Extraction of watersheds from digital elevation models using mathematical morphology

Journal of Applied Sciences

Volumn 8, Issue 6, 2008, Pages 956-965

  Sathyamoorthy, Dinesh ^a  

^a Ministry of Defence   (Malaysia)

Author keywords

Digital elevation models; Morphological smoothening by reconstruction; Pits; Skeletonization by influence zone; Ultimate erosion; Watersheds

Indexed keywords

CATCHMENTS; DIGITAL INSTRUMENTS; EROSION; EXTRACTION; FORESTRY; GEOMORPHOLOGY; IMAGE RECONSTRUCTION; MATHEMATICAL MORPHOLOGY; WATERSHEDS;

DIGITAL ELEVATION MODEL; FLAT AREA; GREAT BASIN; GTOPO30; INFLUENCE ZONES; PITS; SKELETONIZATION; WATERSHED EXTRACTION;

SURVEYING;

EID: 41949089388     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2008.956.965     Document Type: Article

References (52)

1. Band, L.E., 1986. Topographic partitions of watersheds with digitai elevation models. Water Resour. Res., 22 (1): 15-24.
2. Benosky, C.P. and C.J. Merry, 1995. Automatic extraction of watershed characteristics using spatial analysis techniques with application to groundwater mapping. J. Hydrol., 173 (1-4): 145-163.
3. Bertolo, F., 2000. Catchment delineation and characterization: A review. Catchment Characterisation and Modelling Euro Landscape Project. Space Applications Institute, Joint Research Centre Ispra (Va). Italy.
4. Chockalingam, L. and B.S.D. Sagar, 22003. Automatic generation of sub-watershed map from digital elevation model: A morphological approach. Int. J. Pattern Recogn., 17 (2): 269-274.
5. Dinesh, S., 2006. Digital elevation model smoothening using morphological smoothening by reconstruction. International Conference on Science and Technology: Applications in Industry and Education (ICSTIE '06), Universiti Teknologi MARA (UiTM) Pulau Pinang, 8-9 December.
6. Dinesh, S., 2007a. The effect of morphological smoothening by reconstruction on the extraction of peaks and pits from digital elevation models. Pattern Recogn Lett., 28 (12): 1400-1406.
7. Dinesh, S., 2007b. Extraction of hydrological features from digital elevation models using morphological thinning. Asian J. Sci. Res. (In Press).
8. Douglas, D.H., 1986. Experiments to locate ridges and channels to create a new type of digital elevation model. Cartographica, 23 (4): 29-61.
9. Duchane, P. and D. Lewis, 1996. Visilog 5 Documentation. Noesis Vision, Quebec, Canada.
10. Fairfield, J. and P. Laymarie, 1991. Drainage networks from grid digital elevation models. Water Resour. Res., 30 (6): 1681-1692.
11. Fisher, B., S. Perkins, A. Walker and E. Wolfart, 1994. Hypermedia Image Processing Reference. Wiley, New York.
12. Freeman, T.G., 1991. Calculating catchment area with divergent flow based on a regular grid. Comput. Geosci., 17 (3): 413-422.
13. Garbrecht, J. and L.W. Martz, 1997. The assignment of drainage direction over flat surfaces in raster digital elevation models. J. Hydrol., 193 (1-4): 204-213.
14. Gilbert, G.K., 1909. The convexity of hilltops. J. Geol., 17 (4): 344-350.
15. Howard, A.D., 1994. A detachment-limited model of drainage basin evolution. Water Resour. Res., 30 (7): 2261-2285.
16. Hutchinson, M., 1999. A new procedure for gridding elevation and stream line data with automatic removal of spurious pits. J. Hydrol., 106 (3-4): 211-232.
17. Jang, B.K. and R.T. Chin, 1990. Analysis of thinning algorithms using mathematical morphology. IEEE. T. Pattern Anal., 12 (6): 541-550.
18. Jenson, S.K. and J.O. Domingue, 1988. Extracting topographic structures from digital elevation data for geographic information system analysis. Photogramm. Eng. Rem. S., 54 (11): 1593-1600.
19. John, C.T., W. Ping, L. Yi, W. Zhijun and E.D. Cheng, 2002. Aspects of. digital elevation model determination. Symposium on Geospatial Theory, Processing and Applications, 9-12 July 2002, Ottawa.
20. Johnston, E.G. and A. Rosenfeld, 1975. Digital detection of pits, peaks, ridges and ravines. IEEE. Trans. Syst. Man Cybernet. SMC., 5 (4): 472-480.
21. Lee, J., P.K. Snyder and P.F. Fisher, 1992. Modelling the effect of data errors on feature extraction from digital elevation models. Photogramm. Eng. Rem. S., 58 (10): 1461-1467.
22. Mackay, S.D. and L.E. Band, 1998. Extraction and representation of nested catchment areas from digital elevation models in lake-dominated topography. Water Resour. Res., 34 (4): 897-901.
23. Mark, D.M., 1983. Automated detection of drainage networks from digital elevation models. Proceedings, 6th International Symposium on Automated Cartography (Auto-Carto VI), 2: 288-295.
24. Mark, D.M., 1984. Automatic detection of drainage networks from digital elevation models. Cartographica, 21 (2-3): 168-178.
25. Marks, D., J. Dozier and J. Frew, 1984. Automated basin delineation from digital elevation data. Geo-Processing, 2 (4): 299-311.
26. Martz, L.W. and J. Garbrecht, 1998. The treatment of flat areas and depressions in automated drainage analysis of raster digital elevation models. Hydrol. Process., 12 (6): 843-855.
27. Matheron, G., 1975. Random Sets and Integral Geometry. Wiley, New York.
28. Meisels, A., S. Raizman and A. Karnieh, 1995. Skeletonizing a DEM into a drainage network. Comput. Geosci., 21 (1): 187-196.
29. Miliaresis, G.C. and D.P. Argialas, 2002. Quantitative representation of mountain objects extracted from the Global Digital Elevation Model (GTOPO30). Int. J. Remote Sens., 23 (5): 949-964.
30. Monkhouse, F.J., 1965. Principles of Physical Geography. University of London Press Ltd., New York.
31. Moore, I.D., R.B. Grayson and A.R. Ladson, 1991. Digital terrain modelling: A review of hydrological, geomorphological and biological applications. Hydrol. Process., 5 (1): 3-30.
32. O'Callaghan, J.F. and D.M. Mark, 1984. The extraction of drainage networks from digital elevation models. Comput. Vision Graph, 28 (3): 323-344.
33. Peucker, T.K. and D.H. Douglas, 1975). Detection of surface specific points by local parallel processing of discrete terrain elevation data. Comput. Graphics Image Process., 4: 375-387.
34. Pike, R.J., 2002. A bibliography of terrain modelling (geomorphometry): The quantitative representation of topography-Supplement 4.0, US Geological Survey Open-File Report 02-465, Reston, Virginia.
35. Pitas, I., 1993. Digital Image, Processing Algorithms. Prentice Hall, London.
36. Rodriguez-Iturbe, I. and A. Rinaldo, 1997. Fractal River Basins: Chance and Self-Organization Cambridge University Press, New York.
37. Saunders, W. and D. Maidment, 1995. Grid-based watershed and stream network delineation for San Antonio-Nueces coastal basin. Texas Water San Antonio, Texas.
38. Seemuller, W.W., 1989. The extraction of ordered vector drainage networks from elevation data. Comput. Graphics Image Process., 47 (1): 45-48.
39. Serra, J., 1982. Image Analysis and Mathematical Morphology. Academic Press, London.
40. Soille, P. and M.M. Ansoult, 1990. Automated basin delineation from digital elevation models using mathematical morphology. Signal Process., 20 (2): 171-182.
41. Soille, P. and C. Gratin, 1994. An efficient algorithm for drainage network extraction on DEMs. J. Vis. Commun. Image R., 5 (2): 181-189.
42. Soille, P., 2003. Morphological Image Analysis: Principles and Applications. Springer Verlag, Berlin.
43. Soille, P., J. Vogt and R. Colombo, 2003. Carving and adaptive drainage enforcement of grid digital elevation models. Water Resour. Res., 39 (12): 1366.
44. Subramanya, K., 2006. Engineering Hydrology. Tata McGraw-Hill, New Delhi.
45. Tate, J.T., C. Brusdon, M. Charlton, A.S. Fotheringham and C.H. Jarvis, 2005. Smoothing/filtering. LiDAR digital surface models: Experiments with loess regression and discrete wavelets. J. Geogr. Syst, 7 (3-4): 273-290.
46. Torikawa, J.. and T. Fukumara, 1978. Extraction of structural information from grey pictures. Comput. Graphics Image Process., 7: 30-51.
47. Tribe, A., 1992. Automated recognition of valley lines and drainage networks from digital grid elevation models: A review and a new method. J. Hydrol., 139 (1-4): 263-293.
48. Turcotte, R., J.P. Fortin, A.N. Rousseau, S. Massicotte and J.P. Villeneuve, 2001. Determination of the drainage structure of a watershed using a digital elevation model and a digital river and lake network. J. Hydrol., 240 (3-4): 225-242.
49. Vincent, L. and P. Soille, 1991. Watersheds in digital spaces: An efficient algorithm based on immersion simulations. IEEE. T. Pattern Anal., 13 (6): 583-598.
50. Vincent, L., 1993. Morphological reconstruction in image analysis: Applications and efficient algorithms. IEEE. T. Image Process., 2 (2): 176-201.
51. Wang, P., 1998. Applying two dimensional Kalman Filtering on digital elevation models. Photogramm. Eng. Rem. S., 32 (4): 649-656.
52. Wichel, G.J., S.K. Jenson, J.V. Baglio and J.O. Domingue, 1992. Application of digital elevation models to delineate drainage area and compute hydrologic characteristics for sites in the James River Basin, North Dakota. United States Geological Survey (USCGS). Water Supply Paper 2383.