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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis Journal of Marine and Aquatic Sciences BULETIN OSEANOGRAFI MARINA Jurnal Sosial Ekonomi Pertanian Naturalis : Jurnal Penelitian Pengelolaan Sumberdaya Alam dan Lingkungan Jurnal Akuntabilitas Manajemen Pendidikan Jurnal Kelautan Tropis JURNAL ENGGANO JOIV : International Journal on Informatics Visualization MAJALAH ILMIAH GLOBE Jurnal Laut Khatulistiwa Jurnal Agroqua: Media Informasi Agronomi dan Budidaya Perairan Samakia: Jurnal Ilmu Perikanan Techno-Fish JOURNAL OF INDONESIAN TROPICAL FISHERIES (JOINT-FISH) : Jurnal Akuakultur, Teknologi Dan Manajemen Perikanan Tangkap, Ilmu Kelautan Journal of Sylva Indonesiana Jurnal Laot Ilmu Kelautan TRIBUTE: JOURNAL OF COMMUNITY SERVICES Aptekmas : Jurnal Pengabdian Kepada Masyarakat Repong Damar: Jurnal Pengabdian Kehutanan dan Lingkungan Jurnal Kastara Journal of Aceh Aquatic Sciences Geosfera Indonesia
Ayub Sugara
Universitas Bengkulu
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Journal : Geosfera Indonesia

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Monitoring the Impact of Land Cover Change on Urban Heat Island with Remote Sensing & GIS Feri Nugroho; Ayub Sugara; Ayi Priana; An Nisa Nurul Suci
Geosfera Indonesia Vol. 8 No. 3 (2023): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v8i3.27796

Abstract

The increasing need for land has resulted in a higher rate of land conversion and urbanization, leading to a rise in urban density and the occurrence of an Urban Heat Island (UHI) effect. The application of remote sensing and GIS can serve as a substitute for data collection in monitoring the UHI phenomena. This work utilizes Landsat 8 OLI satellite image data, namely band 10, to analyze Land Surface Temperature (LST). Bands 5 and 4 are employed to assess the distribution of Normalized Difference Vegetation Index (NDVI) in Bekasi Regency during the years 2014 and 2020. The relationship between NDVI and LST is highly correlated as they can effectively forecast the influence of areas with sparse vegetation on temperature. The guided classification approach, employing the maximum likelihood algorithm and kappa validation, is utilized to evaluate alterations in land use. The kappa accuracy test yielded a score of 0.90% for 2014 and 0.99% for 2020. The research conducted between 2014 and 2020 revealed changes in land distribution. Specifically, the built-up land area increased by 99.92 Km2, empty land expanded by 280.82 Km2, bodies of water covered an additional 46.13 Km2, and vegetation expanded by 293.91 Km^2. According to the UHI research, it is evident that there has been a rise in surface temperature in Bekasi Regency from 2014 to 2020. In 2014, the minimum temperature reached 30 °C, and the maximum temperature reached 51 °C. In 2020, the minimum temperature was recorded at 34 °C, while the maximum temperature reached 52 °C.
Utilization of Sentinel-2 Imagery in Mapping the Distribution and Estimation of Mangroves' Carbon Stocks in Bengkulu City Ayub Sugara; Agung H. Lukman; Aninda W. Rudiastuti; Ari Anggoro; Muhammad F. Hidayat; Feri Nugroho; Ali M. Muslih; An Nisa N. Suci; Rifi Zulhendri; Marissa Rahmania
Geosfera Indonesia Vol. 7 No. 3 (2022): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v7i3.30294

Abstract

The mangroves' aboveground biomass significantly contributes to the global carbon cycle or economic and ecological values. This makes knowledge about the spatial extent of the mangroves indispensable for policymakers. The sequence of mangroves’ condition range also requires remote sensing data to update the geographical information and synthesize carbon stock in Bengkulu. Therefore, this study aims to create a spatial distrribution of mangroves and evaluate their carbon stock in Bengkulu City using Sentinel-2 imagery. The semi-empirical method uses Sentinel-2 imagery through NDVI to appraise and picture the mangroves' aboveground carbon stock. An allometric equation was used to compute the mangroves' aboveground carbon stock from field measurements. Non-linear regression was used to establish a connection between the NDVI calculated from the Sentinel-2 imagery and the mangroves' aboveground biomass measured in the field, which was subsequently used for aboveground carbon estimation. The results showed that mangroves mapping could derive overall accuracy of 89.09%, where the high-density class existed in 135.12 Ha of total area. It was also discovered that Sentinel-2 imagery could estimate mangroves carbon stock up to 61%. The carbon stock estimation based on the imagery has a value of 16.3992 – 115.134 t C/ha, while that of field survey data ranges from 19.69 to 326.06 t C/ha. These results showed that Sentinel-2B spectral data is functional and has a good chance of being able to predict carbon stock. Keywords : Carbon; mangroves; NDVI; remote sensing; sentinel-2B Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Co-Authors Adityo Raynaldo Afriliani, Dia Agung H Lukman Agung H. Lukman Agung Hasan Lukman Agung Hasan Lukman Ahmad Ilan Aprianto Akbar, Achmad Alfiqi Maulana Ali M. Muslih Ali Muhammad Muslih Ali Muhammad Muslih Ali Muhammad Muslih Ali Muqsit, Ali Amelia Suryanita Ami Nolisa Amir Husaini Karim Amrullah Amirizal Ammar Habibi An Nisa N. Suci An Nisa Nurul Suci An Nisa Nurul Suci An Nisa Nurul Suci Ana Ariasari Andy Makhrian Anggraini, Selva Angraini, Noverina Aninda W. Rudiastuti Anitya Dwi Putri Anitya Dwi Putri Anna Farida Anna Farida Anugrah Mahesya, Andes Ari Anggoro Ari Anggoro Ari Anggoro Ashabul Anhar Ashabul Anhar Assabillah, Muhammad Aulia, Ramadha Ayi Priana Boby Bagja Pratama Cindy Claudea Hanami Citra Arum Sari Cut Meurah Nurul ‘Akla Dearti, Fitri Deddy Bakhtiar Deddy Bakhtiar, Deddy Delvia Novitasari Durrah Hayati Durrah Hayati Dwi Kurniawan, Bagas Erlangga Erniati Esty Kurniawati Etha Marista Fahrurrozi, Fahrurrozi Fakhirah Feri Nugroho Feri Nugroho Feri Nugroho Feri Nugroho Firdha Iresta Wardani Firsta, Sigit Widianto Fitranita, Vika Haikal Fikri, Muhammad Hasidu, La Ode Abdul Fajar Hefni Effendi Ida Rosita Ilhami, Bq Tri Khairani Imamshadiqin, Imamshadiqin Imanullah Iresta Wardani, Firdha Jarulis Jarulis Jufrise, Siska Julia Purnama Sari Julia Purnama Sari Julia Purnama Sari Juwandi, Dwidriandito Lola Adres Yanti Lubis, Bustanuddin Lubis, Bustanudin Makhrian, Andi Makhrian, Andy Margono, Setio Marissa Rahmania Maryam Jamilah Maryam Jamilah Mery Leyani, Etika Miftakhul Munir Mohammad Nur Dita Nugroho Moneka, Kostari Mudjiono Muhammad Alsy Perdana Muhammad F. Hidayat MUJIZAT KAWAROE Mukti Dono Wilopo Mulkan Nuzapril Nanda Putri, Lyra Nella Tri Agustini, Nella Tri NEVIATY PUTRI ZAMANI Nirawandi, Iwan Nugroho, Muhammad Nur Dita Nur Arief Putri, Viche Nur Audina Nur Lina Maratana Nabiu Nurmeiliasari Okta Asmaranti, Arini Pardede, Meri Kristina Pratama, Wahyunda Priyono Prawito Putri Amanda, Ericha Rahmi Yuristia Rangga Aditya, Muhammad Ria Ramadhani Dafitri Rifi Suhendri Rifi Zulhendri Rifi Zulhendri Riska Ayu Kurniati Risnita Tri Utami Robin Saputra Romiza, Naziha Rosi L. Vini Siregar Rudiastuti, Aninda Wisaksanti Safaat, Muhammad Saiful Adhar Samsul Bahri Selvika, Zerli septa, nickyastria Shofiyah, Sofi Siti Silvy Syukhriani, Silvy Siti Nur Azizah, Siti Suryanita, Amelia Susanto, Jefri Syamsul B. Agus Syamsul Bahri Agus, Syamsul Bahri Syaputra, Andika Charles Tanzul, Muhammad Tarisa Teddy Triandiza Tuti Arlita Tuti Arlita Ulfa Hansri Ar Rasydi Ulfa Hansri Ar Rasyid Ulfah Anis Ully Wulandari, Ully Vincentius P Siregar Wica Elvina Win Syaputra, Edo Wulandari, Diah Anggraini Yola Wulandari, Yola Yudho Andika Yudho Andika Yulfiperius, Yulfiperius Yurike Yurike Yuriz Silviani, Nandini Zamdial Zamdial Zamdial Zibar, Zan Zulkhasyni