ACM Home Page
Please provide us with feedback. Feedback
Flow computation on massive grids
Full text PdfPdf (2.11 MB)
Source Geographic Information Systems archive
Proceedings of the 9th ACM international symposium on Advances in geographic information systems table of contents
Atlanta, Georgia, USA
Session: Spatial Query Processing Algorithms table of contents
Pages: 82 - 87  
Year of Publication: 2001
ISBN:1-58113-443-6
Authors
Laura Toma  Duke University, Durham, NC
Rajiv Wickremesinghe  Duke University, Durham, NC
Lars Arge  Duke University, Durham, NC
Jeffery S. Chase  Duke University, Durham, NC
Jeffery Scott Vitter  Duke University, Durham, NC
Patrick N. Halpin  Duke University, Durham, NC
Dean Urban  Duke University, Durham, NC
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 14,   Downloads (12 Months): 51,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/512161.512180
What is a DOI?

ABSTRACT

As detailed terrain becomes available, GIS applications target larger geographic areas at finer resolutions. Processing the massive data presents significant challenges to GIS systems and demands algorithms that are optimized for both data movement and computation.In this paper we develop effcient algorithms for flow routing on massive terrains, extending our previous work on flow accumulation. Our implementations of these algorithms constitute the first comprehensive terrain flow software system designed and optimized for massive data. We compare the performance of our system, called TERRAFLOW, with that of state of the art commercial and open-source GIS systems. On large terrains, TERRAFLOW outpreforms existing systems by a factor of 2 to 1000, and is capable of solving problems of a scope and scale that are impractical with previous algorithms.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
 
3
[3] L. Arge, R. Barve, O. Procopiuc, L. Toma, D. E. Vengroff, and R. Wickremesinghe. TPIE User Manual and Reference. Duke University, 1999.
 
4
[4] L. Arge, L. Toma, and J. S. Vitter. I/O-efficient algorithms for problems on grid-based terrains. In Proc. Workshop on Algorithm Engineering and Experimentation, 2000.
 
5
 
6
[6] C. Ehlschlaeger. Using the AT search algorithm to develop hydrologic models from digital elevation data. In International Geographic Information Systems (IGIS) Symposium, pages 275-281. U.S. Army Construction Engineering Research Laboratory, 1989. Baltimore, MD, 18-19 March 1989.
 
7
[7] J. Fairfield and P. Leymarie. Drainage network from grid digital elevation model. Water Resource Research, 27:709-717, 1991.
 
8
 
9
 
10
[10] J. Garbrecht and L. Martz. The assignment of drainage directions over flat surfaces in raster digital elevation models. Journal of Hydrology, 193:204-213, 1997.
 
11
[11] S. Jenson and J. Domingue. Extracting topographic structure from digital elevation data for geographic information system analysis. Photogrammetric Engineering and Remote Sensing, 54(11):1593-1600, 1988.
 
12
 
13
[13] I. Moore, R. Grayson, and A. Ladson. Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrological Processes, 5:3-30, 1991.
 
14
[14] J. O'Callaghan and D. Mark. The extraction of drainage networks from digital elevation data. Computer Vision, Graphics and Image Processing, 28:328-344, 1984.
 
15
[15] S. Peckham. Self-similarity in the geometry and dynamics of large river basins. PhD thesis, Univ. of Colorado, Boulder, 1995.
 
16
[16] D. Tarboton. A new method for the determination of flow directions and contributing areas in grid digital elevation models. Water Resources Research, 33:309-319, 1997.
 
17
[17] D. Tarboton, R. Bras, and I. Rodriguez-Iturbe. On the extraction of channel networks from digital elevation data. Hydrological Processes, 5:81-100, 1991.
 
18
[18] A. Tribe. Automated recognition of valley lines and drainage networks from grid digital elevation models: a review and a new method. Journal of Hydrology, 139:263-293, 1992.
 
19
[19] D. Wolock and G. McCabe. Comparison of single and multiple flow direction algorithms for computing topographic parameters in topmodel. Water Resources Research, 31:1315-1324, 1995.


Collaborative Colleagues:
Laura Toma: colleagues
Rajiv Wickremesinghe: colleagues
Lars Arge: colleagues
Jeffery S. Chase: colleagues
Jeffery Scott Vitter: colleagues
Patrick N. Halpin: colleagues
Dean Urban: colleagues