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Mapping Aboveground Carbon in Rehabilitated Mangrove: Evaluating the Performance of Regression Modelling with Satellite-Derived Vegetation Indices and Kriging Interpolation Sumarga, Elham; Syamsudin, Tati Suryati; Sarah, Sarah; Qalbi, Mutiara Putri; Tansy, Belinda Calista; Basyuni, Mohammad; Larekeng, Siti Halimah
Journal of Multidisciplinary Applied Natural Science Vol. 6 No. 1 (2026): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.311

Abstract

Mangroves are vital ecosystems in combating climate change, primarily through their exceptional capacity for carbon sequestration and long-term storage. To effectively manage and conserve these valuable resources, accurate carbon stock mapping is crucial. Given the inherent variability of mangrove biophysical characteristics, selecting appropriate mapping methodologies is essential. This study aimed to evaluate two distinct approaches: regression modeling using satellite-derived vegetation indices and kriging interpolation, within the Angke Kapuk mangrove area of Jakarta. Regression models were constructed utilizing forest canopy density (FCD) and its constituent indices (derived from Landsat 8), alongside normalized difference vegetation index (NDVI), advanced vegetation index (AVI), and soil adjusted vegetation index (SAVI) from Sentinel 2A, as predictor variables. Field-based carbon stock data, obtained from 50 square plots (10 m × 10 m) using established allometric models, served as the response variable. The study revealed substantial heterogeneity in carbon storage, ranging from 34.76 to 236.87 tons/ha, with a mean of 135.31 tons/ha and a standard deviation of 50.09 tons/ha. Regression modelling, however, demonstrated limited predictive power, achieving a maximum R² value of only 0.03, indicating a poor fit between the predictor variables and observed carbon stocks. Kriging interpolation yielded moderate accuracy, as evidenced by a coefficient of variation of root mean square error (CV RMSE) of 0.39. This disparity in performance can be attributed to several factors, including the homogeneity of the rehabilitated mangrove canopy, which limited the ability of vegetation indices to accurately represent carbon stock variations. Furthermore, kriging's capacity to model spatial autocorrelation proved advantageous in this context. Based on these findings, this paper discusses the influence of mangrove characteristics on modelling performance and provides practical recommendations for area managers regarding future carbon stock mapping initiatives.
STRATEGI PENGEMBANGAN UNIT PENGELOLAAN SAMPAH NON ORGANIK Sarah, Sarah; Iskandar, Abubakar; Subagdja, R. Oetje; Wahyudin, Cecep
Administratie: Jurnal Administrasi Publik Vol. 3 No. 1 (2021): Administratie: Jurnal Administrasi Publik
Publisher : Universitas Djuanda

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Abstract

Maintaining, managing, and protecting the environment's cleanliness, especially those arising from waste is not easy, littering means removing trash, wrongly means removing. The research aims to sort out inorganic waste according to its type, to explain the application of reducing landfill waste, managing it so that it doesn’t become garbage and reuse management results through the Waste Bank. Quantitative qualitative methods. Direct data/not good observation, interview, documentation. Sampling 40 people. Flow Model Analysis, Product Moment Correlation, and Community Perception Analysis. Some conclusions: the value of r = 0.421 means that the relationship between inorganic waste management and the waste bank is very close, and 0.513 means that the relationship between type of inorganic waste and the socialisation of the waste bank is very close. 0.356 means that the relationship between types of inorganic waste and waste banks is quite close. 0.634 means that the relationship between the types of inorganic waste and inorganic waste management is very close. 0.363 means that the income value of inorganic waste and types of inorganic waste is quite close, value of 368 means the relationship between the income value of inorganic waste and management of inorganic waste is quite close.
Co-Authors Abdul Jafar Abubakar Iskandar Adinda Lutfiana Aisyah Aisyah Akbar, Firdaus Al-Azmi, T. Muhammad Al-Firqan, Fuad Ali, Mad Amelya, Asy Syifa Reza Anderi, Anderi Andi Nur Fadilah Anshory, Jamil Arifin, Yesica Salshabila Aryanih, Eka Asep Sopian Asrul Asrul Ayu, Ratih Kusumaning Ayuandina, Ayuandina Ayuningtyas, Pridawanti Azharuddin Azharuddin, Azharuddin baidar baidar Basok, Buhari Bimantoro, Rizky Aditya Deden Najmudin Elham Sumarga elida elida Elni Yakub Fachry Abda El Rahman Fadilah, Mutia Kansa Al Fahrurozi, Zidhan Muhammad Farid Munawar Al Ansori Fauziah Syifa Haurani Fitriany, Rizky Greace Patandianan Hakim, Usnul Halwa Nadya Izzatunnisa Hamudin, Irna Andriani Hendra , Raden Herawati Hildah, Hildah Husna, Nindita Asma Ul Imansa, Syahdam Indra Rasyid Julianto Indriani Sri Lestari Irma Andriani IRWAN LAKANI Jumadi Jumadi Khairu Annisa Khoirunnisa, Munia Fitria Lalan Erlani Lestari, Linda Lisna Lisna, Lisna Lufri Lufri Lutfiyah, Vivi Magdalena, Ina Maulani, Ully Indah Maylina Sari, Rian Misbah Hayati Mohammad Basyuni Muhammad Farid Muqtadir Fajar Musriana, Musriana Nabilah Nabilah Nasution, Amanda Putri Nida Handayani Novira, Nuraeni Nurfadhillah, Septy Nurhidayati, Dera Nurjamilah, Putri Nurwijayanti Pauzi, Miftah Putri, Adelia Putri, Disa Cahaya Putri, Nasywa Natasya Sasqia Qalbi, Mutiara Putri Ramadanti, Saskia Ramadhan Sumarmin Ramadhan, Dian Ramadhan, Savina Nurrahmadanti Ramadhanty, Salwa Risky, Muhamad Rizqia, Ana Sabila Rosmawati Rosmawati Ruwanda, Somi Sam, Zulfiah Sanusi , Sanusi Saputra, M Adi Sartika, Devi Septianih, Nabilah Shafariana Shafariana Shoaleha, Mar'atu Simorankir, Sriwaty Siregar, Epriliani Rahmita SITI HALIMAH LAREKENG, SITI HALIMAH Siti Nuraeni, Siti Sofyan, Rudy Sri Nurhayati Subagdja, R. Oetje Sunaryo Sunaryo Suprihatin Suprihatin Syirgaini, Joya Tansy, Belinda Calista Tati Suryati Syamsudin Unaenah, Een Utari, Nisa Ria Wahyudin, Cecep Wahyunda, Putri Wardina, Fildza Wilujeng, Aprilia Yasmine, Arifah Yunita, Desy