Geomorphometric analysis of nearshore sedimentary bedforms from high-resolution multi-temporal satellite-derived bathymetry

References

• Agrafiotis P, Skarlatos D, Georgopoulos A, Karantzalos K. 2019. Shallow water bathymetry mapping from UAV imagery based on machine learning. Int Arch Photogramm Remote Sens Spatial Inf Sci. XLII-2/W10:9–16.
   Google Scholar
• Ahola R, Chénier R, Sagram M, Horner B. 2020. The impact of sensors for satellite derived bathymetry within the Canadian Arctic. Geomatica. 74(2):46–64.
   Google Scholar
• Alevizos E. 2020. A combined machine learning and residual analysis approach for improved retrieval of shallow bathymetry from hyperspectral imagery and sparse ground truth data. Remote Sens. 12(21):3489.
   Google Scholar
• Alevizos E, Greinert J. 2018. The hyper-angular cube concept for improving the spatial and acoustic resolution of MBES backscatter angular response analysis. Geosciences 8(12):446.
   Web of Science ®Google Scholar
• Alexandrakis G. 2014. Estimation of the climatic change impact to beach tourism using joined vulnerability analysis and econometric modeling. [accessed 2021 Feb 6]. [WWW Document]. URL/paper/ESTIMATION-OF-THE-CLIMATIC-CHANGE-IMPACT-TO-BEACH-Alexandrakis/6bf7a654f6edea3fb7c22192e0a617b863f20cec.
   Google Scholar
• Andreeva N, Saprykina Y, Valchev N, Eftimova P, Kuznetsov S. 2021. Influence of wave climate on intra and inter-annual nearshore bar dynamics for a Sandy beach. Geosciences. 11(5):206.
   Web of Science ®Google Scholar
• Armon M, Dente E, Shmilovitz Y, Mushkin A, Cohen TJ, Morin E, Enzel Y. 2020. Determining bathymetry of shallow and ephemeral desert lakes using satellite imagery and altimetry. Geophys Res Lett. 47(7):e2020GL087367.
   Web of Science ®Google Scholar
• Bergsma EWJ, Conley DC, Davidson MA, O'Hare TJ. 2016. Video-based nearshore bathymetry estimation in macro-tidal environments. Mar Geol. 374:31–41.
   Web of Science ®Google Scholar
• Bolaños R, Hansen LB, Rasmussen ML, Golestani M, Mariegaard JS, Nielsen LT. 2018. Coastal bathymetry from satellite and its use on coastal modelling. Int Conf Coastal Eng. (36):98.
   Google Scholar
• Breiman L. 2001. Random forests. Mach Learn. 45(1):5–32.
   Web of Science ®Google Scholar
• Brock JC, Purkis SJ. 2009. The emerging role of lidar remote sensing in coastal research and resource management. J Coast Res. 10053:1–5.
   Google Scholar
• Caballero I, Stumpf RP. 2019. Retrieval of nearshore bathymetry from Sentinel-2A and 2B satellites in South Florida coastal waters. Estuar Coast Shelf Sci. 226:106277.
   Web of Science ®Google Scholar
• Capo S, Lubac B, Marieu V, Robinet A, Bru D, Bonneton P. 2014. Assessment of the decadal morphodynamic evolution of a mixed energy inlet using ocean color remote sensing. Ocean Dyn. 64(10):1517–1530.
   Web of Science ®Google Scholar
• Carvalho RC, Hamylton S, Woodroffe CD. 2017. Filling the ‘white ribbon’ in temperate Australia: A multi-approach method to map the terrestrial-marine interface. In: 2017 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics). Presented at the 2017 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics), pp. 1–5.
   Google Scholar
• Castelle B, Ruessink BG, Bonneton P, Marieu V, Bruneau N, Price TD. 2010. Coupling mechanisms in double sandbar systems. Part 1: patterns and physical explanation. Earth Surf Process Landf. 35:476–486.
   Web of Science ®Google Scholar
• Chen Y, Le Y, Zhang D, Wang Y, Qiu Z, Wang L. 2021. A photon-counting LiDAR bathymetric method based on adaptive variable ellipse filtering. Remote Sens Environ. 256:112326.
   Web of Science ®Google Scholar
• Conrad O, Bechtel B, Bock M, Dietrich H, Fischer E, Gerlitz L, Wehberg J, Wichmann V, Böhner J. 2015. System for Automated Geoscientific Analyses (SAGA) v. 2.1.4. Geosci Model Dev. 8(7):1991–2007.
   Web of Science ®Google Scholar
• Costa BM, Battista TA, Pittman SJ. 2009. Comparative evaluation of airborne LiDAR and ship-based multibeam SoNAR bathymetry and intensity for mapping coral reef ecosystems. Remote Sens Environ. 113(5):1082–1100.
   Web of Science ®Google Scholar
• Davidson M, Van Koningsveld M, de Kruif A, Rawson J, Holman R, Lamberti A, Medina R, Kroon A, Aarninkhof S. 2007. The CoastView project: Developing video-derived Coastal State Indicators in support of coastal zone management. Coast Eng. 54(6-7):463–475.
   Web of Science ®Google Scholar
• de Swart HE, Zimmerman JTF. 2009. Morphodynamics of tidal inlet systems. Annu Rev Fluid Mech. 41(1):203–229.
   Google Scholar
• Dean R. 1991. Equilibrium beach profiles: characteristics and applications. J Coast Res. 7:53–84.
   Web of Science ®Google Scholar
• Dekker AG, Phinn SR, Anstee J, Bissett P, Brando VE, Casey B, Fearns P, Hedley J, Klonowski W, Lee ZP, et al. 2011. Intercomparison of shallow water bathymetry, hydro-optics, and benthos mapping techniques in Australian and Caribbean coastal environments. Limnol Oceanogr Methods. 9(9):396–425.
   Google Scholar
• Deronde B, Houthuys R, Debruyn W, Fransaer D, Lancker VV, Henriet J-P. 2006. Use of airborne hyperspectral data and laserscan data to study beach morphodynamics along the Belgian Coast. J Coast Res. 225:1108–1117.
   Google Scholar
• Diesing M, Green SL, Stephens D, Lark RM, Stewart HA, Dove D. 2014. Mapping seabed sediments: comparison of manual, geostatistical, object-based image analysis and machine learning approaches. Cont Shelf Res. 84:107–119.
   Web of Science ®Google Scholar
• Dodd N, Blondeaux P, Calvete D, Swart HED, Falqués A, Hulscher SJMH, Różyński G, Vittori G. 2003. Understanding coastal morphodynamics using stability methods. J Coast Res. 19:849–865.
   Web of Science ®Google Scholar
• Eugenio F, Marcello J, Martin J, Rodríguez-Esparragón D. 2017. Benthic habitat mapping using multispectral high-resolution imagery: evaluation of shallow water atmospheric correction techniques. Sensors. 17(11):2639.
   PubMed Web of Science ®Google Scholar
• Foteinis S, Synolakis C, Tsoutsos T. 2018. Numerical modelling for coastal structures design and planning. A case study of the Venetian Harbour of Chania, Greece. 4:232.
   Google Scholar
• Freire R, Pe’eri S, Madore B, Rzhanov Y, Alexander L, Parrish C, Lippmann T. 2015. Monitoring near-shore bathymetry using a multi-image satellite-derived bathymetry approach.
   Google Scholar
• Garnier R, Calvete D, Falques A, Caballeria M. 2006. Generation and nonlinear evolution of shore-oblique/transverse sand bars. J Fluid Mech. 567:327–360.
   Web of Science ®Google Scholar
• Garnier R, Falqués A, Calvete D, Thiébot J, Ribas F. 2013. A mechanism for sandbar straightening by oblique wave incidence. Geophys Res Lett. 40(11):2726–2730.
   Web of Science ®Google Scholar
• Geyman EC, Maloof AC. 2019. A simple method for extracting water depth from multispectral satellite imagery in regions of variable bottom type. Earth Space Sci. 6(3):527–537.
   Web of Science ®Google Scholar
• Gholamalifard M, Kutser T, Esmaili-Sari A, Abkar AA, Naimi B. 2013. Remotely sensed empirical modeling of Bathymetry in the Southeastern Caspian Sea. Remote Sens. 5(6):2746–2762.
   Google Scholar
• Goes ER, Brown CJ, Araújo TC. 2019. Geomorphological classification of the benthic structures on a tropical continental shelf. Front Mar Sci. 6.
   Web of Science ®Google Scholar
• Guenther GC, Lillycrop WJ, Banic JR. 2002. Future advancements in airborne hydrography. Int Hydrogr Rev. 3(2):67–90.
   Google Scholar
• Holman RA, Symonds G, Thornton EB, Ranasinghe R. 2006. Rip spacing and persistence on an embayed beach. J Geophys Res, 111:1–17.
   PubMed Web of Science ®Google Scholar
• Hsu H-J, Huang C-Y, Jasinski M, Li Y, Gao H, Yamanokuchi T, Wang C-G, Chang T-M, Ren H, Kuo C-Y, et al. 2021. A semi-empirical scheme for bathymetric mapping in shallow water by ICESat-2 and Sentinel-2: a case study in the South China Sea. ISPRS J Photogramm Remote Sens. 178:1–19.
   Web of Science ®Google Scholar
• Ignatiades L. 1998. The productive and optical status of the oligotrophic waters of the Southern Aegean Sea (Cretan Sea), Eastern Mediterranean. J Plankton Res. 20(5):985–995.
   Web of Science ®Google Scholar
• Irish JL, White TE. 1998. Coastal engineering applications of high-resolution lidar bathymetry. Coast Eng. 35(1-2):47–71.
   Web of Science ®Google Scholar
• Kenny AJ, Cato I, Desprez M, Fader G, Schüttenhelm RTE, Side J. 2003. An overview of seabed-mapping technologies in the context of marine habitat classification. ICES J Mar Sci. 60(2):411–418.
   Web of Science ®Google Scholar
• Kerr JM, Purkis S. 2018. An algorithm for optically-deriving water depth from multispectral imagery in coral reef landscapes in the absence of ground-truth data. Remote Sens Environ. 210:307–324.
   Web of Science ®Google Scholar
• Klemas V. 2011. Beach profiling and LIDAR Bathymetry: an overview with case studies. J Coast Res. 277:1019–1028.
   Google Scholar
• Kriebel DL, Dean RG. 1993. Convolution method for time‐dependent beach‐profile response. J. Waterw Port Coast Ocean Eng. 119(2):204–226.
   Web of Science ®Google Scholar
• Kutser T, Miller I, Jupp DLB. 2006. Mapping coral reef benthic substrates using hyperspectral space-borne images and spectral libraries. Estuar Coast Shelf Sci Trace Gases in the European Coastal Zone. 70(3):449–460.
   Web of Science ®Google Scholar
• Lee JS. 1980. Digital image enhancement and noise filtering by use of local statistics. IEEE Trans Pattern Anal Mach Intell. 2(2):165–168.
   PubMed Web of Science ®Google Scholar
• Lee JS, Papathanassiou KP, Ainsworth TL, Grunes MR, Reigber A. 1998. A new technique for noise filtering of SAR interferometric phase images. IEEE Trans Geosci Remote Sens. 36(5):1456–1465.
   Web of Science ®Google Scholar
• Li Y, Gao H, Zhao G, Tseng K-H. 2020. A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry. Remote Sens. Environ. 244:111831.
   Web of Science ®Google Scholar
• Liu H, Arii M, Sato S, Tajima Y. 2012. Long-term nearshore bathymetry evolution from video imagery: a case study in the Miyazaki coast. Int Conf Coastal Eng. 1(33):60.
   Google Scholar
• Liu S, Gao Y, Zheng W, Li X. 2015. Performance of two neural network models in bathymetry. Remote Sens Lett. 6(4):321–330.
   Web of Science ®Google Scholar
• Lundblad ER, Wright DJ, Miller J, Larkin EM, Rinehart R, Naar DF, Donahue BT, Anderson SM, Battista T. 2006. A benthic terrain classification scheme for American Samoa. Mar Geod. 29(2):89–111.
   Google Scholar
• Lyzenga DR. 1978. Passive remote sensing techniques for mapping water depth and bottom features. Appl Opt. 17(3):379–383.
   PubMed Web of Science ®Google Scholar
• Ma Y, Xu N, Liu Z, Yang B, Yang F, Wang XH, Li S. 2020. Satellite-derived bathymetry using the ICESat-2 lidar and Sentinel-2 imagery datasets. Remote Sens Environ. 250:112047.
   Web of Science ®Google Scholar
• Manessa MDM, Setiawan KT, Haidar M, Supriatna S, Pataropura A, Supardjo AH. 2020. Optimization of the random forest algorithm for multispectral derived bathymetry. Int J Geoinformatics. 16:1–6.
   Google Scholar
• Marcello J, Eugenio F, Martín J, Marqués F. 2018. Seabed mapping in coastal shallow waters using high resolution multispectral and hyperspectral imagery. Remote Sens. 10(8):1208.
   Google Scholar
• Misra A, Ramakrishnan B. 2020. Assessment of coastal geomorphological changes using multi-temporal satellite-derived Bathymetry. Cont Shelf Res. 207:104213.
   Web of Science ®Google Scholar
• Niroumand-Jadidi M, Bovolo F, Bruzzone L. 2020. SMART-SDB: sample-specific multiple band ratio technique for satellite-derived bathymetry. Remote Sens Environ. 251:112091.
   Web of Science ®Google Scholar
• Price TD, Ruessink BG. 2011. State dynamics of a double sandbar system. Cont Shelf Res. 31(6):659–674.
   Web of Science ®Google Scholar
• Ribas F, Falqués A, de Swart HE, Dodd N, Garnier R, Calvete D. 2015. Understanding coastal morphodynamic patterns from depth-averaged sediment concentration. Rev Geophys. 53(2):362–410.
   Web of Science ®Google Scholar
• Roberts JJ, Best BD, Dunn DC, Treml EA, Halpin PN. 2010. Marine geospatial ecology tools: an integrated framework for ecological geoprocessing with ArcGIS, Python, R, MATLAB, and C++. Environ Model Softw. 25(10):1197–1207.
   Web of Science ®Google Scholar
• Sagawa T, Yamashita Y, Okumura T, Yamanokuchi T. 2019. Satellite derived bathymetry using machine learning and multi-temporal satellite images. Remote Sens. 11(10):1155.
   Google Scholar
• Schwarz R, Mandlburger G, Pfennigbauer M, Pfeifer N. 2019. Design and evaluation of a full-wave surface and bottom-detection algorithm for LiDAR bathymetry of very shallow waters. ISPRS J Photogramm Remote Sens. 150:1–10.
   Web of Science ®Google Scholar
• Selige T, Boehner J, Ringeler A. 2006. Processing of SRT M X-SAR Data to correct interferometric elevation models for land surface process applications. In: Boehner J, McCloy KR, Strobl J (EdS.). SAGA – Analysis and Modelling Applications. Goettinger Geographische Abhandlungen; Vol. 115, pp. 97–104. http://downloads.sourceforge.net/saga-gis/gga115_09.pdf.
   Google Scholar
• Short, A.D. (Ed.), 2000. Handbook of beach and shoreface morphodynamics, 1st ed. New York: Wiley.
   Google Scholar
• Splinter KD, Holman RA, Plant NG. 2011. A behavior-oriented dynamic model for sandbar migration and 2DH evolution. J Geophys Res. 116:1–21.
   Web of Science ®Google Scholar
• Stumpf RP, Holderied K, Sinclair M. 2003. Determination of water depth with high-resolution satellite imagery over variable bottom types. Limnol Oceanogr. 48(1part2):547–556.
   Web of Science ®Google Scholar
• Synolakis CE, Kalligeris N, Foteinis S, Voukouvalas E. 2008. The plight of the beaches of Crete. Solut. Coast. Disasters Congr, 495–506.
   Google Scholar
• Taramelli A, Cappucci S, Valentini E, Rossi L, Lisi I. 2020. Nearshore sandbar classification of Sabaudia (Italy) with LiDAR Data: the FHyL approach. Remote Sens. 12(7):1053.
   Google Scholar
• Thornton EB, MacMahan J, Sallenger AH. 2007. Rip currents, mega-cusps, and eroding dunes. Mar. Geol. 240(1-4):151–167.
   Web of Science ®Google Scholar
• Tonion F, Pirotti F, Faina G, Paltrinieri D. 2020. A machine learning approach to multispectral satellite derived bathymetry, In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Presented at the XXIV ISPRS Congress, Commission III (Volume V-3-2020) - 2020 edition, Copernicus GmbH, p. 565–570.
   Google Scholar
• Traganos D, Poursanidis D, Aggarwal B, Chrysoulakis N, Reinartz P. 2018. Estimating satellite-derived bathymetry (SDB) with the Google Earth Engine and Sentinel-2. Remote Sens. 10(6):859.
   Google Scholar
• Tsoukala VK, Katsardi V, Ηadjibiros K, Moutzouris CI. 2015. Beach erosion and consequential impacts due to the presence of harbours in sandy beaches in Greece and Cyprus. Environ Process. 2(S1):55–71.
   Google Scholar
• van Dongeren A, Plant N, Cohen A, Roelvink D, Haller MC, Catalán P. 2008. Beach wizard: Nearshore bathymetry estimation through assimilation of model computations and remote observations. Coast. Eng. 55(12):1016–1027.
   Web of Science ®Google Scholar
• van Leeuwen SM, van der Vegt M, de Swart HE. 2003. Morphodynamics of ebb-tidal deltas: a model approach. Estuar. Coast. Shelf Sci. 57(5-6):899–907.
   Web of Science ®Google Scholar
• Walbridge S, Slocum N, Pobuda M, Wright DJ. 2018. Unified geomorphological analysis workflows with benthic terrain modeler. Geosciences. 8(3):94.
   Web of Science ®Google Scholar
• Wang C-K, Philpot WD. 2007. Using airborne bathymetric lidar to detect bottom type variation in shallow waters. Remote Sens Environ. 106(1):123–135.
   Web of Science ®Google Scholar
• Wang L, Liu H, Su H, Wang J. 2019. Bathymetry retrieval from optical images with spatially distributed support vector machines. GIScience Remote Sens. 56(3):323–337.
   Web of Science ®Google Scholar
• Zhang C. 2015. Applying data fusion techniques for benthic habitat mapping and monitoring in a coral reef ecosystem. ISPRS J Photogramm Remote Sens. 104:213–223.
   Web of Science ®Google Scholar