Bathymetry fusion using multiple-point geostatistics: Novelty and challenges in representing non-stationary bedforms

Environmental Modelling and Software

Volumn 50, Issue , 2013, Pages 66-76

  Jha, Sanjeev Kumar ^a,b   Mariethoz, Gregoire ^a,b   Kelly, Bryce F J ^a,b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b NATIONAL CENTRE FOR GROUNDWATER RESEARCH AND TRAINING   (Australia)

Author keywords

Bathymetry; Bedforms; Direct sampling; Geostatistics; Multiple point geostatistics

Indexed keywords

BEDFORMS; DIRECT SAMPLING; GEO-STATISTICS; HIGH RESOLUTION BATHYMETRY; HIGH-RESOLUTION MEASUREMENTS; INCORPORATING PRIOR KNOWLEDGE; MULTIPLE-POINT GEOSTATISTICS; MULTIPLE-POINT STATISTICS;

BATHYMETRY; BOATS; GEOMETRY; RIVERS; SEDIMENT TRANSPORT; UNCERTAINTY ANALYSIS;

HYDROGRAPHIC SURVEYS;

BATHYMETRY; BEDFORM; DEPOSITIONAL ENVIRONMENT; FLUVIAL DEPOSIT; FLUVIAL GEOMORPHOLOGY; GEOSTATISTICS; SENSOR; SPATIAL RESOLUTION;

MISSISSIPPI RIVER; UNITED STATES;

EID: 84884728117     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.09.001     Document Type: Article

References (52)

1. Alcântara E., Novo E., Stech J., Assireu A., Nascimento R., Lorenzzetti J., Souza A. Integrating historical topographic maps and SRTM data to derive the bathymetry of a tropical reservoir. J.Hydrol. 2010, 389(3):311-316.
2. Arpat B.G., Caers J. Stochastic simulation with patterns. Math. Geol. 2007, 39(202):177-203.
3. Bailly J.S., Le Coarer Y., Languille P., Stigermark C.J., Allouis T. Geostatistical estimations of bathymetric LiDAR errors on rivers. Earth Surf. Proces. Landf. 2010, 35(10):1199-1210.
4. Barnes R., Watson A. Efficient updating of kriging estimates and variances. Math. Geol. 1992, 24(1):129-133.
5. Bennett N.D., Croke B.F., Guariso G., Guillaume J.H., Hamilton S.H., Jakeman A.J., Marsili-Libelli S., Newham L.T., Norton J.P., Perrin C. Characterising performance of environmental models. Environ. Model. Softw. 2013, 40:1-20.
6. Boucher A., Kyriakidis P.C., Cronkite-Ratcliff C. Geostatistical solutions for super-resolution land cover mapping. IEEE Trans. Geosci. Remote Sens. 2008, 46(1):272-283.
7. Calder B. On the uncertainty of archive hydrographic data sets. IEEE J. Ocean. Eng. 2006, 31:249-265.
8. Carter G.S., Shankar U. Creating rectangular bathymetry grids for environmental numerical modelling of gravel-bed rivers. Appl. Math. Model. 1997, 21(11):699-708.
9. Chappell A., Heritage G.L., Fuller I.C., Large A.R.G., Milan D.J. Geostatistical analysis of ground-survey elevation data to elucidate spatial and temporal river channel change. Earth Surf. Proces. Landf. 2003, 28(4):349-370.
10. Chugunova T., Hu L. Multiple-point Statistical Simulations Constrained by Continuous Auxiliary Data 2006, Int. Assoc. for Mathematical Geology XIth International Congress: Université de Liège, Belgium.
11. Coleman J.B., Yao X., Jordan T.R., Madden M. Holes in the ocean: filling voids in bathymetric lidar data. Comput. Geosci. 2011, 37(4):474-484.
12. Costa B., Battista T., Pittman S. Comparative evaluation of airborne LiDAR and ship-based multibeam SoNAR bathymetry and intensity for mapping coral reef ecosystems. Remote Sens. Environ. 2009, 113(5):1082-1100.
13. Cutter G., Rzhanov Y., Mayer L. Automated segmentation of seafloor bathymetry from multibeam echosounder data using local Fourier histogram texture features. J.Exp. Mar. Biol. Ecol. 2003, 285:355-370.
14. Elmore P., Steed C.A. Algorithm Design Study for Bathymetry Fusion-review of Current State-of-the-art and Recommended Design Approach 2008, (DTIC Document).
15. Feyen L., Caers J. Quantifying geological uncertainty for flow and transport modeling in multi-modal heterogeneous formations. Adv. Water Res. 2006, 29(6):912-929.
16. Fonstad M.A., Marcus W.A. High resolution, basin extent observations and implications for understanding river form and process. Earth Surf. Proces. Landf. 2010, 35(6):680-698.
17. Fuller I., Basher L. Riverbed digital elevation models as a tool for holistic river management: Motueka River, Nelson, New Zealand. River Res. Appl. June 2013, 29(5):619-633.
18. Furnans J., Austin B. Hydrographic survey methods for determining reservoir volume. Environ. Model. Softw. 2008, 23(2):139-146.
19. Gesch D., Wilson R. Development of a seamless multisource topographic/bathymetric elevation model of Tampa Bay. Mar. Technol. Soc. J. 2002, 35(4):58-64.
20. Gómez-Hernández J.J., Wen X.H. To be or not to be multi-Gaussian? A reflection on stochastic hydrogeology. Adv. Water Res. 1998, 21(1):47-61.
21. Gooseff M.N., Anderson J.K., Wondzell S.M., LaNier J., Haggerty R. Amodelling study of hyporheic exchange pattern and the sequence, size, and spacing of stream bedforms in mountain stream networks, Oregon, USA. Hydrol. Proces. 2006, 20(11):2443-2457.
22. Goovaerts P. Geostatistics for Natural Resources Evaluation 1997, Oxford University Press, USA.
23. Guardiano F., Srivastava R.M. Multivariate geostatistics: beyond bivariate moments. Geostat.-troia 1993, 1:133-144.
24. Honarkhah M., Caers J. Stochastic simulation of patterns using distance-based pattern modeling. Math. Geosci. 2010, 42(5):487-517.
25. Jena B., Kurian P., Swain D., Tyagi A., Ravindra R. Prediction of bathymetry from satellite altimeter based gravity in the Arabian Sea: mapping of two unnamed deep seamounts. Int. J. Appl. Earth Obs. Geoinform. 2012, 16:1-4.
26. Jerosch K. Geostatistical mapping and spatial variability of surficial sediment types on the Beaufort Shelf based on grain size data. J.Mar. Syst. 2012.
27. Jha S., Bailey B., Minsker B., Cash R., Best J. Updating River Bathymetry with Multiple Data Sources Using Kriging 2011, 1329. American Geophysical Union.
28. Jha S.K., Mariethoz G., Evans J.P., McCabe M.F. Demonstration of a geostatistical approach to physically consistent downscaling of climate modeling simulations. Water Res. Res. 2013, 49:245-259.
29. Jiang C., Li J., de Swart H.E. Effects of navigational works on morphological changes in the bar area of the Yangtze Estuary. Geomorphology 2011, 139-140:205-219.
30. Journel A., Zhang T. The necessity of a multiple-point prior model. Math. Geol. 2006, 38(5):591-610.
31. Journel A.G., Huijbregts C.J. Mining Geostatistics 1978, Academic Press.
32. Legleiter C. Mapping river depth from publicly available aerial images. River Res. Appl. July 2013, 29(6):760-780.
33. Legleiter C.J., Kyriakidis P.C. Spatial prediction of river channel topography by kriging. Earth Surf. Proces. Landf. 2008, 33(6):841-867.
34. Legleiter C.J., Roberts D.A. Aforward image model for passive optical remote sensing of river bathymetry. Remote Sens. Environ. 2009, 113(5):1025-1045.
35. Liu X., Parker G., Czuba J.A., Oberg K., Mier J.M., Best J.L., Parsons D.R., Ashmore P., Krishnappan B.G., Garcia M.H. Sediment mobility and bed armoring in the St Clair River: insights from hydrodynamic modeling. Earth Surf. Process. Landf. 2012, 37(9):957-970. 10.1002/esp.3215.
36. Mantas V., Pereira A., Neto J., Patrício J., Marques J. Monitoring estuarine water quality using satellite imagery. The Mondego river estuary (Portugal) as a case study. Ocean Coast. Manag. 2011, 72:13-21.
37. Mariethoz G., Kelly B.F.J. Modeling complex geological structures with elementary training images and transform-invariant distances. Water Res. Res. 2011, 47(7):W07527.
38. Mariethoz G., McCabe M.F., Renard P. Spatiotemporal reconstruction of gaps in multivariate fields using the direct sampling approach. Water Resour. Res. 2012, 48(10).
39. Mariethoz G., Renard P., Straubhaar J. The direct sampling method to perform multiple-point geostatistical simulations. Water Resour. Res. 2010, 46(11):W11536.
40. Masetti G., Calder B. Remote identification of a shipwreck site from MBES backscatter. J.Environ. Manag. 2012, 111:44-52.
41. Meerschman E., Pirot G., Mariethoz G., Straubhaar J., Van Merivenne M., Renard P. Apractical guide to performing multiple-point geostatistical simulations with the direct sampling algorithm. Comput. Geosci. 2013, 52:307-324.
42. Merwade V. Effect of spatial trends on interpolation of river bathymetry. J.Hydrol. 2009, 371(1-4):169-181.
43. Merwade V.M., Maidment D.R., Goff J.A. Anisotropic considerations while interpolating river channel bathymetry. J.Hydrol. 2006, 331(3):731-741.
44. Quinn R., Boland D. The role of time-lapse bathymetric surveys in assessing morphological change at shipwreck sites. J.Archaeol. Sci. 2010, 37(11):2938-2946.
45. Shelley J., Abraham D., McAlpin T. Removing systemic bias in bed-load transport measurements in large sand-bed rivers. J. Hydraul. Eng. 2013, (Apr. 1, 2013). 10.1061/(ASCE)HY.1943-7900.0000760.
46. Simmons S., Parsons D., Best J., Malzone C., Keevil G. Measurement of Large-scale Sediment Transport Dynamics Using Multibeam Sonar 2007, 892. AGU Fall Meeting.
47. Sindhu B., Suresh I., Unnikrishnan A., Bhatkar N., Neetu S., Michael G. Improved bathymetric datasets for the shallow water regions in the Indian Ocean. J.Earth Syst. Sci. 2007, 116(3):261-274.
48. Straubhaar J., Renard P., Mariethoz G., Froidevaux R., Besson O. An improved parallel multiple-point algorithm using a list approach. Math. Geosci. 2011, 1-24.
49. Strebelle S. Conditional simulation of complex geological structures using multiple-point statistics. Math. Geol. 2002, 34(1):1-21.
50. Stumpf R.P., Holderied K., Sinclair M. Determination of water depth with high-resolution satellite imagery over variable bottom types. Limnol. Oceanogr. 2003, 547-556.
51. Wozencraft J., Millar D. Airborne lidar and integrated technologies for coastal mapping and nautical charting. Mar. Technol. Soc. J. 2005, 39(3):27-35.
52. Zhang T. Filter-based Training Pattern Classification for Spatial Pattern Simulation 2006, Stanford University.