Analisis Perbandingan DTM (Digital Terrain Model) Dari Lidar (Light Detection And Ranging) Dan Uav (Unmanned Aerial Vehicle)-Fotogrametri Dalam Pembuatan Kontur Peta Rupa Bumi Indonesia (Studi Kasus: Penajam, Kalimantan Timur)

Sudarsono, Prabu Al Kautsar (2023) Analisis Perbandingan DTM (Digital Terrain Model) Dari Lidar (Light Detection And Ranging) Dan Uav (Unmanned Aerial Vehicle)-Fotogrametri Dalam Pembuatan Kontur Peta Rupa Bumi Indonesia (Studi Kasus: Penajam, Kalimantan Timur). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Data ketinggian Digital Elevation Model (DEM) terdiri atas Digital Surface Model (DSM) dan Digital Terrain Model (DTM). DSM adalah informasi yang menggambarkan model permukaan bumi beserta seluruh objek yang berada di atasnya. Sedangkan DTM menggambarkan model permukaan bumi tanpa objek yang berada di atasnya di wilayah darat. DTM dibentuk dari kelas ground dan dilakukan hydro-flattening yaitu dengan meratakan area permukaan air. dengan kata lain, DTM merupakan kumpulan titik data sampel yang terus mewakili distribusi spasial dari berbagai jenis informasi di medan. Contoh sumber data yang dapat dugunakan dalam pembuatan DTM adalah data UAV-fotogrametri dan LiDAR. DTM kemudian dapat digunakan dalam pembuatan kontur peta. Data yang digunakan dalam penelitian ini yaitu data LiDAR dan UAV-fotogrametri. Pengolahan kedua data tersebut menggunakan beberapa metode yaitu metode Image Matching, Structure from Motion (SfM) dan Slope Based Filtering (SBF). Setelah dilakukan proses pengolahan data pada data LiDAR dan UAV-fotogrametri, kemudian didapatkan hasil berupa kontur. Dimana Kemudian setelah terbentuk kontur dari masing-masing data, dilakukan pengujian ketelitian berdasarkan PERKA BIG No. 6 Tahun 2018 dan PERKA BIG No. 1 Tahun 2020. Hasil dari penelitian ini yaitu uji LE90 pengolahan data LiDAR sebesar 0,523 m dan foto udara sebesar 1,248 m. Berdasarkan Perka BIG No. 6 Tahun 2018 dan PERKA BIG No. 1 Tahun 2020 pada ketelitian peta skala 1:5000, hasil pengolahan data LiDAR masuk ke dalam klasifikasi kelas 1 dan foto udara masuk kelas 2. Berdasarkan hasil kontur yang dihasilkan, Kontur hasil dari UAV-fotogrametri memiliki kerapatan yang lebih bila dibandingkan dengan hasil dari LiDAR. Hal ini dikarenakan pada hasil dari UAV-fotogrametri memiliki banyak noise bila dibandingkan dengan data LiDAR. Hal tersebut dapat kita ketahui dari nilai ketelitian geometriknya.
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The Digital Elevation Model (DEM) elevation data consists of a Digital Surface Model (DSM) and a Digital Terrain Model (DTM). DSM is information that describes a model of the earth's surface and all the objects that are on it. Meanwhile, DTM describes a model of the earth's surface without objects on it in the land area. DTM is formed from ground class and hydro-flattening is carried out by leveling the surface area of the water. in other words, a DTM is a collection of sample data points that continuously represent the spatial distribution of various types of information in the terrain. Examples of data sources that can be used in making DTM are UAV-photogrammetry and LiDAR data. DTM can then be used in creating contour maps. The data used in this study are LiDAR and UAV-photogrammetry data. The processing of the two data uses several methods, namely the Image Matching, Structure from Motion (SfM) and Slope Based Filtering (SBF) methods. After processing the data on LiDAR and UAV-photogrammetry data, the results are obtained in the form of contours. Where Then after the contours of each data are formed, accuracy testing is carried out based on PERKA BIG No. 6 of 2018 and PERKA BIG No. 1 of 2020. The results of this study are the LE90 test for processing LiDAR data of 0.523 m and aerial photographs of 1.248 m. Based on BIG Regulation No. 6 of 2018 and PERKA BIG No. 1 of 2020 at a map accuracy of 1:5000 scale, the results of LiDAR data processing are included in class 1 classification and aerial photos are included in class 2. Based on the resulting contour results, the contour results from UAV-photogrammetry have more density when compared to the results from LiDAR . This is because the results of the UAV-photogrammetry have a lot of noise when compared to LiDAR data. We can know this from the geometric accuracy value

Item Type: Thesis (Masters)
Additional Information: RSG 621.367 Sud a-1 2023
Uncontrolled Keywords: LiDAR, UAV-Fotogrametri, Digital Terrain Model, Kontur, Peta RBI
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > G109.5 Global Positioning System
G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems.
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: Prabu Al Kautsar Sudarsono
Date Deposited: 07 Dec 2023 02:25
Last Modified: 19 Dec 2023 07:49
URI: http://repository.its.ac.id/id/eprint/102564

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