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SITI HALIMAH LAREKENG, SITI HALIMAH
Universitas Hasanuddin
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Veterinary Other

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Journal : Journal of Multidisciplinary Applied Natural Science

 1 
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.
Co-Authors A Mujetahid A.R Tassakka, Asmi Citra Malina Abda Abda Abdul Karim Abdur Rahman Arif Adnan Adnan Adnan Adnan Agus Purwito Agus Rachmat Ahyar Ahmad Ahyar Ardat, Muh Al Amanah, Hafizhah Andi Detti Yunianti Andi Detti Yunianti Andi Erwin Eka Putra Andi Prastiyo Andi Siady Hamzah Andri Ardiansyah Andri Ardiansyah Anila, Chaeria Anita Anita Arfah, Rugaiyah Andi Arif Nirsatmanto Aris Prio Ambodo Aris Prio Ambodo Arsyad, Mirza Arsiaty Aslan, Aura Aulia Asmi Citra Malina Asrianny Asrianny, Asrianny Asriyanni Asriyanni Astari Rusdin, Rista Astuti Arif Baharuddin, Ma’rifa Basse Siang Parawansa Budiaman Budiaman Budiman, Yogi Anang Budirman Bachtiar Budirman Bahtiar Dirpan, Andi Dirvamena Boer DIRVAMENA BOER, DIRVAMENA Dr. Herlina Rante, M.Si., Apt DWI SURYANTO Ekajayanti Kining Elham Sumarga, Elham ELIHAMI, ELIHAMI Fa'iq, Muhammad Feranita Haring G Gusmiaty G., Gusmiaty Gusmiati Gusmiaty . Gusmiaty Gusmiaty Gusmiaty Gusmiaty Gusmiaty Gusmiaty Gusmiaty Gusmiaty, Gusmiaty Hajrawati, Hajrawati Haring, Feranita Harningsih Karim Hasnah Natsir Hisein, Waode Siti Anima I Irwan I Iswanto I. Iswanto Irfandi, Rizal Irmawati . Irmawati Irmawati Ismail Maskromo ISMAIL MASKROMO Iswanto Iswanto Joeharnani Tresnati Khairana Kadriah, Ince Ayu Kurnia Kurnia Lamanda, Sukriati A. M Musriati M. Yunus Sudirman Marlina Mustafa, Marlina Marwan Rajab Matjik, Nurhayati Anshori Ma’rifa Baharuddin Michely Jauwdy Stevic Mirza Arsiaty Arsyad Mirza Arsiaty Arsyad Mirza Arsiaty Arsyad Mochammad Imron Awalludin Mohammad Basyuni Muh Alif KS Muh Restu Muh. Farid Muh. Restu Muh. Restu Muh. Restu Muhammad Bima Akzad Muhammad Fuad Anshori Muhammad Restu Munajat Nursaputra, Munajat Mustari, Andi Subhan Nasir, Anugrahandini Nasri Nasri Nawir Nawir, Nawir Negara, Satria Putra Jaya Nur Reski Immalasari NurAfni NurAfni Nurfadilah Latif NURHAYATI ANSHORI MATTJIK Nurul Muhlisah Mompewa Parawansa, Basse Siang Paulina Taba Prof. Dr. Gemini Alam, M.Si., Apt Qalbi, Mutiara Putri Rahayu, Rifqah Rahmat, Syaeful Ramadani, Ananda Rathna Paelongan Rayu, Surya Muh. Furqan Rehan Rehan Restu, Muhammad Rifdah Anggrini Zabir Riksfardini Annisa ERMAWAR Rinaldi Sjahril, Rinaldi Rismawati Rismawati Rismawati Rismawati S. Sudarsono Saidil, Saidil Sarah Sarah, Sarah Sarlan, Sarlan Siti Aslamyah Sitti Nuraeni Suaib, Suaib SUDARSONO SUDARSONO Suharman Suharman, Suharman Supratman Supratman Suriati Eka Putri Syahriani Syahriani, Syahriani Syamsuddin Millang Tansy, Belinda Calista Tati Suryati Syamsudin Yohan Lawang Yohan Lawang Yuni Fitri Cahyaningsih Yuni Fitri Cahyaningsih Yuni Fitri Cahyaningsih Yusniar Yusniar Zulfadilah Syam