A Simple Aerial Photogrammetric Mapping System Overview and Image Acquisition Using Unmanned Aerial Vehicles (UAVs)

Simple Aerial Photogrammetric Mapping System Overview and Image Acquisition

  • Wenang Anurogo Politeknik Negeri Batam
  • Muhammad Zainuddin Lubis Politeknik Negeri Batam
  • Hanah Khoirunnisa Politeknik Negeri Batam
  • Daniel Sutopo Pamungkas
  • Aditya Hanafi Politeknik Negeri Batam
  • Fajar Rizki Politeknik Negeri Batam
  • Ganda Surya Politeknik Negeri Batam
  • Arini Dewi Lestari Situmorang Politeknik Negeri Batam
  • Dirgan Timbang Politeknik Negeri Batam
  • Perdi Novanto Sihombing Politeknik Negeri Batam
  • Catur Agus Lukitasari Universitas Ahmad Dahlan
  • Novita Ayu Dewanti Universitas Negeri Yogyakarta
DOI: https://doi.org/10.30871/jagi.v1i01.360
Keywords: Aerial Photogrammetric, UAVs, High Resolution Image, Spatial Data

Abstract

Aerial photogrammetry is one of the Alternative technologies for more detailed data, real time, fast and cheaper. Nowadays, many photogrammetric mapping methods have used UAV / unmanned drones or drones to retrieve and record data from an object in the earth. The application of drones in the field of geospatial science today is in great demand because of its relatively easy operation and relatively affordable cost compared to satellite systems especially high - resolution satellite imagery.  This research aims to determine the stage or overview of data retrieval process with DJI Phantom 4 (multi - rotor quad - copter drone) with processing using third party software. This research also produces 2 - dimensional high resolution image data on the research area. Utilization of third party software (Agisoft PhotoScan) making it easier to acquire and process aerial photogrammetric data. The results of aerial photogrammetric recording with a flying altitude of 70 meters obtained high resolution images with a spatial resolution of 2 inches / pixels. 

Downloads

Download data is not yet available.

References

Anurogo, W., Murti, S. H., & Khakhim, N. (2015). Analisis Perubahan Hutan Mangrove Dalam Penentuan Kawasan Rehabilitasi Dan Perubahan Stok Karbon Menggunakan Data Penginderaan Jauh (Di Teluk Banten, Serang Provinsi Banten). [Thesis]. UGM (ID): Universitas Gadjah Mada, Yogyakarta, pp. 1-99.
Aprilliyanti, T., & Zainuddin, M. (2017). Pemetaan Potensi Kekeringan Lahan se-pulau Batam menggunakan Teknik Sistem Informasi Geografis (SIG) dan Penginderaan Jauh. Majalah Geografi Indonesia, 31(1), 91-94.
Colomina, I., & Molina, P. (2014). Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 79-97.
Farizki, M., & Anurogo, W. (2017). Pemetaan kualitas permukiman dengan menggunakan penginderaan jauh dan SIG di kecamatan Batam kota, Batam. Majalah Geografi Indonesia, 31(1), 39-45.
Hidayat, F. N., & Widartono, B. S. (2014). Pemodelan Kenyamanan Jalur Sepeda Kampus Universitas Gadjah Mada Memanfaatkan Foto Udara Format Kecil. [Skripsi]. UGM (ID): Universitas Gadjah Mada, Yogyakarta, pp. 1-77.
Lubis, M. Z. Z., & Daya, A. P. (2017). Pemetaan Parameter Oseanografi Fisik Menggunakan Citra Landsat 8 di Wilayah Perairan Nongsa Pulau Batam. Jurnal Integrasi, 9(1), 9-15.
Lubis, M. Z., Anurogo, W., Khoirunnisa, H., Irawan, S., Gustin, O., & Roziqin, A. (2017). Using Side-Scan Sonar instrument to Characterize and map of seabed identification target in punggur sea of the Riau Islands, Indonesia. Journal of Geoscience, Engineering, Environment, and Technology, 2(1), 1-8.
Nugroho, B. H., Suwardhi, D., & Harto, A. B. (2016). Analisis Parameter Orientasi Luar Pada Kamera Non-Metrik Dengan Memanfaatkan Sistem Rtk-Gps. Jurnal Ilmiah Geomatika, 21(2), 75-80.
Rahardjo, N. (1989). Penggunaan Foto Udara Untuk Mengetahui Kualitas Lingkungan Permukiman Di Kotamadya Magelang Dalam Hubungannya Dengan Kondisi Sosial Ekonomi Penghuni. [Thesis]. UGM (ID): Universitas Gadjah Mada, Yogyakarta, pp. 1-162.
Sari, D. P., & Lubis, M. Z. (2017). Pemanfaatan Citra Landsat 8 Untuk Memetakan Persebaran Lamun Di Wilayah Pesisir Pulau Batam. Jurnal Enggano, 2(1), 39-45.
Sari, N. M., & Kushardono, D. (2014). Klasifikasi Penutup Lahan Berbasis Obyek Pada Data Foto Uav Untuk Mendukung Penyediaan Informasi Penginderaan Jauh Skala Rinci (Object Based Classification Of Land Cover On Uav Photo Data To Support The Provision Of Detailed-Scale Remote Sensing Information). Jurnal Penginderaan Jauh Dan Pengolahan Data Citra Digital, 11(2).
Wolf, P. R., & Dewitt, B. A. (2000). Elements of photogrammetry: with applications in GIS (Vol. 3). New York: McGraw-Hill.
Published
2017-06-09
Issue
Vol 1 No 01 (2017): Journal of Applied Geospatial Information (JAGI)
Section
Articles

Copyright (c) 2017 JOURNAL OF APPLIED GEOSPATIAL INFORMATION

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright @2023. This is an open-access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License which permits unrestricted use, distribution, and reproduction in any medium. Copyrights of all materials published in JAGI are freely available without charge to users or / institution. Users are allowed to read, download, copy, distribute, search, or link to full-text articles in this journal without asking by giving appropriate credit, provide a link to the license, and indicate if changes were made. All of the remix, transform, or build upon the material must distribute the contributions under the same license as the original. 

Most read articles by the same author(s)

<< < 1 2