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All Journal Indonesian Journal of Geography
Hartono Hartono
Faculty of Geography, Universitas Gadjah Mada
Earth & Planetary Sciences

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APPLICATION INTEGRATION METHODS ON LANDSAT ETM + TO DETERMINE EARTHQUAKE POTENTIALS IN PALU GRABEN M. Rusydi H; Hartono Hartono; M. Pramono Hadi; Sunarto Sunarto
Indonesian Journal of Geography Vol 42, No 1 (2010): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.1579

Abstract

This study aims to assess the ability of the integration method at LandsatETM + imagery in recognizing object fault, main fault and secondary fault in PaluGraben. Mapping of fault and calculate earthquake potential, based of fault that isfound in Graben of Palu. The image used in this study is Landsat ETM +.Techniques used to process Landsat ETM + is a method of integration. LandsatETM+ imagery processed with ENVI software 4.4, while the mapping of faults anddetermining of length using ArcGIS 9.2.The potential of earthquakes is calculatedfrom the length of faults found in the Graben of Palu. Results obtained showed thatthe patterns of lineament as a picture of fault in the Palu Graben can be extractedfrom Landsat ETM +. Lineament of fault is seen clearly on Landsat ETM + imageprocessed with integration method and band combination, 45PC1_8. Faults arearranged 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 greaterthan or equal to 9 km. If each faults contributes the same to earthquakeoccurrence, the potential incidence of earthquake with magnitude greater than orequal to 5.5 SR in the Graben of Palu is 33.8%, while the magnitude is smallerthan 5.5 SR is 66.2%. The largest magnitude that can occur in Palu Graben, 7.1SR. These results indicate that the potential earthquake destructive (≥ 5.5 SR) ofapproximately 33.8%.
Comparison of Various Spectral Indices for Optimum Extraction of Tropical Wetlands Using Landsat 8 OLI Syamani D. Ali; Hartono Hartono; Projo Danoedoro
Indonesian Journal of Geography Vol 53, No 2 (2021): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.49914

Abstract

This research specifically aims to investigate the most accurate spectral indices in extracting wetlands geospatial information taking South Kalimantan, Indonesia, as an example of wetlands in tropical areas. Ten spectral indices were selected for testing their ability to extract wetlands, those are NDVI, NDWI, MNDWI, MNDWIs2, NDMI, WRI, NDPI, TCWT, AWEInsh, andAWEIsh. Tests were performed on Landsat 8 OLI path/row 117/062 and 117/063. The threshold method which was used to separate the wetland features from the spectral indices imagery is Otsu method. The results of this research showed that generally MNDWIs2 was the most optimal spectral indices in wetlands extraction. Especially tropical wetlands that rich with green vegetation cover. However, MNDWIs2 is very sensitive to dense vegetation, this feature has the potential to be detected as wetlands. Furthermore, to improve the accuracy and prevent detection of the dryland vegetation as wetlands, the threshold value should be determined carefully.
Co-Authors M. Pramono Hadi M. Rusydi H Projo Danoedoro Sunarto Sunarto Syamani D. Ali