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All Journal Jurnal Biologi Tropis Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Betti Yuniasih
Institut Pertanian Stiper Yogyakarta
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Engineering Immunology & microbiology

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Evaluation of Pre-Replanting Oil Palm Plant Health using the NDVI Index from Landsat 8 Satellite Imagery Betti Yuniasih; Alief Rizky Purnama Adji; Budi Budi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 11, No 2 (2022): June
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v11i2.304-313

Abstract

NDVI analysis was calculated based on the ratio of the reflection of red and near infrared waves. Aims of this study is to determine the density condition and health level of oil palm plants that have entered the age of replanting using the NDVI index from Landsat 8 satellite imagery and evaluate the plant health level based on the NDVI index compared with the LSU data. The research was conducted at Afdeling 1 Rantau Baru Plantation, PT. Pusaka Megah Bumi Nusantara, which is a plantation with old oil palm plant that have entered a period of replanting (22-29 years). The NDVI analysis results show the NDVI value is 0.034-0.469. Object identification shows that non-vegetation objects have an NDVI index value of 0.034-0.245 and vegetation objects have a value of 0.273-0.454. The result of the NDVI index shows the density of oil palm plants are categorized in the high category (dense). These results are appropriate with the actual condition of oil palm plantations which have an average density of 118 trees/hectare. The average NDVI value for vegetation objects is 0.423, that indicates the plants are in fairly healthy condition. The level of plant health as the result of the NDVI analysis was in appropriate with the LSU data which showed that the content of macro and micro nutrients in the leaves was quite high. Therefore, NDVI analysis can be an alternative to evaluate the condition of oil palm plantations efficiently.  Keywords:   Landsat 8 sattelite imagery, NDVI index, Oil palm, Plant density, Plant health
Quantification of Total Biomass and Carbon Stock in Oil Palm Plantations Based on Compartments: Main Stand and Understory Vegetation Khoirul Ummah Al-faruq; Betti Yuniasih; Amir Noviyanto
Jurnal Biologi Tropis Vol. 26 No. 2 (2026): April - Juni
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v26i2.11568

Abstract

Oil palm plantations play a role in carbon storage; however, field-based information on biomass and carbon stock distribution among vegetation compartments remains limited. This study aimed to estimate biomass and carbon stocks of oil palm plantations based on main stand components and understory vegetation across immature (TBM), prime mature (TM Prime), and old mature (TM Old) growth phases. Field measurements were conducted in Central Kalimantan using plot sampling with a planting density of approximately 143 trees ha⁻¹. Main stand biomass was estimated non-destructively using compartment-based allometric equations, while understory biomass was measured destructively. The results showed an increase in biomass from approximately 94 kg tree⁻¹ at the TBM stage to 486–517 kg tree⁻¹ at the TM Prime stage and 495–582 kg tree⁻¹ at the TM Old stage, following a sigmoid growth pattern. Carbon stock was predominantly contributed by the oil palm main stand (5290.59 t C ha⁻¹), whereas understory vegetation contributed only a minor proportion (0.247 t C ha⁻¹). These findings provide transparent empirical data to support greenhouse gas accounting within the Indonesian Sustainable Palm Oil (ISPO) framework.
Co-Authors Alief Rizky Purnama Adji Amir Noviyanto Budi Budi Khoirul Ummah Al-faruq