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Bir Kaya Düşme Alanında LiDAR Sensörlü Akıllı Telefon Kullanarak Tekil Kaya Blok Hacimlerinin Belirlenmesi

Yıl 2024, , 19 - 42, 26.06.2024
https://doi.org/10.24232/jmd.1479304

Öz

Bir kaya düşmesi bölgesinde düşen blokların hacminin belirlenmesi kaya düşmesi modelleme çalışmaları için önemli bir parametredir. Bu kapsamda yoğun bir araç trafiğinin bulunduğu Ankara Zir Vadisi yamaçlarından düşen 30 adet andezit bloğun hem şerit metre ile boyutları ölçülmüş, hem de lazer tarama özelliği bulunan bir akıllı telefon aracılığıyla fotogrametrik üç boyutlu (3B) modeli oluşturulmuştur. Böylece hem geleneksel, hem de fotogrametrik yöntemle toplanan veriler yardımıyla düşen blokların hacim hesapları gerçekleştirilmiş ve bu iki farklı yöntemle yapılan hesaplar karşılaştırılmıştır. Buna göre; geleneksel yöntemle belirlenen hacim değerleri ile fotogrametrik olarak belirlenen hacimler arasında istatiksel olarak yüksek bir ilişki bulunmaktadır. Arazide şerit metre ile yapılan ölçümler zaman kaybı oluşturmakta, sonuçlar ölçümü alan kişinin hassasiyetine bağlı olarak değişebilmektedir. Ayrıca, düzensiz bir şekle sahip blokların hacmi hesaplanırken şekil düzenli bir geometriye indirgenmekte ve bir yaklaşımda bulunulmaktadır. Akıllı telefonlar ile tek bir ölçümle her bir blok ayırtlanabilmekte ve hacimleri ayrı ayrı hesaplanabilmektedir. Elde edilen bulgular, çalışmada kullanılan fotogrametrik yöntemi uygulama pratikliği açısından ön plana çıkarmaktadır.

Kaynakça

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The Determination of Individual Rock Block Volumes Using a Smartphone with LIDAR Sensor for a Rockfall Area

Yıl 2024, , 19 - 42, 26.06.2024
https://doi.org/10.24232/jmd.1479304

Öz

Determining the volume of fallen blocks in a rockfall area is a crucial parameter for rockfall modeling studies. Within this scope, the dimensions of 30 andesite blocks that had fallen from the slopes of the Ankara Zir Valley, where there is heavy vehicle traffic, were measured with a tape measure and a photogrammetric three-dimensional (3D) model was generated using a smartphone equipped with laser scanning capabilities. Hence, the fallen blocks’ volume was determined by utilizing data obtained from both conventional and photogrammetric methods, and, a comparison was subsequently made between the calculations derived from these two different approaches. There is a significant statistical correlation between the volume values obtained by the conventional method and those found using photogrammetry. Measurements conducted using tape measures in the field can be time consuming and the results may vary depending on the precision of the individual performing the measurement. Furthermore, while determining the volume of blocks that have an irregular shape, the shape is simplified to a regular geometric form and an approximation is performed. Smartphones enable the differentiation of each block through a single measurement, allowing the independent calculation of their volumes. These results emphasize the effectiveness of the photogrammetric method employed in this study.

Kaynakça

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  • An, P., Fang, K., Jiang, Q., Zhang, H., & Zhang, Y. (2021). Measurement of Rock Joint Surfaces by Using Smartphone Structure From Motion (SFM) Photogrammetry. Sensors, 21(3), 922. https:// doi.org/https://doi.org/10.3390/s21030922
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  • King, F., Kelly, R., & Fletcher, C. G. (2022). Evaluation of LiDAR-Derived Snow Depth Estimates From the iPhone 12 Pro. IEEE Geoscience and Remote Sensing Letters, 19, 1-5. https://doi.org/https:// doi.org/10.1109/LGRS.2022.3166665
  • Koulibaly, A. S., Shahbazi, A., Saeidi, A., Rouleau, A., Quirion, M., & Chesnaux, R. (2023). Advancements in rock block volume calculation by analytical method for geological engineering applications. Environmental Earth Sciences, 82(13), 344. https://doi.org/https://doi. org/10.1007/s12665-023-11027-6
  • Łabędź, P., Skabek, K., Ozimek, P., Rola, D., Ozimek, A., & Ostrowska, K. (2022). Accuracy Verification of Surface Models of Architectural Objects from the iPad LiDAR in the Context of Photogrammetry Methods. Sensors, 22(21), 8504. https://www.mdpi.com/1424- 8220/22/21/8504
  • Li, B., Wei, J., Wang, L., Ma, B., & Xu, M. (2019). A Comparative Analysis of Two Point Cloud Volume Calculation Methods. International Journal of Remote Sensing, 40(8), 3227-3246. https://doi.org/https://doi.org/10.1080/01431161.2018.1541111
  • Luetzenburg, G., Kroon, A., & Bjørk, A. A. (2021). Evaluation of the Apple iPhone 12 Pro LiDAR for an Application in Geosciences. Scientific Reports, 11(1), 22221. https://doi.org/https://doi. org/10.1038/s41598-021-01763-9
  • Mikita, T., Balková, M., Bajer, A., Cibulka, M., & Patočka, Z. (2020). Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops. Sensors, 20(6), 1663. https://doi.org/https://doi.org/10.3390/ s20061663
  • Miller, S. H., Hashemian, A., Gillihan, R., & Benes, S. (2023). Accuracy and Repeatability of Mobile Phone LiDAR Capture https://doi. org/10.4271/2023-01-0614
  • Monsalve, A., Yager, E. M., & Tonina, D. (2023). Evaluating Apple iPhone LiDAR measurements of topography and roughness elements in coarse bedded streams. Journal of Ecohydraulics, 1-11. https://doi.org/https://doi.org/10.1080/24705357.2023.2204087
  • Moyano, J., Nieto-Julián, J. E., Fernández-Alconchel, M., Oreni, D., & Estévez-Pardal, R. (2023). Analysis and Precision of Light Detection and Ranging Sensors Integrated in Mobile Phones as a Framework for Registration of Ground Control Points for Unmanned Aerial Vehicles in the Scanning Technique for Building Information Modelling in Archaeological Sites. Drones, 7(7), 477. https://www.mdpi.com/2504-446X/7/7/477
  • Nik Azhan Hakim, N., Razali, R., Said, M., Muhamad, M., Abdul Rahim, H., & Mokhtar, M. (2023). Accuracy Assessment on Detail Survey Plan Using iPhone 13 Pro Max LiDAR Sensor. International Journal of Geoinformatics, 19(5). https://doi.org/https://doi.org/10.52939/ijg. v19i5.2665
  • Paukkonen, N. (2023). Towards a Mobile 3D Documentation Solution. Video-Based Photogrammetry and iPhone 12 Pro as Fieldwork Documentation Tools. Journal of Computer Applications in Archaeology. https:// doi.org/10.5334/jcaa.135
  • Pavelka jr, K., Kuzmanov, P., Pavelka, K., & Rapuca, A. (2023). Different data joining as a basic model for hbim – a case project St. Pataleimon in Skopje. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-5/W2-2023, 85-91. https://doi.org/https://doi.org/10.5194/isprs- archives-XLVIII-5-W2-2023-85-2023
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  • Pix4D. (2024d). Pix4D Processing options. Retrieved 25 Mart from https://support.pix4d.com/hc/en- us/sections/4407352591889-Processing-options
  • Pix4D. (2024e). Volume measurement - PIX4Dsurvey. Retrieved 30 Ocak from https://support.pix4d. com/hc/en-us/articles/4405473285777-Volume- measurement-PIX4Dsurvey
  • Rasti, S., Bleakley, C. J., Silvestre, G. C. M., Holden, N. M., Langton, D., & O’Hare, G. M. P. (2021). Crop Growth Stage Estimation Prior to Canopy Closure Using Deep Learning Algorithms. Neural Computing and Applications, 33(5), 1733-1743. https://doi.org/https://doi.org/10.1007/s00521- 020-05064-6
  • Riquelme, A., Tomás, R., Cano, M., Pastor, J. L., & Jordá-Bordehore, L. (2021). Extraction of Discontinuity Sets of Rocky Slopes Using
  • Iphone-12 Derived 3DPC and Comparison to TLS and SFM Datasets. IOP Conference Series: Earth and Environmental Science, 833(1), 012056. https://doi.org/https://doi. org/10.1088/1755-1315/833/1/012056
  • Rutkowski, W., & Lipecki, T. (2023). Use of the iPhone 13 Pro LiDAR Scanner for Inspection and Measurement in the Mineshaft Sinking Process. Remote Sensing, 15(21), 5089. https:// doi.org/https://doi.org/10.3390/rs15215089
  • Sarro, R., Riquelme, A., García-Davalillo, J. C., Mateos, R. M., Tomás, R., Pastor, J. L., Cano, M., & Herrera, G. (2018). Rockfall Simulation Based on UAV Photogrammetry Data Obtained During An Emergency Declaration: Application at A Cultural Heritage Site. Remote Sensing, 10(12), 1923. https://doi.org/https://doi. org/10.3390/rs10121923
  • Scargill, T., Premsankar, G., Chen, J., & Gorlatova, M. (2022, 3-6 May 2022). Here To Stay: A Quantitative Comparison of Virtual Object Stability in Markerless Mobile AR. 2022 2nd International Workshop on Cyber-Physical- Human System Design and Implementation (CPHS)
  • Stevenson, S., & Liscio, E. (2024). Assessing iPhone LiDAR & Recon-3D for determining area of origin in bloodstain pattern analysis. Journal of Forensic Sciences, 69(3), 1045-1060. https://doi. org/https://doi.org/10.1111/1556-4029.15476
  • Suleymanoglu, B., Tamimi, R., Yilmaz, Y., Soycan, M., & Toth, C. (2023). Road Infrastructure Mapping by Using Iphone 14 Pro: An Accuracy Assessment. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 347-353. https://doi.org/https://doi.org/10.5194/ isprs-archives-XLVIII-M-1-2023-347-2023
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  • Tamimi, R., & Toth, C. (2023b). Comparison of Iphone 13 Pro’s Camera and Lidar Sensor To UAS Photogrammetric Model of The Great Pyramid of Giza. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-3-2023, 299-306. https://doi.org/https://doi.org/10.5194/isprs- archives-XLVIII-M-3-2023-299-2023
  • Tatsumi, S., Yamaguchi, K., & Furuya, N. (2023). ForestScanner: A mobile application for measuring and mapping trees with LiDAR- equipped iPhone and iPad. Methods in Ecology and Evolution, 14(7), 1603-1609. https://doi.org/ https://doi.org/10.1111/2041-210X.13900
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  • Umili, G., Bonetto, S. M. R., Mosca, P., Vagnon, F., & Ferrero, A. M. (2020). In Situ Block Size Distribution Aimed at the Choice of the Design Block for Rockfall Barriers Design: A Case Study along Gardesana Road. Geosciences, 10(6),223. https://doi.org/https://doi.org/10.3390/ geosciences10060223
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  • Wang, Y., Ding, M., Zhang, Q., Zhang, X., & Qu, Z. (2023). Volume calculation methods of irregular stone artifacts based on 3D laser scanning technology. Journal of Asian Architecture and Building Engineering, 22(6), 3386-3402. https:// doi.org/https://doi.org/10.1080/13467581.2023. 2182640
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Toplam 69 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik Jeolojisi
Bölüm Araştırma Makalesi
Yazarlar

Mehmet Doğruluk 0000-0001-6698-651X

Nurgül Gültekin 0000-0002-7007-2478

Yayımlanma Tarihi 26 Haziran 2024
Gönderilme Tarihi 6 Mayıs 2024
Kabul Tarihi 22 Mayıs 2024
Yayımlandığı Sayı Yıl 2024

Kaynak Göster

APA Doğruluk, M., & Gültekin, N. (2024). Bir Kaya Düşme Alanında LiDAR Sensörlü Akıllı Telefon Kullanarak Tekil Kaya Blok Hacimlerinin Belirlenmesi. Jeoloji Mühendisliği Dergisi, 48(1), 19-42. https://doi.org/10.24232/jmd.1479304