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Journal : JOIV : International Journal on Informatics Visualization

Classification of Sugarcane Area Using Landsat 8 and Random Forest based on Phenology Knowledge Sudianto, Sudianto; Herdiyeni, Yeni; Prasetyo, Lilik Budi
JOIV : International Journal on Informatics Visualization Vol 7, No 3-2 (2023): Empowering the Future: The Role of Information Technology in Building Resilien
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3-2.1401

Abstract

Indonesia is one of the largest countries globally with an area for planting sugarcane. The current problem is that determining the planting area of sugarcane is still done conventionally; this is very limited and wastes time. Thus, knowing the sugarcane planting area becomes essential for policymaking through Remote Sensing technology. However, the challenge of Remote Sensing is the limited data due to weather and the spectral variability of other plants. So, it is necessary to classify based on phenological knowledge. The study aims to classify sugarcane areas based on phenological knowledge using Remote Sensing and Machine Learning. This application finished on the cloud platform Google Earth Engine (GEE) through Landsat 8 satellite imagery data. The knowledge of sugarcane phenology was built based on the Normalized Difference Vegetation Index (NDVI) spectral value and built with the harmonic model. In addition, classification is accomplished by object-oriented (OO) methods for segmentation classification. Object-oriented is solved by the Simple Non-Iterative Clustering (SNIC) algorithm for spatial cluster identification, the Gray-Level Co-occurrence Matrix (GLCM) for texture extraction, and the Random Forest algorithm for Land Use-Land Cover (LULC) classification. The results of the accuracy analysis using the confusion matrix and the classification of sugar cane areas based on phenological knowledge obtained the best results with an overall accuracy of 95.9% with a Kappa coefficient of 0.92. It can be concluded that a classification approach with knowledge of plant phenology can help better classify the availability of land for plantations in the future.
Co-Authors ABDUL HAMID Abdul Hamid Adie Pamungkas Adriansyah, Hikari Afandi, Widi Agus Efendi Agus Rofi’i Agustianto, Satya Helfi Ahmad Ismail Ajeng Dyah Kurniawati Akhmad, Fajar Kamaludin Alfani, Mufti Hasan Anang Martoyo Anataya, Syalaisha Nisrina Andi Amang Andi Hidayatul Fadlilah Andika Prasetya Nugraha Angela, Maria Apriana Ansori, Sayid Ansori, Yoyo Zakaria Aprilia, Jeti Atika Ratna Dewi Audina, Silfi Azhar Muntaha Azizahfa, Ai Nurlaeli Maulatul Baharudin, Muhammad Yusuf Saaih Budhi, Widodo Dasril Aldo Dede Salim Nahdi Dedy Agung Prabowo Dewi Permata Sari Dewi Peti Virgianti, Dewi Peti Dewi, Susantriana Djunaedi Djunaedi Dyah Kurniawati, Ajeng Erlangga, Muhammad Fadlililah, Andi Hidayatul Falerina Rahmatunnisa Chaniago Fauzi Ahmad Muda Fauziah, Inayah Ferdina, Dina Firdaus Firdaus Hamzah, Zulfadli Hana Diana Maria Hendayana, Alya Fatihah Hendri Herman Heni Herawati Herman, Henry Humaira, Novida Iik Nurhikmayati, Iik Insiyah, Cici' Irwan Irwan Ismayanti , Syifa Jamahsyari, Yolan Faiz Jatisunda, Moh Gilar Jeffry Nugraha Julia, Rida Kafabi, Muhammad Hilmi Kartiwa, Cece Enjang Kusumah, Firdan Gusmara Kusumaningrum, Andini Mulia Laelasari Laelasari, Laelasari Latisa, Alsya LILIK BUDIPRASETYO Listyani , Elfa Maesaroh , Nita Mahmudin, Dede Maleh, D.Th, Kinurung Maleh, Kinurung Marhami, Azwan Cahya Maria, Hana Diana Marsally, Silvia Van Martiyaningsih, Dwi Puspa Martoyo, Anang Muhamad Azrino Gustalika Muhammad Arif Mulyadi Mulyadi Muna, Bunga Laelatul Nata, Septiawan Dwi Ni'amah, Khoirun Ni’amah, Khoirun Nugraha, Jeffy Nuraini, Putri Nurfaeda , Sofia Muawalina Nurfazriyah, Sri Mulyani Pamungkas, Adie Pangestu, Farhan Aryo Pebrianti, Yesi Utami Purwanto, Andrias Rachman, Ari Rakhma, Nazwa Aulia Ramadhan, Afan Ramadhan, Dadan Ramdiani , Rani Ramdiani, Rani Ripaldi Rochmanah Suhartati Rohaeti, Titi Rohimatunisa, Dela Sabri Sabri Safitri, Lisdiana Pavila Santoso, Erik Saputra , Wahyu Andi Saputra, Wahyudi Andika Saputro, Satria Nur Soemedhy, Chandra Ayunda Apta Sri Mulyani Nurfazriyah Sudi, Mohamad Suhada, Karya Suharto, Andi Muhammad Sulaeman, Gilang Sulastri, Desi sumardin, sumardin Supriyadi Supriyadi Suriadi Suriadi Sutopo Sutopo Suwandi, Iqbal Abdillah Suyono Suyono Tiyaswening, Arsita Wiwit Trivetisia, Nora Usman, Muhammad Lulu Latif Utami, Tri Wulandari Vici Suciawati Wibowo, Rohim Isnain Septian Wicaksono, Apri Pandu Wijaya, Rommy Winanti, Nawang Anggita Wulandari, Dewi Eka Yane Liswanti, Yane Yaqin, Silpi Syamrotul Yasin, Feri Yeni dwi Kurino Zulkifli Zulkifli