APPLICATION INTEGRATION METHODS ON LANDSAT ETM + TO DETERMINE EARTHQUAKE POTENTIALS IN PALU GRABEN
M. Rusydi H(1*), Hartono Hartono(2), M. Pramono Hadi(3), Sunarto Sunarto(4)
(1) Faculty of Matematics and Natural Science, Tadulako University
(2) Faculty of Geography, Universitas Gadjah Mada
(3) Faculty of Geography, Universitas Gadjah Mada
(4) Faculty of Geography, Universitas Gadjah Mada
(*) Corresponding Author
Abstract
This study aims to assess the ability of the integration method at Landsat
ETM + imagery in recognizing object fault, main fault and secondary fault in Palu
Graben. Mapping of fault and calculate earthquake potential, based of fault that is
found in Graben of Palu. The image used in this study is Landsat ETM +.
Techniques used to process Landsat ETM + is a method of integration. Landsat
ETM+ imagery processed with ENVI software 4.4, while the mapping of faults and
determining of length using ArcGIS 9.2.The potential of earthquakes is calculated
from the length of faults found in the Graben of Palu. Results obtained showed that
the patterns of lineament as a picture of fault in the Palu Graben can be extracted
from Landsat ETM +. Lineament of fault is seen clearly on Landsat ETM + image
processed with integration method and band combination, 45PC1_8. Faults are
arranged in the form of map. There are 66 faults found at research sites.
Magnitude earthquake 5,5 SR can be produced from the fault with a length greater
than or equal to 9 km. If each faults contributes the same to earthquake
occurrence, the potential incidence of earthquake with magnitude greater than or
equal to 5.5 SR in the Graben of Palu is 33.8%, while the magnitude is smaller
than 5.5 SR is 66.2%. The largest magnitude that can occur in Palu Graben, 7.1
SR. These results indicate that the potential earthquake destructive (≥ 5.5 SR) of
approximately 33.8%.
Keywords
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PDFDOI: https://doi.org/10.22146/ijg.1579
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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)
ISSN 2354-9114 (online), ISSN 0024-9521 (print)
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