Utilization of Topographic Imagery using Watershed Transformation in Watersheds Prone to Natural Disasters
Muhtar1, Hanafi2, Aditya Surya Manggala3, Suhartinah4, Irawati5, Pujo Priyono6

1Muhtar*, Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, 68121, Indonesia.
2Hanafi, Faculty of Teacher Training and Education, University of Muhammadiyah Jember, Jember, Indonesia
3Aditya Surya Manggala, Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, Indonesia.
4Suhartinah, Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, Indonesia.
5Irawati, Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, Indonesia.
6Pujo Priyono, Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, Indonesia.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 3875-3878 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9453038620/2020©BEIESP | DOI: 10.35940/ijrte.F9453.038620

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Indonesia is an archipelago that has abundant natural resources, however, problems arise in the process of utilizing natural resources, namely the emergence of natural disasters that have the potential to cause serious damage in several areas. The threat of floods and landslides in watersheds has become the main focus to be addressed as early as possible with the best solutions and planning. The use of topographic imaging in the field of remote sensing is one solution that is very useful in developing better natural disaster management systems. With the support of the use of the watershed transformation method, this study aims to obtain geographical situation data, both from the flow dimensions and slope conditions that affect the watershed discharge capacity. Thus, the risk of natural disasters can be minimized both from the level of material and non-material damage as early as possible.
Keywords: Topographic Imagery, Watershed Transformation, Watershed.
Scope of the Article: Natural Language Processing.