Morphometric Assessment, Modeling and Waterway Extract from DEM using Sub-pixel Attraction Model
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 (a...
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| Format: | Article |
| Language: | fas |
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Isfahan University of Technology
2018-11-01
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| Series: | علوم آب و خاک |
| Subjects: | |
| Online Access: | http://jstnar.iut.ac.ir/article-1-3551-en.html |
| _version_ | 1818896792426643456 |
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| author | M. Mokarram A. R. Zarei Mohammad Javad Amiri |
| author_facet | M. Mokarram A. R. Zarei Mohammad Javad Amiri |
| author_sort | M. Mokarram |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T19:05:55Z |
| format | Article |
| id | doaj.art-038f2bdf9e274b0495a7c3d995f7c3d4 |
| institution | Directory Open Access Journal |
| issn | 2476-3594 2476-5554 |
| language | fas |
| last_indexed | 2024-12-19T19:05:55Z |
| publishDate | 2018-11-01 |
| publisher | Isfahan University of Technology |
| record_format | Article |
| series | علوم آب و خاک |
| spelling | doaj.art-038f2bdf9e274b0495a7c3d995f7c3d42022-12-21T20:09:26ZfasIsfahan University of Technologyعلوم آب و خاک2476-35942476-55542018-11-012238194Morphometric Assessment, Modeling and Waterway Extract from DEM using Sub-pixel Attraction ModelM. Mokarram0A. R. Zarei1Mohammad Javad Amiri2 1. Department of Range and Watershed Management, College of Agriculture and Natural Resources of Darab, Shiraz University, Iran. 2. Department of Rang and Watershed Management (Nature Engineering), Faculty of Agricultural Science, Fasa University, Fasa, Iran. 3. Department of Water Engineering, Faculty of Agricultural, Fasa University, Fasa, Iran. 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.http://jstnar.iut.ac.ir/article-1-3551-en.htmlwaterway morphometricwaterway modelinggisattraction algorithmsub-pixeldem |
| spellingShingle | M. Mokarram A. R. Zarei Mohammad Javad Amiri Morphometric Assessment, Modeling and Waterway Extract from DEM using Sub-pixel Attraction Model علوم آب و خاک waterway morphometric waterway modeling gis attraction algorithm sub-pixel dem |
| title | Morphometric Assessment, Modeling and Waterway Extract from DEM using Sub-pixel Attraction Model |
| title_full | Morphometric Assessment, Modeling and Waterway Extract from DEM using Sub-pixel Attraction Model |
| title_fullStr | Morphometric Assessment, Modeling and Waterway Extract from DEM using Sub-pixel Attraction Model |
| title_full_unstemmed | Morphometric Assessment, Modeling and Waterway Extract from DEM using Sub-pixel Attraction Model |
| title_short | Morphometric Assessment, Modeling and Waterway Extract from DEM using Sub-pixel Attraction Model |
| title_sort | morphometric assessment modeling and waterway extract from dem using sub pixel attraction model |
| topic | waterway morphometric waterway modeling gis attraction algorithm sub-pixel dem |
| url | http://jstnar.iut.ac.ir/article-1-3551-en.html |
| work_keys_str_mv | AT mmokarram morphometricassessmentmodelingandwaterwayextractfromdemusingsubpixelattractionmodel AT arzarei morphometricassessmentmodelingandwaterwayextractfromdemusingsubpixelattractionmodel AT mohammadjavadamiri morphometricassessmentmodelingandwaterwayextractfromdemusingsubpixelattractionmodel |