Model Penduga Biomassa Hutan Mangrove Menggunakan Citra Satelit Sentinel -2A di Kabupaten Rembang Jawa Tengah
DOI:
https://doi.org/10.55180/jwt.v13i2.1018Kata Kunci:
biomassa, mangrove, NDVI, Sentinel-2AAbstrak
Mangrove forest is one of the forests that has the highest carbon storage in the tropics and is very high compared to the average carbon storage in various other forest types in the world, which contains around 1.023 Mg of carbon per hectare. This study aims to obtain a model for estimating the biomass potential of mangrove forests in Rembang Regency by utilizing Sentinel-2A Satellite imagery and making a map of the distribution of mangrove forest biomass potential through the best equation model. Sampling was done by purposive systematic sampling method. The correlation test results obtained a value of 0.640 which states that there is a strong relationship between biomass and NDVI. Biomass estimation modeling uses equation models namely Linear, Quadratic, Power, and Exponential. Model selection is done by considering several parameters such as R², RMSE, Bias, χ²-hit, SA, and SR. The selected model for estimating mangrove forest biomass potential is the quadratic model ???? = 17.4 -110.2 ???????????????? + 220 ????????????????² with an R² value of 0.474, RMSE value of 51.55, Chi-square test result of 3.46 and has the highest score value. The potential biomass distribution map generated from the selected model consists of 3 classes, namely classes < 3.7 (tons/ha), 3.7-10.5 (tons/ha), 10.5-35.7 (tons/ha). Mangrove forests in Rembang Regency have dominant biomass potential in the 10.5-35.7 (tons/ha) class.
Referensi
Ahmaddien, I., & Yofy Syarkani. (2019). Statistika Terapan Dengan Sistem SPSS. ITB Press
Dharmawan, I. (2010). Pendugaan Biomassa Karbon Di Atas Tanah Pada Tegakan Rhizophora Mucronata di Ciasem, Purwakarta. Jurnal Ilmu Pertanian Indonesia, 15(1), 50–56.
Donato, et al. (2012). Mangrove adalah salah satu hutan terkaya karbon di kawasan tropis. CIFOR Brief, 13(12), 12.
Hairiah, K., & Rahayu, S. (2011). Pengukuran cadangan karbon : dari tingkat lahan ke bentang lahan. World Agroforestry Centre (ICRAF).
Huete, A. R., Didan, K., & Van Leeuwen, W. (1999). Modis Vegetation Index. Vegetation Index and Phenology Lab, The University of Arizona 3(1), 129.
Kauffman, J. B., & Donato, D. C. (2012). Protocols for the measurement, monitoring and reporting of structure, biomass and carbon stocks in mangrove forests. Center for International Forestry Research (CIFOR), Bogor. Working paper 86.
Kevin, V., Que, S., Prasetyo, Y. J., & Fibriani, C. (2019). Analisis Perbedaan Indeks Vegetasi Normalized Difference Vegetation Index (NDVI) dan Normalized Burn Ratio (NBR) Kabupaten Pelalawan Menggunakan Citra Satelit Landsat 8. Indonesian Journal of Modeling and Computing, volume 1–7.
Krisnawati, H., Adinugroho, W. C., & Imanuddin, R. (2012). Monograph Allometric Models for Estimating Tree Biomass at Various Forest Ecosystem Types in Indonesia. Pusat Penelitian dan Pengembangan Konservasi dan Rehabilitasi, Badan Penelitian dan Pengembangan Kehutanan, Bogor.
Pambudi, G. P. (2011). Biomass Estimation Several Age Classes of Rhizophora apiculata Bl. At Area of PT. Bina Ovivipari Semesta Kubu Raya District, West Kalimantan. Skripsi, Fakultas Kehutanan Institut Pertanian Bogor.
Risti, O., Arhatin, E., Prihatin, D., & Wahyuningrum, I. (2013). Algoritma Indeks Vegetasi Mangrove Menggunakan Satelit Landsat ETM+. Jurnal : Buletin PSP, 21(2), 215-228.
Royani, N. (2018). Analisis Persebaran Biomassa Hutan Mangrove Berdasarkan Korelasi Nilai Indeks Vegetasi Dengan Nilai Allometrik Biomassa (Studi Kasus : Teluk Lamong Surabaya). Tugas Akhir, Institut Teknologi Sepuluh November. Surabaya.
Sanderman, J. (2018). A global map of mangrove forest soil carbon at 30 m spatial resolution. Environmental Research Letters, 13(5).
Sutaryo, D. (2009). Penghitungan Biomassa: Sebuah pengantar untuk studi karbon dan perdagangan karbon. Wetlands International Indonesia Programme, Bogor.
Yancho, J. et al. (2020). The google earth engine mangrove mapping methodology (Geemmm). Journal Remote Sensing, 12(22), 1–35.
Yusandi, S. (2015). Model Penduga Biomassa Hutan Mangrove Menggunakan Citra Resolusi Sedang Di Areal Kerja Bsn Group Kalimantan Barat. Skripsi, Institut Pertanian Bogor.