Abstract. The digital 3D documentation of architectural heritage using advanced 3D measurement technologies such as UAV photogrammetry and terrestrial LiDAR (TLS) becomes a potential and efficient method since it can produce 3D pointclouds in detail and high density of pointclouds levels. However, TLS is unable to scan the roof part of tall building, whereas UAV photogrammetry achieves high density of pointclouds at that area. In order to make a complete 3D pointclouds of heritage building, we merged and integrated the TLS and UAV pointclouds data by using Iterative Closest Point (ICP) algorithms into one reference system. In this study, we collected two architectural heritage building in Yogyakarta, Indonesia, i.e., "Vredeburg Fort Museum (VFM)" and "Kotagede Great Mosque (KGM)", the oldest mosque in Yogyakarta. For the data acquisition, we used Faro Focus X330 and GLS 2000 Laser Scanner. We produced three-dimensional point clouds from UAV imagery by using Structure from Motion and Multi View Stereo (SfM-MVS) technique through Photoscan software. In order to merging and integrating both of pointclouds data, Maptek I-Site Studio 6.1 with Educational License was used. Those data were successfully registered, and according to the registration report, we had observed 20.60 mm of RMS error. The 3D models and their textures in outdoor and indoor side were processed using Autodesk software. Modelling was carried out on the structure of building’s façade base on simple geometric primitive as planes, straight lines, circles, spheres and cylinder. For interactive visualization, a modern and widely accessible game engine technology (Unity3D) was used. The result was an interactive displaying 3D model of an architectural heritage building in LOD3 level with spatial function for measuring the size and dimension, as well as the area of object. Finally, we created the online version of interactive 3D viewer utilizing WebGL API and Mapbox Unity SDK.
Abstract. Developing a 3D city model is always a challenging task, whether on how to obtain the 3D data or how to present the model to users. Lidar is often used to produce real-world measurement, resulting in point clouds which further processed into a 3D model. However, this method possesses some limitation, e.g. tedious, expensive works and high technicalities, which limits its usability in a smaller area. Currently, there exists pipeline utilize point-clouds from Lidar data to automate the generation of 3D city model. For example, 3dfier (http://github.com/tudelft3d/3dfier) is a software capable of generating LoD 1 3D city model from lidar point cloud data. The resulting CityGML file could further be used in a 3D GIS viewer to produce an interactive 3D city model. This research proposed the use of Structure from Motion (SfM) method to obtain point cloud from UAV data. Using SfM to generate point clouds means cheaper and shorter production time, as well as more suitable for smaller area compared to LiDAR. 3Dfier could be utilized to produce 3D model from the point cloud. Subsequently, a game engine, i.e. Unity 3D, is utilized as the visualization platform. Previous works shows that a game engine could be used as an interactive environment for exploring virtual world based on real-world measurement and other data, such as parcel boundaries. This works shows that the process of generating 3D city model could be achieved using the proposed pipeline.
Kulonprogo Regency as a part of Daerah Istimewa Yogyakarta Province has total agriculture land area about 10.700 hectare (Dinas Pertanian dan Kehutanan, 2014). Based on Daerah Istimewa Yogyakarta Local Regulation, No. 10 of 201, Article 9, Paragraph 2, Point (d) defined that sustainable food agriculture land area in Kulonprogo Regency only 5.029 hectare. Daerah Istimewa Yogyakarta Provincial Regulation No. 10 of 2011 about Sustainable Food Agriculture Land Protection mentioned that its necessary to maintain the activities of food security and sovereign, also prevent the farmland conversion to nonagricultural. The purpose of this society service is to make geospatial information system about agriculture land in a small part of agriculture area in Sukoreno Village, Sentolo Subdistrict, Kulonprogo Regency. In this society service, wide area mapping is about 10 hectare. The method that used for data record is aerial photo by Unmanned Aerial Vehicle (UAV). This method expected to be able to photograph whole agriculture area in Kulonprogo Regency quickly. The results of this society service are geospatial information system and agriculture land map that can used by Kulonprogo Regency Government to support sustainable food agriculture land protection activity.
Kotagede is one of sub-districts in the Special Region of Yogyakarta which has several potentials especially in the cultural tourism industry. Long time ago, it was being the capital of Mataram Islam Kingdom. As a center of The Kingdom, Kotagede becomes one of the most important historical tourist spots in Yogyakarta. It is also a heritage city with great potentials to support the prosperity of its residents. The cultural site in Kotagede could be presented in the form of web based Geographical Information System (GIS) related to the spatial aspects, also by combining with 360° photosphere as its dynamic visualization. This WebGIS was made by integrating Google Camera, ArcGIS Online, ArcGIS Desktop, Pannellum website, and Cloudinary website. Usability testing was conducted with the System Usability Scale (SUS) as the testing instrument. Cultural site information in the WebGIS can be displayed in the form of an online map included widgets and other various functions in order to make it easier to be explored.
ABSTRAK Field Research Center (FRC) merupakan bagian dari program Teaching Industry Sekolah Vokasi Universitas Gadjah Mada. FRC dibangun bertujuan untuk mengembangkan hasil penelitian dan pengabdian agar menjadi sebuah produk yang dapat dimanfaatkan oleh masyarakat serta mendekatkan mahasiswa pada obyek materi pembelajaran agar menjadi lulusan yang siap bekerja. Rencana FRC akan dibangun di atas tanah seluas 6,5 hektar di Kelurahan Wates, Kabupaten Kulon Progo. Disekitar lokasi pembangunan FRC, terdiri atas kawasan penyangga seluas 29 hektar. Kawasan penyangganya terdiri atas berbagai berbagai sarana dan prasarana, seperti sarana pendidikan, kesehatan, pertahanan dan keamanan, jalan, sungai, rel kereta api, dan lain sebagainya. Penelitian ini bertujuan untuk menyajikan informasi geospasial sarana dan prasarana yang berada disekitar lokasi FRC. Data yang digunakan dalam penelitian ini terdiri atas data citra foto udara dan hasil dijitasi. Data citra foto udara diambil dengan menggunakan wahana pesawat tanpa awak (UAV) dengan tinggi terbang 270 meter dan ketelitian 0,775 pix. Data vektor yang dihasilkan dari proses dijitasi on-screen terdiri atas unsur geospasial bangunan (geometri poligon dan titik), jalan (geometri poligon), sungai (geometri poligon), drainase (geometri garis), rel kereta api (geometri garis), dan batas administrasi kelurahan (geometri garis). Masing-masing unsur geospasial disertai dengan data atribut yang diperoleh dari hasil survei lapangan. Sistem informasi geospasial sarana dan prasarana disajikan dalam skala 1:15.000. Sistem informasi geospasial ini diharapkan dapat membantu Kelurahan Wates dalam mengembangkan sarana prasarana yang terdapat pada sekitar lokasi FRC. Kata Kunci: Field Research Center, sistem informasi geospasial, sarana prasarana, peta skala besarABSTRACT Field Research Center (FRC) is part of Teaching Industry program of Vocational School. FRC was build to develop research and service result into products. The products utilized by the community and bring students closer to learning material objects in order to become graduates who are ready to work. FRC will be build on 6.5 hectares of land in Kelurahan Wates, Kulon Progo Regency. Around the location of the FRC construction consists of a 29 hectare supporting area. The supporting area consists of various facilities and infrastructure, such as education, health, defense and security facilities, roads, rivers, railroads, and so on. This study aims to present geospatial information for infrastructure around the FRC location. The data used in this study consisted of aerial photo image data and results of digitization. Aerial photo image data taken using a drone vehicle (UAV) with a height of 270 meters and accuracy of 0.775 pix. Vector data generated from digitizing on-screen process. These are consists of six geospatial elements, such as building (polygon geometry and dots), roads (polygon geometry), rivers (polygon geometry), drainage (line geometry), railroad tracks (line geometry), and boundaries village administration (line geometry). Each geospatial element accompanied by attribute data that obtained from field surveys. Geospatial information about infrastructure presented on big scale of 1: 15,000. This geospatial information expected to help Kelurahan Wates developing infrastructure around the FRC location. Keywords: Field Research Center, geospatial information system, infrastructures, big scale map
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