Volume 22, Issue 3 (Fall 2018)                   JWSS 2018, 22(3): 81-94 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mokarram M, Zarei A R, Amiri M J. Morphometric Assessment, Modeling and Waterway Extract from DEM using Sub-pixel Attraction Model. JWSS. 2018; 22 (3) :81-94
URL: http://jstnar.iut.ac.ir/article-1-3551-en.html
3. Department of Water Engineering, Faculty of Agricultural, Fasa University, Fasa, Iran. , mj_amiri@fasau.ac.ir
Abstract:   (4536 Views)
The aim of this study was to evaluate the effect of increasing DEM spatial resolution on the assessment of the morphometric characteristics of waterways, as well as analysis and modeling of it by using RS and GIS techniques. In this study, which was carried out in the south of Darab city DEM 90 m (as one of the most usable data in waterway modeling), increase spatial resolution of DEM attraction algorithm in neighboring pixels with two models including: touching and quadrant neighboring models to estimate the value of sub-pixels. After manufacturing output images for sub pixels in 2, 3 and 4 scales with different neighborhoods, the best scale with the most appropriate type of neighborhood was determined using ground control points (270 points); then, the values of RMSE were calculated for them. The results showed that with using the Attraction model, the accuracy of the output of images was improved and the spatial resolution of them was increased. Among scales with different neighborhoods, 3 scales and quadrant neighboring model exhibited the most accuracy by the lowest value of RMSE for the DEM 90 meter. Evaluation of waterways morphometric features showed that DEM extracted from attraction algorithm had more ability and accuracy in waterways extraction, Extraction of morphometric complications, and information in the study area.
Full-Text [PDF 1128 kb]   (1250 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2017/08/1 | Accepted: 2017/10/2 | Published: 2018/11/15

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb