Spatio-Temporal Analysis of Ground Movement Using Unmanned Aerial Vehicle Photogrammetry in Gampong Lamkleng, Aceh Besar

Nabila Amalia, Syamsidik Syamsidik, Nazli Ismail

Abstract

Ground movement is one of the most frequent disasters causing major damages in Indonesia. Unmanned Aerial Vehicle (UAV) has been widely used as a rapid observation method to obtain detailed characterization of ground movement. Often, active landslide area is difficult to access. This hinders close monitoring and observations of the ground movement. This study aims to demonstrate the use of UAV as tools for monitoring and observations on active ground movement area and to validate the results. For this purpose, the study was conducted at Gampong Lamkleng, Aceh Besar-Indonesia using spatio-temporal analysis by UAV photogrammetry. The UAV was chosen because it is easy to use, practical, and safe for landslide area that are relatively small and difficult to reach. Aerial photographs were processed using the Agisoft Metashape software in modeling and analyzed using Quantum GIS (QGIS) and ArcGis. The observation results show that the largest ground movement occurred in January 20 to 23, 2021 which was related to precipitation rates measured at a nearby rainfall station. The movement volume was 1,411.063 m3 and a rate of ground movement reaching 0.69 m/day due to heavy rain. The estimated value of losses is IDR 1,055,854,000. The UAV images analysis were compared to actual ground elevation measured using Real-Time Kinematic (RTK). The validation show that the accuracy based on comparison between photogrammetric and RTK measurement was at agreeable rate (99%). Otherwise, the accuracy performed on 19 check point using Root Mean Square Error analysis found that the accuracy was still very low. The low RMSE value is due to the georeferencing process using the Ground Control Point not being carried out.

 Keywords

Ground Movement; Spatio-Temporal; UAV; Photogrammetry; Loss.

 Full Text:

PDF

References

Abdurrasyid Afif, H., Saraswati, R., & Hernina, R. (2019). UAV Application for Landslide Mapping in Kuningan Regency, West Java. International Conference on Energy, Environment, Epidemiology and Information System. https://doi.org/10.1051/e3sconf/201

Agisoft. (2020). Agisoft Metashape User Manual - Standard Edition, Version 1.6 (1.6). Agisoft LLC.

Alkevli, T., & Ercanoglu, M. (2011). Assessment of ASTER satellite images in landslide inventory mapping: Yenice-Gökçebey (Western Black Sea Region, Turkey). Bulletin of Engineering Geology and the Environment, 70(4), 607–617. https://doi.org/10.1007/s10064-011-0353-z

Amri, U., Azizah, C., Ernawita, Robo, S., Nuraida, Ismy, R., & Sastriawan, H. (2023). Lake Cliff Landslide Mitigation – A Case Study of Lut Tawar Peusangan Lake, Aceh, Indonesia. Journal of Ecological Engineering, 24(2), 165–172. https://doi.org/10.12911/22998993/156699

ASPRS. (2015). ASPRS Positional Accuracy Standards for Digital Geospatial Data. Photogrammetric Engineering & Remote Sensing, 81(3), 1–26. https://doi.org/10.14358/PERS.81.3.A1-A26

BIG. (2020). Peraturan Badan Informasi Geospasial No 1 Tahun 2020 Tentang Standar Pengumpulan Data Geospasial Dasar Untuk Pembuatan Peta Dasar Skala Besar. https://jdih.big.go.id/id/produk-hukum/38183768

BNPB. (2011). Perka BNPB Nomor 15 Tahun 2011 tentang Pendoman Pengkajian Kebutuhan Pasca Bencana. https://bnpb.go.id/produk-hukum/peraturan-kepala-bnpb

BNPB. (2021). Geoportal Data Bencana Indonesia. https://gis.bnpb.go.id/

ESDM. (2021, January 13). Gerakan Tanah di Gampong Lamkleng, Kuta Cot Glie Tergolong Aktif, Warga dianjurkan Cari Tempat Aman.

Giordan, D., Adams, M. S., Aicardi, I., Alicandro, M., Allasia, P., Baldo, M., De Berardinis, P., Dominici, D., Godone, D., Hobbs, P., Lechner, V., Niedzielski, T., Piras, M., Rotilio, M., Salvini, R., Segor, V., Sotier, B., & Troilo, F. (2020). The use of unmanned aerial vehicles (UAVs) for engineering geology applications. Bulletin of Engineering Geology and the Environment, 79(7). https://doi.org/10.1007/s10064-020-01766-2

Guzzetti, F., Gariano, S. L., Peruccacci, S., Brunetti, M. T., & Melillo, M. (2022). Chapter 15 - Rainfall and landslide initiation. In R. Morbidelli (Ed.), Rainfall (pp. 427–450). Elsevier. https://doi.org/https://doi.org/10.1016/B978-0-12-822544-8.00012-3

Haryadi, D., Mawardi, M., & Razali, M. R. (2019). Analisis Lereng Terasering dalam Upaya Penanggulangan Longsor Metode Fellenius dengan Program Geostudio Slope. Inersia, Jurnal Teknik Sipil, 10(2), 53–60. https://doi.org/10.33369/ijts.10.2.53-60

Hidayat, R., & Zahro, A. A. (2018). Prosiding Seminar Nasional Geografi UMS IX 2018 IDENTIFIKASI CURAH HUJAN PEMICU LONGSOR DI DAERAH ALIRAN SUNGAI (DAS) SERAYU HULU-BANJARNEGARA. Restorasi Sungai: Tantangan Dan Solusi Pembangunan Berkelanjutan, 41–50.

inaSAFE. (2018). Modul5: Menghitung Kerusakan dan Kerugian. http://docs.inasafe.org/id/training/old-training/intermediate/qgis-inasafe/405-calculating-damages-and-losses.html

Jones, L., & Hobbs, P. (2021). The application of terrestrial LiDAR for geohazard mapping, monitoring and modelling in the British Geological Survey. In Remote Sensing (Vol. 13, Issue 3). MDPI AG. https://doi.org/10.3390/rs13030395

Joyce. E., K., Wright. C., K., Samsonov. V., S., & Ambrosia. G., V. (2009). Remote sensing and the disaster management cycle. In Advances in Geoscience and Remote Sensing (pp. 317–346). InTech. https://doi.org/10.5772/8341

Kang, Y., Zhao, C., Zhang, Q., Lu, Z., & Li, B. (2017). remote sensing Application of InSAR Techniques to an Analysis of the Guanling Landslide. https://doi.org/10.3390/rs9101046

Kumar, M. S., Kumar, M. S., & Kumar, R. (2022). Factors Affecting Slope Stability of an Opencast Mine: A Brief Study Advanced Slope Monitoring System in Open Cast Coal Mines Using Internet of Things (IOT) View project Factors Affecting Slope Stability of an Opencast Mine: A Brief Study. In International Journal of Innovative Science and Research Technology (Vol. 7, Issue 4). www.ijisrt.com878

Kyriou, A., Nikolakopoulos, K., Koukouvelas, I., & Lampropoulou, P. (2021). Repeated uav campaigns, gnss measurements, gis, and petrographic analyses for landslide mapping and monitoring. Minerals, 11(3), 1–26. https://doi.org/10.3390/min11030300

Mancini, F., Dubbini, M., Gattelli, M., Stecchi, F., Fabbri, S., & Gabbianelli, G. (2013). Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: The structure from motion approach on coastal environments. Remote Sensing, 5(12), 6880–6898. https://doi.org/10.3390/rs5126880

Martínez-Carricondo, P., Agüera-Vega, F., Carvajal-Ramírez, F., Mesas-Carrascosa, F. J., García-Ferrer, A., & Pérez-Porras, F. J. (2018). Assessment of UAV-photogrammetric mapping accuracy based on variation of ground control points. International Journal of Applied Earth Observation and Geoinformation, 72, 1–10. https://doi.org/10.1016/j.jag.2018.05.015

Muda, I. (2008). Teknik Survei dan Pemetaan untuk Sekolah Menengah Kejuruan (Vol. 3). Direktorat Pembinaan Sekolah Menengah Kejuruan.

Natar, C., Sabri, L. M., & Awaluddin, M. (2020). Analisis Akurasi Model 3 Dimensi Bangunan dari Foto Secara Tegak dan Miring (Studi Kasus: Gedung Fakultas Kedokteran Universitas Diponegoro). In Jurnal Geodesi Undip Januari (Vol. 9, Issue 1).

Nugraha, R., & Putrasakti, S. (2019). Pengaruh Sebaran Data Ground Control Point (GCP) dalam Pengolahan Data Foto Udara Pada Area In-Pit Mapping Menggunakan Drone Quadcopter DJI Phantom 4 RTK Berbasis Base GPS Metode Real Time Kinematic (RTK). Temu Profesi Tahunan PERHAPI, 191–200.

Pamela, Yukni, A., Imam, S. A., & Kartiko, R. D. (2018). The selective causative factors on landslide susceptibility assessment: Case study Takengon, Aceh, Indonesia. 020089. https://doi.org/10.1063/1.5047374

Persia, M., Barca, E., Greco, R., Marzulli, M. I., & Tartarino, P. (2020). Archival aerial images georeferencing: A geostatistically-based approach for improving orthophoto accuracy with minimal number of ground control points. Remote Sensing, 12(14). https://doi.org/10.3390/rs12142232

Purnama, A. Y., Latif, D. O., Kurniawan, A. W., & Adriyati, M. (2022). Implementation of Building Information Modeling on Slope Stability and Mitigation Analysis in Aceh, Indonesia. Journal of Applied Engineering Science, 20(1), 293–299. https://doi.org/10.5937/jaes0-29558

Rau, J. Y., Jhan, J. P., Lo, C. F., & Lin, Y. S. (2011). Landslide Mapping Using Imagery Acquired by a Fixed-wing UAV.

Shi, B., & Liu, C. (2015). UAV for landslide mapping and deformation analysis. International Conference on Intelligent Earth Observing and Applications 2015, 9808, 98080P. https://doi.org/10.1117/12.2207411

Squarzoni, G., Bayer, B., Franceschini, S., & Simoni, A. (2020). Pre- and post-failure dynamics of landslides in the Northern Apennines revealed by space-borne synthetic aperture radar interferometry (InSAR). Geomorphology, 369, 107353. https://doi.org/10.1016/J.GEOMORPH.2020.107353

Sri Naryanto, H., Prawiradisastra, F., Ardiyanto, R., Hidayat, W., Teknologi Reduksi Risiko Bencana, P., Teknologi Pengembangan Sumberdaya Wilayah, P., Teknologi Pengembangan Sumberdaya Mineral, P., Pengkajian dan Penerapan, B., Geostech, G.,

Puspiptek Serpong, K., Tangerang Selatan, K., & Banten, P. (2020). Analisis Pasca Bencana Tanah Longsor 1 Januari 2020 dan Evaluasi Penataan Kawasan di Kecamatan Sukajaya, Kabupaten Bogor. In Jurnal Geografi Gea (Vol. 20, Issue 2).

Sugiyono. (2006). Statistika untuk penelitian (A. Nuryanto, Ed.). Alfabeta.

Susanti, P. D., Miardini, A., & Harjadi, B. (2021). Disaster mitigation on lands affected by landslides in Banjarnegara Regency. IOP Conference Series: Earth and Environmental Science, 916(1), 012026. https://doi.org/10.1088/1755-1315/916/1/012026

Syaifullah, A. (2014). Ilmu Ukur Tanah (Cetakan Kedua). Sekolah Tinggi Pertanahan Nasional. www.stpn.ac.id

Tahar, K. N. (2013). An Evaluation on Different Number of Ground Control Points in Unmanned Aerial Vehicle Photogrammetric Block.

USK. (2021). Prodi Teknik Geologi USK Turut Mengkaji Peristiwa Pergerakan Tanah di Aceh Besar.

Wang, G., Wang, Y., Zang, X., Zhu, J., & Wu, W. (2019). Locating and monitoring of landslides based on small baseline subset interferometric synthetic aperture radar. Journal of Applied Remote Sensing, 13(4), 044528. https://doi.org/10.1117/1.JRS.13.044528

Wolf, P. R., Dewitt, B. A., & Wilkinson, B. E. (2014). Elements of photogrammetry with application in GIS.

Yalcin, A. (2007). The effects of clay on landslides: A case study. Applied Clay Science, 38(1–2), 77–85. https://doi.org/10.1016/j.clay.2007.01.007

DOI: https://doi.org/10.24815/ijdm.v6i1.31770

Refbacks

  • There are currently no refbacks.
Copyright (c) 2023 Nabila Amalia, Syamsidik, Nazli Ismail Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.