DISTRIBUSI SPASIAL KESEHATAN TANAMAN KARET MENGGUNAKAN SENTINEL-1
DOI:
https://doi.org/10.22302/ppk.jpk.v42i1.881Keywords:
kesehatan tanaman karet, sentinel-1, RVI, NDRVIAbstract
Tanaman karet (Hevea brasiliensis) merupakan komoditas penting yang menjadi sumber pendapatan petani di Indonesia. Namun, dalam beberapa tahun terakhir perkebunan karet di Indonesia mengalami penurunan mutu dan produksi yang disebabkan oleh penyakit gugur daun Pestalotiopsis sp. Teknologi remote sensing dapat menjadi solusi dalam pemantauan kesehatan tanaman. Kendala tutupan awan dalam pemantauan perkebunan karet menggunakan citra optik menghambat keberlangsungan. Citra Sentinel-1 dilengkapi data Synthetic Aperture Radar (SAR) yang mampu untuk menembus awan. Sehingga, penelitian ini bertujuan untuk menganalisis distribusi spasial kesehatan tanaman dengan menggunakan multi indeks vegetasi RVI dan NDRVI pada citra Sentinel-1. Hasil penelitian menunjukan bahwa multi indeks vegetasi tidak memiliki hubungan yang signifikan dengan kelas kesehatan tanaman. Faktor noise, panjang gelombang, dan hamburan balik mengindikasikan rendahnya hubungan antar variabel.
References
Abd Hamid, N.-R., Yaacob, M. L. M., Abd Ghani, Z., Idris, N. H., Alvin, L. M. S., Hassan, M. I., Idris, K. M., Dollah, R., Salleh, A. M., & Ahmad, M. B. A. (2022). Rubber-Tree Leaf Diseases Mapping Using Close Range Remote Sensing Images. International Journal of Integrated Engineering, 14(5), 1–12.
Alchemi, P. J. K., & Jamin, S. (2022). Impact of Pestalotiopsis leaf fall disease on leaf area index and rubber plant production. IOP Conf. Ser. Earth Environ. Sci., 995(1), 12030.
Anisa, R., & Rokhmana, C. A. (2019). Ekstraksi Citra Sentinel 1a Dengan Metode Polarimetrik Untuk Pemetaan Hutan Di Provinsi Sumatera Selatan. Elipsoida : Jurnal Geodesi Dan Geomatika, 2(01), 80–87. https://doi.org/10.14710/elipsoida.2019.4869
Arief, R., Sudiana, D., & Ramli, K. (2016). Compressed Synthetic Aperture Radar Imaging Based on Maxwell Equation. Jurnal Teknologi, 78(6–3), 15–22. https://doi.org/2180-3722
Azizan, F. A., Kiloes, A. M., Astuti, I. S., & Abdul Aziz, A. (2021). Application of optical remote sensing in rubber plantations: A systematic review. Remote Sens. (Basel), 13(3), 429.
Febbiyanti, T. R., & Fairuzah, Z. (2020). Identifikasi Penyebab Kejadian Luar Biasa Penyakit Gugur Daun Karet di Indonesia. J. Penelit. Karet, 193–206.
Han, P., Chen, J., Han, Y., Yi, L., Zhang, Y., & Jiang, X. (2018). Monitoring rubber plantation distribution on Hainan Island using Landsat OLI imagery. International Journal of Remote Sensing, 39(8), 2189–2206. https://doi.org/10.1080/01431161.2017.1420933
Holtgrave, A. K., Röder, N., Ackermann, A., Erasmi, S., & Kleinschmit, B. (2020). Comparing Sentinel-1 and -2 data and indices for agricultural land use monitoring. Remote Sensing, 12(18). https://doi.org/10.3390/RS12182919
Huang, Y., Zhang, L., Li, J., Chen, Z., & Yang, X. (2020). Reweighted Tensor Factorization Method for SAR Narrowband and Wideband Interference Mitigation Using Smoothing Multiview Tensor Model. IEEE Transactions on Geoscience and Remote Sensing, 58(5), 3298–3313. https://doi.org/10.1109/TGRS.2019.2953069
Jiang, R., Sanchez-Azofeifa, A., Laakso, K., Xu, Y., Zhou, Z., Luo, X., Huang, J., Chen, X., & Zang, Y. (2021). Cloud cover throughout all the paddy rice fields in guangdong, china: Impacts on sentinel 2 msi and landsat 8 oli optical observations. Remote Sensing, 13(15),1–17. https://doi.org/10.3390/rs13152961
Lee, J. Sen. (1981). Speckle analysis and smoothing of synthetic aperture radar images. Computer Graphics and Image Processing, 17(1), 24–32. https://doi.org/10.1016/S0146-664X(81)80005-6
Li, H., Zhao, L., Sun, L., Li, X., Wang, J., Han, Y., Liang, S., & Chen, J. (2022). Capability of Phenology-Based Sentinel-2 Composites for Rubber Plantation Mapping in a Large Area with Complex Vegetation Landscapes. Remote Sensing, 14(21). https://doi.org/10.3390/rs14215338
Manessa, M. D. M., Rokhmatuloh, Supriatna, Shidiq, I. P. A., Nagasawa, R., Ayu, F., Efriana, A. F., Lestari, R., Bustamam, A., Matsui, M., Kase, K., Makita, Y., Febbiyanti, T. R., Oktavia, F., & Stevanus, C. T. (2023). Study of rubber leaf disease using hyperspectral reflectance. In O. Matoba, J. A. Shaw, & C. R. Valenta (Eds.), SPIE Future Sensing Technologies 2023 (Vol. 12327, p. 123270F).SPIE. https://doi.org/10.1117/12.2646516
Pratiwi, G., Sasmito, B., & Bashit, N. (2021). Analisis Prediksi Nilai Biomassa Atas Permukaan (Aboveground Biomass) Pohon Karet Menggunakan Citra Sentinel-1a Terhadap Usia Tegakan. Elipsoida : Jurnal Geodesi Dan Geomatika, 4(01), 27–33. https://doi.org/10.14710/elipsoida.2021.11482
Putri, T. R., & Supriatna, S. (2021). A spatial study of rubber plant health using sentinel 2-A imagery in Cibungur Plantation, Sukabumi, West Java. IOP Conference Series: Earth and Environmental Science, 623(1). https://doi.org/10.1088/1755-1315/623/1/012078
Rulian, N., Armijon, A., & Murdapa, F. (2022). Analisa Hamburan Balik Citra Sentinel-1 untuk Pemantauan Kelas Umur Tanaman Kelapa Sawit (Studi Kasus: PT. Perkebunan Nusantara VII Unit Rejosari, Natar, Kabupaten Lampung Selatan). Journal of Geodesy and Geomatics, 1(02), 55–66.
Shang, R., Liu, M., Lin, J., Feng, J., Li, Y., Stolkin, R., & Jiao, L. (2022). SAR Image Segmentation Based on Constrained Smoothing and Hierarchical Label Correction. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–16. https://doi.org/10.1109/TGRS.2021.3076446
Syarifa, L. F., Agustina, D. S., Alamsyah, A., Nugraha, I. S., & Asywadi, H. (2023). Commodity Outlook of Indonesian Natural Rubber. Jurnal Penelitian Karet, 41(September), 47–58.
Szigarski, C., Jagdhuber, T., Baur, M., Thiel, C., Parrens, M., Wigneron, J. P., Piles, M., & Entekhabi, D. (2018). Analysis of the Radar Vegetation Index and potential improvements. Remote Sensing, 10(11), 1–15. https://doi.org/10.3390/rs10111776
Villarroya-Carpio, A., Lopez-Sanchez, J. M., & Engdahl, M. E. (2022). Sentinel-1 interferometric coherence as a vegetation index for agriculture. Remote Sensing of Environment, 280(April), 113208. https://doi.org/10.1016/j.rse.2022.113208
Yommy, A. S., Liu, R., & Wu, A. S. (2015). SAR image despeckling using refined lee filter. Proceedings - 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2015, 2, 260–265. https://doi.org/10.1109/IHMSC.2015.236
Yusof, N., Shafri, H. Z. M., & Shaharum, N. S. N. (2021). The use of Landsat-8 and Sentinel-2 imageries in detecting and mapping rubber trees. Journal of Rubber Research, 24(1), 121–135. https://doi.org/10.1007/s42464-020-00078-
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Copyright (c) 2024 Masita Dwi Mandini Manessa, Ariq Anggaraksa Riesnandar, Supriatna, Alhadi Bustamam, Devvi Sarwinda, Charlos Togi Stevanuse, Farida Ayu, Anisya Feby Efriana
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