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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis Jurnal Perikanan dan Kelautan Journal of Applied Geospatial Information Leuit, Journal of Local Food Security Journal of Maritime Empowerment Jurnal Abmas Negeri (JAGRI) Agrikan: Jurnal Agribisnis Perikanan Jurnal MAIYAH Majority Science Journal
Munandar, Erik
Program Studi Ilmu Kelautan, Fakultas Pertanian, Universitas Sultan Ageng Tirtayasa, Serang, Banten
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Social Sciences Other

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Journal : Journal of Applied Geospatial Information

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Identification of Mangrove Cover in Banten Bay using Google Earth Engine Erik Munandar; Agitha Saverti Jasmine; Muta Ali Khalifa
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.5326

Abstract

The existence of mangroves is a factor in the natural preservation of an area. The goal of this research is to identify the mangrove forest cover in Teluk Banten using guided classification based on machine learning available in GEE.The method used in this research is to visually analyze the spectral value of Sentinel 2A. The composite images used in the analysis include Bands 8A114 and Bands 8A115. Determination of subset images (cropping) is carried out to accommodate the size of the image according to the size of the research location to determine its distribution, extent and changesMangrove classification can be done using various digital image classification approaches, including pixel-based classification, object-based classification, and supervised and unsupervised learning. The choice of classification scheme depends on the purpose of the study and the available data. The mangrove cover area that is seen in red shows that the results of using the CART model can determine the area that is included in the mangrove class.Mangrove identification using GEE machine learning can produce mangrove cover. The result of mangrove cover area depends on how much training area is given. Training areas are used by CART in determining which areas are categorized as mangrove cover.
Co-Authors Achmad Noerkhaerin Putra Adi Susanto Adi Susanto Afifah Nurazizatu Hasanah Agitha Saverti Jasmine Agus Atmadipoera Ahmad Raihan Akif, Muhammad Mahdi Alansar, Toufik Ani Rahmawati Ani Rahmawati Aryani, Desy Bakti Sulistyono Bathara Ayi Meata Budiaji, Weksi Dewantara, Esza Cahya Dewi, Inge Yulistia Dodi Hermawan Fahresa Nugraheni Supadminingsih Fahresa Nugraheni Supadminingsih, Fahresa Nugraheni Fairuz, Najla Tasya Febrio, Eren Putra Fitria, Syarlla Putri Ara Forcep Rio Indaryanto Ginanjar Pratama Gumelar, Pandu Guruh Hamzah, Asep Hasanah, Afifah Nurazizatul Hendrawan Syafrie Hery Sutrawan Nurdin Hery Sutrawan Nurdin, Hery Sutrawan Indra Jaya Ismail, Muhammad Halim Jasmine, Agitha Saverthi Jasmine, Agitha Saverti Julian Saputra Julian Saputra Khalifa, Muta Ali Khalifa, Muta Ali Komariyah, Dedeh Lana Izzul Azkia, Lana Izzul Lestari, Nurhaliza Amalia Lusi Oktaviani Meata, Bhatara Ayi Mohamad Ana Syabana, Mohamad Ana Muta Ali Khalifa Muta Ali Khalifa Muta Ali Khalifa Muzahidi, Muzi Neng Muliah Nico Wantona Prabowo, Nico Wantona Nunung Noer Aziizah, Nunung Noer Nurdin, Hery Sutrawan Nuryadin, Devi Faustine Elvina Nuryadin, Devi Faustine Elvira Oktavia, Sella Radityani, Fitri Afina Rahmatuzzakia, Rahmatuzzakia Raihan, Ahmad Ririn Irnawati Ririn Irnawati Saad, Moch Saifullah Saifullah Santoso, Prakas Sa’adah, Feni Ulfa Sephiana, Lidya Siti Nurasiyah, Siti Solahudin, Edo Ahmad Sulistyono, Bakti Supadmaningsih, Fahresa Nugraheni Susanto, Adi Toufik Alansar Wantona, Nico Wati, Kiran Lavanya