Extraction of Drainage Networks in the Masamba Watershed Using NASADEM

The drainage network consists of all river channels that flow toward a reference point. It is bounded by a topographically defined distribution of drainage. The network begins with first-order streams that have no tributaries. Within a drainage network, one or more drainage patterns may be present. This study aims to extract drainage networks and identify drainage patterns in the Masamba watershed. The data used is NASADEM, analyzed through software-based spatial analysis methods. The analysis procedure includes sink filling, flow direction, and flow accumulation, as well as the eight-direction (D8) approach and Strahler’s stream ordering method. The results show that the Masamba watershed exhibits three drainage patterns: trellis, parallel, and dendritic. The trellis and parallel patterns occur mainly in the upstream part of the watershed, while the dendritic pattern dominates the middle and downstream areas. Based on these observations, the Masamba watershed can be classified as having a combined drainage pattern. In addition, stream orders were identified up to six levels, with the sixth-order stream representing the main river in the watershed. In 2020, a flash flood disaster struck the Masamba urban area, which is located in the downstream region. This indicates that drainage patterns have an influence on flooding. Information on drainage networks and patterns can serve as a guideline for governments, planners, and communities in addressing flood risks through sustainable watershed management approaches

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Publication Details

Journal
Journal of Asian Geography
Published
2025-09-28
DOI
https://doi.org/10.36777/jag2025.4.2.1
Primary Topic
Agriculture, Water, and Health
Type
article
Field-Weighted Citation Impact
0.00

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article

Extraction of Drainage Networks in the Masamba Watershed Using NASADEM

Journal of Asian Geography
Agriculture, Water, and Health
article

Extraction of Drainage Networks in the Masamba Watershed Using NASADEM

article en

Abstract

The drainage network consists of all river channels that flow toward a reference point. It is bounded by a topographically defined distribution of drainage. The network begins with first-order streams that have no tributaries. Within a drainage network, one or more drainage patterns may be present. This study aims to extract drainage networks and identify drainage patterns in the Masamba watershed. The data used is NASADEM, analyzed through software-based spatial analysis methods. The analysis procedure includes sink filling, flow direction, and flow accumulation, as well as the eight-direction (D8) approach and Strahler’s stream ordering method. The results show that the Masamba watershed exhibits three drainage patterns: trellis, parallel, and dendritic. The trellis and parallel patterns occur mainly in the upstream part of the watershed, while the dendritic pattern dominates the middle and downstream areas. Based on these observations, the Masamba watershed can be classified as having a combined drainage pattern. In addition, stream orders were identified up to six levels, with the sixth-order stream representing the main river in the watershed. In 2020, a flash flood disaster struck the Masamba urban area, which is located in the downstream region. This indicates that drainage patterns have an influence on flooding. Information on drainage networks and patterns can serve as a guideline for governments, planners, and communities in addressing flood risks through sustainable watershed management approaches

Journal of Asian GeographyVol. 4(2)
Taisho University (JP), Hospital Universiti Sains Malaysia (MY), Universitas Djuanda (ID), Universitas Bosowa (ID), Universitas Teknologi Sulawesi (ID), Nasional University (ID), Encana (Canada) (CA), Riau University (ID), Hasanuddin University (ID)
Universitas Hasanuddin
Life in Land
Openalex Percentile: Top 51%
Agriculture, Water, and Health
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Extraction of Drainage Networks in the Masamba Watershed Using NASADEM · Journal of Asian Geography (2025) | TGRS Research Map | TGRS