quantitative seismic geomorphology and reservoir architecture of clastic depositional systems: the future of uncertainty analysis in exploration and production, AAPG Ann. Meet., 182–183, 2003.
Wood, L. J. and Dragicevic, S.: GIS-based multicriteria evaluation and fuzzy sets to identify priority sites for marine protection, Biodivers. Conserv., 16, 2539–2558, 2007.
Wright, D. J., Pendleton, M., Boulware, J., Walbridge, S., Gerlt, B., Eslinger, D., Sampson, D., and Huntley, E.: ArcGIS Benthic Terrain Modeler (BTM), v. 3.0, Environmental Systems Research Institute, NOAA Coastal Services Center, Massachusetts Office of Coastal Zone Management, 2012.
Yang, F., Li, J., Wu, Z., Jin, X., Chu, F., and Kang, Z.: A post-processing method for the removal of refraction artifacts in multibeam bathymetry data, Mar. Geod., 30, 235-247, 2007.
Zavalas, R., Ierodiaconou, D., Ryan, D., Rattray, A., and Monk, J.: Habitat classification of temperate marine macroalgal communities using bathymetric LiDAR, Remote Sens., 6, 2154–2175, 2014.
Zeng, H. L. and Hentz, T. F.: High-frequency sequence stratigraphy from seismic sedimentology applied to Miocene, Vermilion Block 50, Tiger Shoal area, offshore Louisiana, AAPG Bull., 88, 153–174, 2004.
Zevenbergen, L. W. and Thorne, C.: Quantitative analysis of land surface topography, Earth Surf. Proc. Land., 12, 47–56, 1987.
Zhang, J.: Multi-source remote sensing data fusion: status and trends, Int. J. Image Data Fusion, 1, 5–24, 2010.
Zhang, J., Atkinson, P. M., and Goodchild, M. F.: Scale in spatial information and analysis, CRC Press, Boca Raton, FL, USA, 2014.
Zhou, Q. and Liu, X.: Analysis of errors of derived slope and aspect related to DEM data properties, Comput. Geosci., 30, 369–378, 2004.
Zieger, S., Stieglitz, T., and Kininmonth, S.: Mapping reef features from multibeam sonar data using multiscale morphometric analysis, Mar. Geol., 264, 209–217, 2009.
Short summary
Geomorphometry, the science of quantitative terrain characterization, has traditionally focused on the investigation of terrestrial landscapes. More recently, a suite of geomorphometric techniques have been applied to characterize the seafloor. The dynamic, four-dimensional nature of the marine environment and differences in data collection methods cause issues for geomorphometry that are specific to marine applications. This article offers the first review of marine geomorphometry to date.
Geomorphometry, the science of quantitative terrain characterization, has traditionally focused...