Analisis Ketelitian Vertikal Digital Terrain Model (DTM) Foto Udara Menggunakan Data Topografi (Studi Kasus: Ranu Manduro)

Assagaf, Umar Raihan (2024) Analisis Ketelitian Vertikal Digital Terrain Model (DTM) Foto Udara Menggunakan Data Topografi (Studi Kasus: Ranu Manduro). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Berkembangannya teknologi yang semakin canggih dan modern, kebutuhan data geospasial harus dapat memberikan suatu informasi mengenai posisi dan ruang dari keadaan rupa bumi yang sebenarnya. Untuk mengatasi hal tersebut dibutuhkanlah suatu cara atau teknik pemetaan yang cepat dan efisien namun tidak mengabaikan aspek ketelitiannya. Salah satunya dengan memanfaatkan teknologi fotogrametri kamera non metrik yang biasanya merupakan hasil pemotretan foto udara. Salah satu data primer yang dihasilkan dari foto udara tersebut berupa data Digital Surface Model (DSM) kemudian dibuat menjadi Digital Terrain Model (DTM) dengan menggunakan metode klasifikasi point clouds secara otomatis yang akan dilakukan perbandingan terhadap data topografi sebagai referensi untuk melihat tingkat ketelitian horizontal dan vertikal foto udara. Selanjutnya dilakukan klasifikasi terhadap Standar Nasional Indonesia (SNI) 8202:2019 dan American Society for Photogrammetry and Remote Sensing (ASPRS) tahun 2014. Hasil ketelitian ortofoto dengan Ground Control Point (GCP) dan Independent Control Point (ICP) berdasarkan ASPRS tahun 2014 masuk pada kelas 1, ketelitian horizontal ortofoto masuk pada skala 1:1000 kelas 1 dan ketelitian vertikal masuk pada interval kontur 0,2 meter. Sedangkan berdasarkan SNI 8202:2019 ketelitian horizontal ortofoto masuk pada skala 1:1000 kelas 1 dan ketelitian vertikal masuk pada interval kontur 0,4 meter kelas 1. Hasil dari ketelitian vertikal foto udara terhadap topografi memiliki RMSE sebesar 0,23026 meter serta hasil nilai LE90 sebesar 0,37990 meter dan CL95 sebesar 0,45131 meter sehingga hasil ketelitian vertikal terhadap topografi berdasarkan ASPRS tahun 2014 masuk pada interval 0.333 meter sedangkan berdasarkan SNI 8202:2019 masuk pada interval 1 meter kelas 1. Hal ini menunjukan bahwa hasil foto udara memiliki ketelitian geometri tinggi sehingga dapat untuk digunakan untuk keperluan pemetaan.
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Increasingly the development of sophisticated and modern technology, the need for geospatial data must be able to provide information regarding the position and space of the actual state of the earth's appearance. To overcome this, we need a mapping method or technique that is fast and efficient but does not ignore the aspect of accuracy. One way is by utilizing non-metric camera photogrammetry technology which is usually the result of aerial photography. One of the primary data produced from aerial photos is in the form of Digital Surface Model (DSM) data which is then made into a Digital Terrain Model (DTM) using an automatic point cloud classification method which will be compared with topographic data as a reference to see the level of horizontal accuracy and vertical aerial photography. Next, classification is carried out against the Indonesian National Standard (SNI) 8202:2019 and the American Society for Photogrammetry and Remote Sensing (ASPRS) in 2014. The results of orthophoto accuracy with Ground Control Point (GCP) and Independent Control Point (ICP) based on ASPRS in 2014 are entered in class 1, orthophoto horizontal accuracy is at a scale of 1:1000 class 1 and vertical accuracy is at a contour interval of 0.2 meters. Meanwhile, based on SNI 8202:2019, the horizontal accuracy of orthophotos is at a scale of 1:1000 class 1 and the vertical accuracy is at a contour interval of 0.4 meters class 1. The results of the vertical accuracy of aerial photos of topography have an RMSE of 0.23026 meters and the results are LE90. of 0.37990 meters and CL95 of 0.45131 meters so that the vertical accuracy results for topography based on ASPRS 2014 are at an interval of 0.333 meters while based on SNI 8202:2019 they are at an interval of 1 meter class 1. This shows that the aerial photography results have accuracy high geometry so it can be used for mapping purposes.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	ASPRS, Foto Udara, Ketelitian Horizontal, Ketelitian Vertikal, SNI, ASPRS, Aerial Photo, Horizontal Accuracy, SNI, Vertical Accuracy.
Subjects:	G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography > GA102.4.R44 Cartography--Remote sensing G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography > GA139 Digital Elevation Model (computer program)
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Umar Raihan Assagaf
Date Deposited:	01 Aug 2024 03:29
Last Modified:	12 Sep 2024 06:19
URI:	http://repository.its.ac.id/id/eprint/111518

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