Paper
29 January 2024 Quantifying surface fractures at Krakal hot spring through lineament density analysis
Author Affiliations +
Proceedings Volume 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet; 129771J (2024) https://doi.org/10.1117/12.3009494
Event: 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 2023, Yogyakarta, Indonesia
Abstract
The Krakal region in Kebumen, Central Java, is known for its distinct non-volcanic hot spring manifestation. In the absence of overt volcanic indicators, fault lineaments offer invaluable insights into the subsurface architecture that dictates the distribution and movement of geothermal resources. This research aims to evaluate lineament density by merging Digital Elevation Models (DEM) with remote sensing imagery via ArcGIS and produce Fault and Fracture Density (FFD) measurements. The analysis of lineaments was carried out based on raster image derived from ASTERGDEM 10 M, highlighting the density of lineaments. The lineament density map underscores a prominent connection between the Krakal hot springs and dominant lineaments exhibiting east-west and northwest-southeast trends. These lineaments significantly influence the outflow system of the hot springs, notably dictated by the high-lineament density region. This area of elevated lineament density is attributed to the Kedungramat sinistral fault. The study posits the utility of lineament density maps as an alternative approach for identifying geothermal surface manifestations within the study area.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Eko Puswanto, Dimas A. Wibowo, Puguh D. Raharjo, Prahara Iqbal, Ardhan Farisan, Feisal Dirgantara, and Mohammad Al Afif "Quantifying surface fractures at Krakal hot spring through lineament density analysis", Proc. SPIE 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 129771J (29 January 2024); https://doi.org/10.1117/12.3009494
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KEYWORDS
Deformation

Permeability

Java

Raster graphics

Analytical research

Image segmentation

Geographic information systems

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