Open Access
Issue
BIO Web Conf.
Volume 216, 2026
The 6th Sustainability and Resilience of Coastal Management (SRCM 2025)
Article Number 06007
Number of page(s) 12
Section Environmental Monitoring and Sustainability
DOI https://doi.org/10.1051/bioconf/202621606007
Published online 05 February 2026
  • M. Hämäläinen, “Smart city dvelopment with digital twin technology,” dalam 33rd Bled eConference - Enabling Technology for a Sustainable Society: June 28 - 29, 2020, Online Conference Proceedings, University of Maribor Press, 2020, hlm. 291-303. doi: 10.18690/978-961-286-362-3.20. [Google Scholar]
  • B. Bryant, A. Agha Karimi, B. Atazadeh, A. dan Rajabifard, “Modelling 3-Dimensional cadastral boundaries in a BIM environment: a case study using volumetric format plans in Queensland, Australia,” Int. J. Digit. Earth, vol. 18, no. 1, hlm. 2518578, Des 2025, doi: 10.1080/17538947.2025.2518578. [Google Scholar]
  • G. Cremen, C. Galasso, J. dan McCloskey, “A Simulation-Based Framework for Earthquake Risk-Informed and People-Centered Decision Making on Future Urban Planning,” Earths Future, vol. 10, no. 1, hlm. e2021EF002388, 2022, doi: 10.1029/2021EF002388. [Google Scholar]
  • M. Korkmaz, Y.E. Akyildiz, S. Demirkesen, S. Toprak, P. Nowak, B. dan Ciftci, “A Digital Twin Approach to Sustainable Disaster Management: Case of Cayirova,” Sustainability, vol. 17, no. 21, hlm. 9626, Jan 2025, doi: 10.3390/su17219626. [Google Scholar]
  • S. Hendriatiningsih, D. Suwardhi, J. dan Januragadi, “3D Model Based on Terrestrial Laser Scanning (TLS) Case study: The Cangkuang Temple, Garut District, West Java, Indonesia,” J. Eng. Technol. Sci., vol. 47, no. 1, hlm. 1-19, Feb 2015, doi: 10.5614/j.eng.technol.sci.2015.47.1.1. [Google Scholar]
  • Y.-C. Lin, R. Manish, D. Bullock, dan A. Habib, “Comparative Analysis of Different Mobile LiDAR Mapping Systems for Ditch Line Characterization,” Remote Sens., vol. 13, no. 13, hlm. 2485, Jan 2021, doi: 10.3390/rs13132485. [Google Scholar]
  • D. Hu dan J. Minner, “UAVs and 3D City Modeling to Aid Urban Planning and Historic Preservation: A Systematic Review,” Remote Sens., vol. 15, no. 23, hlm. 5507, Jan 2023, doi: 10.3390/rs15235507. [Google Scholar]
  • F. Pöppl, G. Mandlburger, dan N. Pfeifer, “EVALUATION OF A GNSS/IMU/LIDAR-INTEGRATION FOR AIRBORNE LASER SCANNING USING RTKLIB PPK AND PPP GNSS SOLUTIONS,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. XLVIII-1-W3-2023, hlm. 161-166, Okt 2023, doi: 10.5194/isprs-archives-XLVIII-1-W3-2023-161-2023. [Google Scholar]
  • F. Pöppl, A. Spitzer, A. Ullrich, dan N. Pfeifer, “Airborne Laser Scanning for Corridor Mapping: Georeferencing with Tightly-coupled Multi-view LiDAR,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. XLVIII-1-W4-2025, hlm. 109-114, Jun 2025, doi: 10.5194/isprs-archives-XLVIII-1-W4-2025-109-2025. [Google Scholar]
  • K. Liu, H. Ma, L. Zhang, Z. Cai, dan H. Ma, “Strip Adjustment of Airborne LiDAR Data in Urban Scenes Using Planar Features by the Minimum Hausdorff Distance,” Sensors, vol. 19, no. 23, hlm. 5131, Nov 2019, doi: 10.3390/s19235131. [Google Scholar]
  • Z. Chen, J. Li, dan B. Yang, “A Strip Adjustment Method of UAV-Borne LiDAR Point Cloud Based on DEM Features for Mountainous Area,” Sensors, vol. 21, no. 8, hlm. 2782, Jan 2021, doi: 10.3390/s21082782. [Google Scholar]
  • F. Soleimani Vostikolaei dan S. Jabari, “Large-Scale LoD2 Building Modeling using Deep Multimodal Feature Fusion,” Can. J. Remote Sens., vol. 49, no. 1, hlm. 2236243, Jul 2023, doi: 10.1080/07038992.2023.2236243. [Google Scholar]
  • R. Župan, A. Vinković, R. Nikçi, dan B. Pinjatela, “Automatic 3D Building Model Generation from Airborne LiDAR Data and OpenStreetMap Using Procedural Modeling,” Information, vol. 14, no. 7, hlm. 394, Jul 2023, doi: 10.3390/info14070394. [Google Scholar]
  • P. Big, Perka BIG No. 15 Tahun 2014, Peraturan Perundang-undangan 15, Oktober 2014. doi: http://peraturan.bpk.go.id/Details/269446/perka-big-no-15-tahun-2014. [Google Scholar]

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