Identification of semi-automatic landforms using object-oriented processing, digital elevation model and satellite imagery. Case study: Dez river basin located in the western and southwestern slopes of Zagros

Document Type : مطالعه موردی

Authors

1 Graduate of Tabriz University

2 - Associate Professor and Faculty Member of GIS Department, University of Tabriz, Iran

Abstract

In this study, 5 main DEM derivatives of 12.5 m ALOS satellite (slope layer, slope direction layer, curvature layer, cumulative flow layer and altitude layer) as well as Sentinel-2 satellite images and NDVI vegetation index were used as auxiliary layers. Segmentation in this area was performed using segmentation multi resolation method. In this segmentation, the height layer was given a value of 3, the curvature layer was given a value of 2, and the other layers were given a value of 1. Then, using Layer Values ​​and Geometry algorithms and assign class commands, landforms located in the western and southwestern slopes of Zagros (Aligudarz city area) have been classified. The results showed that the use of Layer Values ​​and Geometry algorithms and assign class commands have a good ability to isolate and classify landforms, so that 8 types of landforms (slopes, ridges, water areas, precipices, peaks, ridges, lowlands and lowlands) Kappa coefficient was 0.87 and overall accuracy was 91.71%. The ridge landforms form the largest part of the region and are the dominant landforms of the region and have a good distribution in different parts, but the peak landforms with the minimum area have formed only a limited part of the study area.

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References

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History

  • Receive Date: 13 December 2021
  • Revise Date: 04 February 2022
  • Accept Date: 07 March 2022

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