The Identification of Potential Stress in Oil Palm Using Sentinel-2A Satellite Imagery Approach and Laboratory Tests
DOI:
https://doi.org/10.29244/jtcs.13.02.430-444Keywords:
climate change, plant stress, proline, satellite imagesAbstract
Oil palm (Elaeis guineensis Jacq.) is a valuable source of vegetable oil for various industries, such as food and cosmetics. Global climate change, driven by global warming, has the potential to shift climate conditions and trigger extreme events, such as prolonged droughts. Extreme climate phenomena will impact plant conditions, causing plants to become stressed. A study was conducted from June 3 to October 31, 2023, at the Oil Palm Education and Research Plantation of IPB University in Jonggol, Bogor, West Java. The study aimed to determine the Palm Oil Stress Index (POSI) to identify stress in oil palm plants. The identification process included analyzing Sentinel-2A satellite images, testing soil water availability, and measuring leaf proline content. The study utilized the Leaf Water Content Index (LWCI) and Enhanced Vegetation Index (EVI) values as models to determine the POSI from the satellite images. Furthermore, soil physics analysis and proline values from the 17th leaf sample were used to assess the plants’ water availability and stress levels. The satellite images showed signs of potential stress in October; observation blocks in October had a pF value of 4.2 between 14.93%-16.77% compared to the water content, which ranged from 13.79%-15.09% supported by decreased soil water levels and increased proline accumulation occurred in October a value of 0.0382-0.0391 mg/g, compared to June, which is 0.0143-0.0159 mg/g. All areas were healthy from June to August; however, potential stress, as indicated by POSI values, their formulation, and color changes, was present in September and October.
References
Alizadeh, A., Alizade, V., Nassery, L., & Eivazi, A. (2011). Effect of drought stress on apple dwarf rootstocks. Technical Journal of Engineering and Applied Sciences, 1(3), 86-94.
Anazawa, M., Saito, G., Sawada, Y., & Sawada, H. (2001, November 5–9). Vegetation monitoring study using leaf water content index (LWCI) and NDVI. 22nd Asian Conference on Remote Sensing (ACRS), Singapore.
Cha-Um, S., Yamada, N., Takabe, T., & Kirdmanee, C. (2013). Physiological features and growth characteristics of oil palm (Elaeis guineensis Jacq.) in response to reduced water deficit and rewatering. Australian Journal of Crop Science, 7(3), 432-439.
Chong, K. L., Kanniah, K. D., Pohl, C., & Tan, K. P. (2017). A review of remote sensing applications for oil palm studies. Geo-Spatial Information Science, 20(2), 184–200. https://doi.org/10.1080/10095020.2017.1337317
Corley, R. H. V., & Tinker, P. B. (2015). The oil palm (5th ed). Wiley-Blackwell. https://doi.org/10.1002/9781118953297
Haridjaja, O., Baskoro, D. P. T., & Setianingsih, M. (2013). Different levels of field capacity by alhricks, free drainage, and pressure plate methods at different soil texture and relation for sunflower growth (Helianthus annuus L.). Jurnal Ilmu Tanah dan Lingkungan, 15(2), 52-59. https://doi.org/10.29244/jitl.15.2.52-59
Hong, Z., Lakkineni, K., Zhang, Z., & Verma, D. P. S. (2000). Removal of feedback inhibition of D1-proline-5-carboxylate of plants from osmotic stress. Plant Physiology, 122(4), 1129-1136. https://doi.org/10.1104/pp.122.4.1129
Ichsan, C. N., Hayati, M., & Mashtura, S. P. (2010). Respon kedelai kultivar kipas putih dan wilis pada kadar air tanah yang berbeda terhadap pertumbuhan dan hasil. Agrista, 14(1), 25-29.
Junaedi, Yusuf, M., Darmawan, & Baba, B. (2021). The effect of rain on the production of palm oil at a variety of plant ages. Jurnal Agroplantae, 10(2), 114-123. https://doi.org/10.51978/agro.v10i2.290
Khaerana, Ghulamahdi, M., & Purwakusumah, E. D. (2008). Effect of Drought Stress and Harvesting Time on Plant Growth and Xanthorrhizol Content of Curcuma xanthorrhiza Roxb. Jurnal Agronomi Indonesia, 36(3), 241-247.
Kurniawan, S., Khumaida, N., Ardie, S. W., Hartati, N. S., & Sudarmonowati, E. (2014). Proline and polyamine accumulation patterns of eggplant accessions in response to drought stress. Jurnal Agronomi Indonesia, 42(2), 136-141.
Kurniawan, W., Darmawan, A., & Bintoro, A. (2021). Palm oil vegetation detection using Sentinel-2 satellite image in Way Kanan District, Lampung Province. JOPFE Journal, 1(2), 1–9. https://doi.org/10.23960/jopfe.v1i2.5036
Lillesand, T. M., Kiefer, R. W., & Chipman, J. W. (2015). Remote sensing and image interpretation (7th ed.). Hoboken.
Lubis, R. E., & Widanarko, A. (2011). Buku pintar kelapa sawit. Agromedia.
Maryani, A. T. (2012). The Influence of water supply volume to the growth of oil palm seedlings (Elaeis guineensis Jacq) in main nursery. Bioplantae, 1(2), 64–74.
Nurjanaty, N., Linda, R., & Mukarlina. (2019). The effect of water stress and foliar fertilizer on the growth of mustard plants (Brassica juncea L.). Jurnal Protobiont, 8(3), 6-11. https://doi.org/10.26418/protobiont.v8i3.36700
Oktaviani, O. N., Hollanda, D., & Kusuma, A. (2017). Sentinel-2 satellite imagery recognition for marine mapping. Jurnal Oseana, 152(3), 40–55. https://doi.org/10.14203/oseana.2017.Vol.42No.3.84
Or, D., Wraith, J., Robinson, D., & Jones, D. (2012). Soil water content and water potential relationships. In P. Huang, Y. Li, & M. Sumner (Eds.), Handbook of soil sciences: Properties and processes.
Paterson, R. R. M., Kumar, L., Taylor, S., & Lima, N. (2015). Future climate effects on suitability for growth of oil palms in Malaysia and Indonesia. Scientific Reports, 5(1), 1–11. https://doi.org/10.1038/srep14457
Pohl, C., Kanniah, K. D., & Loong, C. K. (2016). Monitoring oil palm plantations in Malaysia. In International Geoscience and Remote Sensing Symposium (IGARSS), (pp. 2556–2559). https://doi.org/10.1109/IGARSS.2016.7729660
Pratiwi, A. D., Nasrul, B., Ardian, Effendi, A., & Nurhayati. (2022). Analysis of land water balance for determination of gogo rice planting time in Kampar district. Pedontropika Jurnal Ilmu Tanah dan Sumber Daya Lahan, 8(2), 61-75. https://doi.org/10.26418/pedontropika.v8i2.58827
Purba, J. H. V. (2019). Industri sawit Indonesia dalam perspektif minyak nabati global. Kesatuan Press.
Rendana, M., Rahim, S. A, Lihan, T., & Rahman, Z. A. (2015). A review of methods for detecting nutrient stress of oil palm in Malaysia. Journal of Applied Environmental and Biological Sciences, 5(6), 60–64.
Santoso, H., Tani, H., Xiufeng, W., & Segah, H. (2019). Predicting oil palm leaf nutrient contents in kalimantan, by measuring reflectance indonesia with a spectroradiometer. Internatioal Journal of Remote Sensing, 4(2), 1-22. https://doi.org/10.1080/01431161.2018.1516323
Sastrosayono. (2003). Budidaya kelapa sawit. Agromedia Pustaka.
Sharma, S., & Versules, P. E. (2010). Mechanism independent of ABA or proline feedback have a predomination role in transcriptional regulation of proline metabolism during low water potential and stres recovery. Plant, Cell and Environment, 33(11), 1838-1851. https://doi.org/10.1111/j.1365-3040.2010.02188.x
Subronto, I. Y., Harahap., & Latif, S. (2000). Penggunaan parameter fisiologi untuk mendapatkan bahan tanaman kelapa sawit yang toleran terhadap cekaman kekeringan. Jurnal Penelitian Kelapa Sawit, 8(3),153–165.
Sudirman, Sutono, & Ishak, J. (2006). Penetapan retensi air tanah di Laboratorium. In Sifat fisik tanah dan metode analisisnya. Balai Penelitian dan Pengembangan Pertanian.
Sukmono, A., Nugraha, A. L., & Firdaus, H. S. (2019). Integration of leaf water content index (LWCI) and enhanced vegetation index (EVI) for stress detection of rice plant using landsat 8 satellitte imagery. KnE Engineering, 4(3), 398–408. https://doi.org/10.18502/keg.v4i3.5891
Sum, A. F. W., & Shukor, S. A. A. (2019). Oil palm plantation monitoring from satellite image. IOP Conference Series: Materials Science and Engineering, 705(1), 1-8. https://doi.org/10.1088/1757-899X/705/1/012043
Sumariana., & Juswardi. (2022). Kadar prolin dan indeks toleransi pinak tanaman tebu hasil kultur jaringan di ptpn vii cinta manis pada cekaman kekeringan. In Prosiding Seminar Nasional Pendidikan Biologi dan Saintek (pp. 26-32).
Syarovy, M., Ginting, E. N., & Santoso, H. (2015). Respons morfologi dan fisiologi tanaman kelapa sawit (Elaeis guineensis Jacq) terhadap cekaman air. Warta Pusat Penelitian Kelapa Sawit, 20, 1–11.
Taufik, V. V., Sukmono, A., & Firdaus, H. S. (2021). Estimasi Produktivitas kelapa sawit menggunakan metode NDVI (normalized difference vegetation index) dan ARVI (atmospherically resistant vegetation index) dengan citra sentinel-2A. Jurnal Geodesi, 10(1), 153–162.
U.S. Geological Survey. (2018, July). USGS EROS Archive-Sentinel-2. https://www.usgs.gov/centers/eros/science/usgs-eros archive-sentinel-2
Veranica, N. (2014). Oil palm and domestic water needs in the Binturung Estate oil palm plantation area, North Pamukan District, South Kalimantan. Jurnal Anterior, 13(2),167–172.
Wicaksono, W., Prilianti, K. R, Setiawan, H., & Mimboro, P. (2022). Method of rapid detection of Ganoderma attacks on oil palm plantations by remote sensing. Journal JESSI, 3(2), 135–142. https://doi.org/10.26858/jessi.v3i2.38092
Yadegari, M., Shamshiri, R. R., Shariff, A. R. M., Balasundram, S. K., & Mahns, B. (2020). Using SPOT-7 for nitrogen fertilizer management in oil palm. Agriculture, 10(4), 1–17. https://doi.org/10.3390/agriculture10040133
Yuniasih, B., Adjie, A. R. P. (2022). Evaluation of oil palm plantation condition using NDVI index from Sentinel-2 satellite imagery. Jurnal Teknotan, 16(2), 127. https://doi.org/10.24198/jt.vol16n2.10
Zaitunah, A., Samsuri, S., Ahmad, A. G., & Safitri, R. A. (2018). Normalized difference vegetation index (NDVI) analysis for land cover types using Landsat 8 OLI in Besitang watershed, Indonesia. IOP Conference Series: Earth and Environmental Science, 126, 1–9. https://doi.org/10.1088/1755 1315/126/1/012112
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