SLOPE OBSERVATION OF THE PADANG SOLOK ROAD AREA BASED ON RADAR DATA
DOI:
https://doi.org/10.57265/georest.v2i1.21Keywords:
Slope, Landslide, Padang-Solok, Satellite Radar SARAbstract
The Padang Solok route topographically has a geological structure that is prone to steep slopes, so it has a high level of disaster risk, one of which is shifting soil and causing landslides. Slope is one of the factors that cause landslides, the purpose of this study is to determine the slope that is prone to landslides. However, slope information needs to be known the slope, and we can know the percentage and degree by mapping using satellite radar SAR (Syntetic Aperture Radar) technology, which is an effective choice for detecting the earth's surface in the Padang-Solok area with SRTM data taken in the area. Processed by observing the slope of the area and then analyzing the landslide area. SAR radar satellite technology allows monitoring of landslide-prone areas with high accuracy, and wide area coverage, operating day and night. This slope is a comparison of height in the form of the vertical distance of a land with its horizontal distance. The amount of slope can be expressed in several units, including percent and degree. Spatial information on slope describes the condition of the land surface, such as a flat, gentle, or steep slope. The Padang-Solok route includes steep slope areas with the highest slope of 7,9 to 40,8 and in percentage 13,80% to 90,10%, classified as steep and steep slope. Areas with steep slopes have a greater potential for landslides than those with moderate slopes, in addition to increasing the amount of surface flow. So the steeper the slope, the greater the velocity of surface flow, and thus the greater the water transport energy.
References
R. Amukti, D. Mildan, I. A. Dinata, and N. F. Isniarno, "Identification of Landslide Vulnerability of Pangalengan Area by Slope Morphology Method," JPSE (Journal Phys. Sci. Eng.), vol. 2, no. 1, pp. 1-6, 2017, doi: 10.17977/um024v2i12017p001..
N. Suryani and D. Fitriawan, "Land Use Development Area Direction for," vol. 4, no. 1, pp. 1-11, 2022..
P. Razi, J. T. S. Sumantyo, D. Perissin, and Y. Yulkifli, “Potential Landslide Detection in Kelok Sembilan Flyover Using SAR Interferometry,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 11, no. 2, pp. 720–728, 2021, doi: 10.18517/ijaseit.11.2.13767.
S. A. Radar, “Synthetic aperture radar technology ( SAR ),” 2015.
P. House, D. I. Daerah, and D. Tinggi, "Utilization of remote sensing technology using q-gis application to determine a slope in the construction of houses in highland areas," no. November, 2019..
M. R. Pahleviannur, "Utilization of Geospatial Information Through Remote Sensing Digital Image Interpretation for Monitoring Land Use Change," JPIG (Journal of Educ. and Geogr. Science, vol. 4, no. 2, pp. 18-26, 2019, doi: 10.21067/jpig.v4i2.3267..
A. Anwar, "Mapping of Landslide Prone Areas in Agricultural Land of West Sinjai District, Sinjai Regency," Thesis. Faculty. Pertan. Univ. Hasanuddin Makassar, pp. 1-89, 2012, [Online]. Available: https://core.ac.uk/download/pdf/25488307.pdf
P. Razi, J. T. Sri Sumantyo, J. Widodo, Y. Izumi, and D. Perissin, “Land deformation monitoring using D-insar technique during Lombok earthquake observed by sentinel-1A/B,” Int. J. GEOMATE, vol. 19, no. 73, pp. 257–262, 2020, doi: 10.21660/2020.73.37542.
A. Darmawan, S. P. Harianto, T. Santoso, and G. D. Winarno, "Textbook of Remote Sensing for Forestry," Textbook of Remote Sensing for Forestry, p. 177, 2018, [Online]. Available: http://repository.lppm.unila.ac.id/7346/1/buku ajar penginder jauh.pdf
H. Sonata, "Environmental Assessment of Geometric Improvement Through the Construction of Sitinjau Laut Panorama I Overpass," Tech. Civil ITP, vol. 4, no. 1, pp. 11-20, 2017.
R. Dave, S. Siva, M. Verdonen, and L. T. Berner, "Landslide Physics Model for Disaster Mitigation in Sitinjau Laut Area of Padang City West Sumatra Landslide Physics Model for Disaster Mitigation in Sitinjau Laut Area of Padang City West Sumatra," 2020, doi: 10.1088/1742-6596/1428/1/012041..
P. Paisa, M. S. L, and A. Wahyuni, "Mapping of Landslide Prone Areas Using Satellite Imaging Method in Enrekang Regency, South Sulawesi," J. Geocelebes, vol. 5, no. 1, pp. 80-90, 2021, doi: 10.20956/geocelebes.v5i1.12503..
A. Ferretti, A. Monti-guarnieri, and P. Milano, “InSAR Principles - Guidelines for SAR Interferometry Processing and Interpretation SAR Interferometry Processing and Interpretation . ESA Publications , TM-19 . ISBN 92-9092-233-8 .,” no. January, 2007.
P. Razi et al., "3D Land Mapping and Land Deformation Monitoring Using Persistent Scatterer Interferometry (PSI) ALOS PALSAR: Validated by Geodetic GPS and UAV," vol. 6, pp. 12395-12404, 2018.
Mira, M. Lestari, C. Gudiato, S. Y. Prasetyo, and C. Fibriani, "Analysis of Potential Landslide Prone Areas in Bawen and Tuntang Districts using the Simple Additive Weighting (SAW) Method," J. Inf. Technol., vol. 1, no. 2, pp. 17-25, 2021, doi: 10.46229/jifotech.v1i2.280.
M. Ali and L. Coyoga, "Landslide Potential of Bebesen Sub-district Using Geographic Information System Towards Disaster Resilient Village," no. June, 2022.
G. P. Indrasmoro, "Geographic Information System (GIS) for Landslide Prone Area Detection Case Study in Karang Anyar Village, Gunung Semarang," J. GIS for Landslide Prone Detection, pp. 1-11, 2013.
R. Radar, "Chapter 1 Synthetic Aperture Radar (SAR) Imaging Basics," pp. 1-26.
J. J. Sousa and L. Bastos, “Multi-temporal SAR interferometry reveals acceleration of bridge sinking before collapse,” Nat. Hazards Earth Syst. Sci., vol. 13, no. 3, pp. 659–667, 2013, doi: 10.5194/nhess-13-659-2013.
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