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All Journal Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram
Ludwick Satria Romadoni
Universitas Muhammadiyah Malang
Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics Other

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Mapping Mangrove Blue Carbon via Unmanned Aerial Vehicles: A Systematic Review of Methodological Trends Ludwick Satria Romadoni; Eko Susetyarini; Muhammad Rifky Ardiansyah
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 3: July 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i3.21031

Abstract

Accurate quantification of mangrove blue carbon stocks requires precise, non-destructive, and cost-effective methodologies. However, conventional satellite imagery often suffers from moderate resolution and cloud cover, while traditional vegetation indices face optical saturation in dense coastal canopies. To address these core issues, this study conducted a Systematic Literature Review (SLR) using the PRISMA protocol to evaluate the use of Unmanned Aerial Vehicles (UAVs) in coastal carbon estimation. A targeted search of the Scopus database (2017–2026) yielded 37 peer-reviewed articles for thematic and qualitative synthesis. The synthesis reveals a significant paradigm shift toward UAV-based RGB sensors. Scientific findings indicate that advanced visual indices, specifically the Mangrove Vegetation Index (MVI) and Excess Green (ExG), are frequently reported as highly effective for reducing substrate reflectance bias and mitigating optical saturation. Furthermore, 59.5% of the reviewed studies integrated these spatial features with Machine Learning algorithms, primarily Random Forest and Support Vector Machine, to model non-linear biomass relationships and substantially reduce the Root Mean Square Error (RMSE). In conclusion, while UAV-RGB mapping demonstrates high potential, current linear interpolation methods struggle with dense interlocking canopies, causing over-fitted delineations. Future research must transition to discrete spatial algorithms with elevated threshold calibrations to accurately isolate individual tree crowns.
Carbon Inequality and Allometric Uncertainty in a Micro-Scale Campus Forest in East Java, Indonesia Citra Lesmana; Abdulkadir Rahardjanto; H. Husamah; Atok Miftachul Hudha; Tutut Indria Permana; Samsun Hadi; Ludwick Satria Romadoni
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 3: July 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i3.21087

Abstract

Micro-scale urban green infrastructure provides localized ecosystem services, yet quantifying its carbon dynamics remains a methodological challenge due to satellite resolution limits and the structural assumptions of generalized models. This study evaluates carbon stock distribution across 68 individual trees within a heterogeneous 0.8-hectare institutional urban forest at a microcatchment resolution, analyzing the validity of pantropical allometry.  The stand exhibits an estimated mean carbon density of 45.38 Mg C/ha, totaling 36.34 Mg. Critically, the high coefficient of determination value of 0.9422 primarily reflects structural dependency within the allometric formulation rather than independent ecological variability. Furthermore, the Gini coefficient value of 0.654 confirms severe structural biomass asymmetry. The carbon pool is disproportionately concentrated within a limited cohort of exactly 6 Large Old Trees with a diameter exceeding 60 cm, predominantly Samanea saman. Census data reveals that the top 5% of the largest individuals manage 28.3% of the vegetative carbon, while the top 10% and top 20% control 47.3% and 66.2% of the cumulative reservoir, respectively. Within this micro-forest, inverted J-shaped diameter distributions were insufficient to ensure evenly distributed carbon storage. Consequently, urban green planning must prioritize the targeted retention of dominant biomass anchors over raw sapling quantity. Preserving these established large trees contributes significantly to institutional carbon governance, providing an empirical framework for sustainability metrics such as the UI GreenMetric.
Co-Authors Abdulkadir Rahardjanto Atok Miftachul Hudha Citra Lesmana Eko Susetyarini Husamah Husamah Muhammad Rifky Ardiansyah Samsun hadi Tutut Indria Permana