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Journal : joiv international journal on informatics visualization

Determining Forest Fire Position from UAV Photogrammetry using Color Filtration Algorithm Muid, Abdul; Evita, Maria; Aminah, Nina; Budiman, Maman; Djamal, Mitra
JOIV : International Journal on Informatics Visualization Vol 6, No 4 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.4.956

Abstract

Forest fires frequently happen worldwide, especially in the dry season. A forest fire early warning system (EWS) is needed to prevent this disaster. The main part of EWS is the hotspot detection system. On the other side, Unmanned Aerial Vehicle (UAV) technology offers an alternative solution to detect the hotspot for poor satellite image processing accuracy. Remote sensing techniques with UAV working drones are progressively challenging. Drones can provide results in 2D and 3D images with high resolution and real-time. Therefore, in this research, we have used a photogrammetry application from the number of images collected by a UAV with an optimum flight plan for the mission to determine the location of the forest fire. This paper describes remote sensing experiments using drones to detect land fires. The experiment was carried out using a quadcopter drone of the DJI Phantom 4 Pro. The photos are processed using Agisoft Metashape Professional image processing software and become a 2D image. These images captured a fire simulation in a known location. After a high resolution (GSD – Ground Sampling Distance – 0.87cm/px) orthophoto had been generated, a color filtration algorithm detected a hotspot to detect a fire at the exact location. The results are almost zero deviation of longitude and latitude from the real location with 1.44 m2 and 1.06 m2 fire area from 2 experiments. This algorithm program has TPR and FPR are 0,78 and 0, respectively. Further research can develop an EWS with a combination of UAV and Wireless Sensor Networks.
Co-Authors Abdul Aziz Abdul Latif Ady Muh. Zainul Mustofa Agustiawan, M. Nassir Ahmad Fikri Ainur Rofiq Aisyah Larasati Albab, Alfi Nur Aminah, Nina Siti Amirullah, Muhammad Wahyu Anwar, Farikhul Appriyana, Nazira Apriyaningsih, Mega Ariarta, Aliffany Pualam Arif Setiawan Arif, Khofiyul Askarullah, Anas Asmaul Husna Ayang Fristia Maulana Azhar, Intan Nabila Azzahra, Anneira Azzahra, Gladisya Audita Bebeh Wahid Nuryadin Berti Ibmagara, Afridha Bibit Suhatmady Bisri, Abdul Mukti Bustanul Arifin Daud, Sulhi M. Ditama, Rezki Agrisa Endang Pujiastuti Evita, Maria Fachry Abda El Rahman Fatimah Arofiati Noor Febriani, Suci Ramadhanti Febriyanti, Yeni Harisah Iklas Sanubary Ilmiani, Aulia Mustika Ilmiyah, Hafiah Hafidhotul Irfana Diah Faryuni Irma Nirmala Iwan Setiawan Joko Sampurno Julfadhli, Ardhi Jupri, Achmad Karim, Amrulloh Khamim, Nur Khoiriyah, Robihatul Khoirun Nisa Kusumafikri, Dhea Gilang Latif, Muhammad Sabri Lia Mazia, Lia Lilyani Asri Utami, Lilyani Asri Lutfi Hakim Luthviah, Shiva Durrotu M, Fadhlan M. Fathor Rohman Magfiroh, Magfiroh Maghfianti, Azzahara Maharani, Afrisa Mahdi, Al- Mahdi, Mohamad Wardougou Maman Budiman Marina, Siti Mitra Djamal Moch. Ronni Noerirawan Muh. Ishak Jumarang Muhammad Fauzi Muhammad Kamal Muhammad Shohib, Muhammad Muhammad Sobri Muliadi, - Mursal Mursal Nada, Zanuba Qotrun Nasrulloh Nasrulloh Natalia, Cristin Nina Aminah, Nina Nurhasanah Nurhasanah Nursinta Prabowo, Ridho Pratama, Firman Afrian pratama, rizal Pratiwi, Desi Ramdani, Feri Ratulangi, Ambo Rasyid Riza Adriat Rosita Ilhami sae, Eli Apud Sahrizal Vahlepi Saputri, Cindi Sartika Sauzan, Zahra Sawita, I Kadek Agus Sara Sa’adah, Sa’adah Setyawan, Ferdy Siregar, Ivana Maretha Siti Fauziyah Suprijadi Suprijadi Suti’ah, Suti’ah Syafi’i, Imam Syah, Yasifun Ardian Tarigan, Darell Timothy Vania, Nur Izza Vertic Eridani Budi Darmawan Wahyu Kresno Edhy Waluyo, Handoyo Margi Yunengsih, Yuyun Yusup, Agung Zainudin, Ihsanul Khuluk Zenrif, M Fauzan Zulfian Zulfian