Paper
22 December 2021 GIS for geomorphological analysis: facies of Merapi Volcano and morphometry of Gendol River
Rydha Gusti Mayaudy, Intan Septilaar Kumaidi, Didit Setiawan, Arinda Budi Lestari, Ridho Saifulhaq, Vera Intan Rahmawati, Sandy Budi Wibowo, Nur Mohammad Farda
Author Affiliations +
Proceedings Volume 12082, Seventh Geoinformation Science Symposium 2021; 1208211 (2021) https://doi.org/10.1117/12.2619501
Event: Seventh Geoinformation Science Symposium (GSS 2021), 2021, Yogyakarta, Indonesia
Abstract
Spatial data is very important for geomorphological analysis and disaster studies related to volcanic activities in Indonesia. Merapi volcano is known worldwide for its frequent eruptions. This volcano provides a good cases for GIS research since it has unique morphology. Therefore, the aim of this study is focused on developing GIS approach for determining morphometry of Merapi volcano. The methods used in this study was focused on DEM generation from LiDAR, development of topographic cross sections, and morphometric analysis of volcanic facies. The results of this research are facies map of southern part of Merapi volcano and the morphometry map of the Gendol river. It can be seen from this result that the facies of Mount Merapi in the study area consist of central (>2000 m), proximal (1350-2000 m), medial (500-1350 m) and distal (<500 m) facies. Gendol river is divided into zone 1, zone 2, and zone 3 which are characterized by the river's upstream which generally have a v-shaped valley and narrow channel. This findings would be important for local authorities to support mitigation strategies related to Merapi eruption.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rydha Gusti Mayaudy, Intan Septilaar Kumaidi, Didit Setiawan, Arinda Budi Lestari, Ridho Saifulhaq, Vera Intan Rahmawati, Sandy Budi Wibowo, and Nur Mohammad Farda "GIS for geomorphological analysis: facies of Merapi Volcano and morphometry of Gendol River", Proc. SPIE 12082, Seventh Geoinformation Science Symposium 2021, 1208211 (22 December 2021); https://doi.org/10.1117/12.2619501
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KEYWORDS
LIDAR

Geographic information systems

Analytical research

Image processing

Clouds

Data acquisition

Data conversion

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