Efficiency Evaluation of Multi-Scale Algorithms and Simplifying Structure of Spatial Data in Linear Features analysis (Case Study: Hydrographic Network)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HOLISAZ A.; GHADERI E.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING Year:2018 | Volume:12 | Issue:41 Page(s): 125-135

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

484

Download:

Cites:

Information Journal Paper

Title

Efficiency Evaluation of Multi-Scale Algorithms and Simplifying Structure of Spatial Data in Linear Features analysis (Case Study: Hydrographic Network)

Author(s)

HOLISAZ A. | GHADERI E. | Issue Writer Certificate

Keywords

GISQ1

Multi-ScaleQ1

DEMQ2

AlgorithmQ1

Structure simplificationQ1

Abstract

Natural phenomena could be recognized through the selection and then produce the appropriate scale. The critical subject in this way that have been less studied in Iran is identifying the Multi-Scale Algorithms and distinguish them from simplification Algorithms. In this research, operation of each Multi-Scale Algorithms at certain scales has supposed, then implementation of structural simplifying Algorithms-low pass filter and simple average-have evaluated in order to identify the flood process using three Digital Elevation Models at 1: 25000, 1: 50000, and 1: 1000000 scales in ArcMap software and HEC-HMS model. Results DEMonstrated that different approaches of map production make different results as the generalization and the best approximation of spatial data. Comparing the result of flood simulation proved sensitivity of such Algorithms with respect to scale of basic map. It has been specified that the effect of generalization Algorithms does not necessarily conform the hierarchical structure of scale of input data. Finally, we suggested to investigate the flood phenomena of Jamash watershed, we should use low pass filter and simple average Algorithms to simplify DEMs at 1: 25000 and 1: 1000000 scales but using these Algorithms at 1: 50000 scale has have not suggested.

Cites

No record.

References

No record.

Cite

APA: Copy

HOLISAZ, A., & GHADERI, E.. (2018). Efficiency Evaluation of Multi-Scale Algorithms and Simplifying Structure of Spatial Data in Linear Features analysis (Case Study: Hydrographic Network). IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, 12(41 ), 125-135. SID. https://sid.ir/paper/134712/en

Vancouver: Copy

HOLISAZ A., GHADERI E.. Efficiency Evaluation of Multi-Scale Algorithms and Simplifying Structure of Spatial Data in Linear Features analysis (Case Study: Hydrographic Network). IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING[Internet]. 2018;12(41 ):125-135. Available from: https://sid.ir/paper/134712/en

IEEE: Copy

A. HOLISAZ, and E. GHADERI, “Efficiency Evaluation of Multi-Scale Algorithms and Simplifying Structure of Spatial Data in Linear Features analysis (Case Study: Hydrographic Network),” IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, vol. 12, no. 41 , pp. 125–135, 2018, [Online]. Available: https://sid.ir/paper/134712/en

Related Journal Papers