Identifikasi Sebaran Spasial dan Kerapatan Mangrove Gili Lawang menggunakan Citra Landsat 9 OLI-2/TIRS-2: Identification Gili Lawang Mangrove Spatial Distribution and Density with Landsat 9 OLI-2/TIRS-2 Imagery

Andrie Ridzki Prasetyo; Niechi  Valentino; Muhammad Anwar Hadi

doi:10.29303/jstl.v9i2.450

Authors

Andrie Ridzki Prasetyo Program Studi Kehutanan, Fakultas Pertanian, Universitas Mataram
Niechi Valentino Program Studi Kehutanan, Fakultas Pertanian, Universitas Mataram
Muhammad Anwar Hadi Program Studi Kehutanan, Fakultas Pertanian, Universitas Mataram

DOI:

https://doi.org/10.29303/jstl.v9i2.450

Keywords:

gili lawang, mangroves, landsat 9 imagery, spatial distribution

Abstract

Mangrove ecosystems have a great influence on the sustainability of human life and the environment. The high level of vulnerability of mangrove ecosystems has implications for the importance of quality planning. This study aims to identify the spatial distribution and density of mangrove forests in Gili Lawang using Landsat 9 OLI-2/TIRS-2 satellite imagery. Data processing is done with the help of the QGIS 3.30 application. Data processing consists of band combinations, image classification with the SVM algorithm, classification results accuracy test, NDVI value extract, and reclass NDVI. The results showed that the use of band 564 in Landsat 9 imagery visually resulted in an increase in sharpness in identifying mangrove ecosystems. Classification of objects with the SVM algorithm has overall accuracy and kappa accuracy > 80%. The identified area of Gili Lawang is 432.72 ha, consisting of 37.89 ha of mangroves, 58.11 ha of non-mangrove and 3.75 ha of water bodies. NDVI values at the study sites ranged from 0.068 to 0.87. The maximum NDVI value is found in mangrove objects, while the minimum NDVI value is found in water body objects. Mangrove density in Gili Lawang is dominated by high and very high density. The use of Landsat 9 OLI-2/TIRS-2 imagery in the future is expected to provide positive benefits in providing data and information related to natural resources.

References

Acharya, T. D., Subedi, A., & Lee, D. H. (2018). Evaluation of water indices for surface water extraction in a Landsat 8 scene of Nepal. Sensors, 18(8), 2580.

Adiyoga, D., Hartati, R., & Setyati, W. A. (2020). Fluktuasi Ikan Karang di Kawasan Konservasi Laut Daerah Gili Sulat dan Gili Lawang, Lombok Timur, Nusa Tenggara Barat. Journal of Marine Research, 9(2), 175–180. https://doi.org/10.14710/jmr.v9i2.26894

Affonso, A. A., Mandai, S. S., Portella, T. P., Quintanilha, J. A., Conti, L. A., & Grohmann, C. H. (2023). A Comparison between Supervised Classification Methods: Study Case on Land Cover Change Detection Caused by a Hydroelectric Complex Installation in the Brazilian Amazon. Sustainability, 15(2), 1309.

Avianto, P. (2022). AMMI Automatic Mangrove Map and Index: Novelty for Efficiently Monitoring Mangrove Changes with the Case Study in Musi Delta, South Sumatra, Indonesia. International Journal of Forestry Research, 2022.

Choate, M. J., Rengarajan, R., Storey, J. C., & Lubke, M. (2022). Landsat 9 Geometric Characteristics Using Underfly Data. Remote Sensing, 14(15), 3781.

Dwiputra, M. A., & Mustofa, A. (2021). The Comparison of RGB 564 and RGB 573 Band Composite of Landsat 8 for Mangrove Vegetation Distribution Identification on Pahawang Island, Lampung. IOP Conference Series: Earth and Environmental Science, 830(1), 012017.

Dzaky, M., & Winaz, N. (2023). Analisis Spasial Temporal Sebaran Hutan Mangrove Menggunakan Citra Landsat 8. Cross-Border, 6(1), 621–639.

Firmansyah, S., Gaol, J. L., & Susilo, S. B. (2019). Perbandingan klasifikasi SVM dan Decision Tree untuk pemetaan mangrove berbasis objek menggunakan citra satelit Sentinel-2B di Gili Sulat, Lombok Timur. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (Journal of Natural Resources and Environmental Management), 9(3), 746–757.

Ginting, Y. R. S., Komarudin, G., & Carr, L. M. (2022). Study of Changes in Mangrove Forest Cover in Three Areas Located on The East Coast of North Sumatra Province Between 1990 And 2020. Journal of Tropical Forest Science, 34(4), 467–479.

Hilyana, S., Amir, S., & Waspodo, S. (2020). Kesesuaian Zonasi Pulau-Pulau Kecil: Studi Kasus Kawasan Konservasi Gili Sulat Gili Lawang Lombok Indonesia. Jurnal Sains Teknologi & Lingkungan, 6(2), 202–215.

Huda, H. M., & Sari, Y. D. (2017). Pemanfaatan dan Pengelolaan Kawasan Konservasi Laut Daerah Gili Sulat dan Gili Lawang. Jurnal Sosial Ekonomi Kelautan Dan Perikanan, 5(2), 129–144.

Karan, S. K., & Samadder, S. R. (2018). A comparison of different land-use classification techniques for accurate monitoring of degraded coal-mining areas. Environmental Earth Sciences, 77(20), 713.

Kristianingsih, L., Wijaya, A. P., & Sukmono, A. (2016). Analisis Pengaruh Koreksi Atmosfer Terhadap Estimasi Kandungan Klorofil-A Menggunakan Citra Landsat 8. Jurnal Geodesi Undip, 5(4), 56–64.

Kusuma, I. M. B. N., & Buchori, I. (2021). the Determination of Mangrove Degraded Land in Lembar District, Lombok Barat Regency Using Gis Application. Jurnal Pembangunan Wilayah Dan Kota, 17(1), 37–47. https://ejournal.undip.ac.id/index.php/pwk/index

Murniati, D. C. (2017). Crab communities (Decapoda: Brachyura) in mangrove and estuaries in the Eastern Part of Lombok Island. Journal of Biological Researches, 22(2), 81–89. https://doi.org/10.23869/bphjbr.22.2.20178

NTB. (2017). Laporan Utama Informasi Kinerja Pengelolaan Lingkungan Hidup Daerah (Ikplhd). Pemerintah Provinsi Nusa Tenggara Barat.

Nurhati IS dan Murdiyarso D. 2022. Strategi Nasional Pengelolaan Ekosistem Mangrove: Sebagai Rujukan Konservasi dan Rehabilitasi Kawasan Pesisir untuk Tujuan Pembangunan Berkelanjutan dan Pembangunan Rendah Karbon. Working Paper 10. Bogor, Indonesia: CIFOR.

Nurhayati, P., Emilzoli, M., & Fu’adiah, D. (2022). Peningkatan Keterampilan Penyusunan Modul Ajar Dan Modul Proyek Penguatan Profil Pelajar Pancasila Kurikulum Merdeka Pada Guru Madrasah Ibtidaiyah. JMM (Jurnal Masyarakat Mandiri), 6(5), 1–9. https://doi.org/10.31764/jmm.v6i5.10047

Patty, S. I., Nurdiansah, D., Rizqi, M. P., & Huwae, R. (2022). Analisis Sebaran dan Kerapatan Vegetasi Mangrove Menggunakan Citra Landsat 8 di Bolaang Mongondow Timur, Sulawesi Utara. Jurnal Ilmiah PLATAX, 10(2), 224. https://doi.org/10.35800/jip.v10i2.40841

Purwanto, A. D., & Asriningrum, W. (2019). Identification of mangrove forests using multispectral satellite imageries. International Journal of Remote Sensing and Earth Sciences, 16(1), 63–86.

Putra, R. D., Napitupulu, H. S., Nugraha, A. H., Suhana, M. P., Ritonga, A. R., & Sari, T. E. Y. (2022). Pemetaan Luasan Hutan Mangrove Dengan Menggunakan Citra Satelit Di Pulau Mapur, Provinsi Kepulauan Riau. Jurnal Kelautan Tropis, 25(1), 20–30.

Rizal, L. S. (2019). Identifikasi Jenis Mangrove Di Kawasan Konservasi Laut Daerah (KKLD) Gili Sulat–Gili Lawang Kabupaten Lombok Timur. JUPE: Jurnal Pendidikan Mandala, 4(5).

Rohim, M., Ridwan, I., & Fahruddin, F. (2021). Analisis Sebaran dan Kerapatan Hutan Mangrove Menggunakan Landsat 8 di Kabupaten Tanah Bumbu Kalimantan Selatan. Jurnal Natural Scientiae, 1(1).

Showstack, R. (2022). Landsat 9 Satellite Continues Half-Century of Earth Observations: Eyes in the sky serve as a valuable tool for stewardship. BioScience, 72(3), 226–232.

Simanjuntak, B. C., & Juliani, R. (2016). Aplikasi Citra Landsat 8 Oli Untuk Menganalisa Kerapatan Vegetasi Mangrove Di Pesisir Kabupaten Langkat. Jurnal Einstein Available, 4(1), 1–5.

Sobatnu, F., & Irawan, F. A. (2016). Kajian Tingkat Kerapatan Hutan Mangrove Menggunakan Teknologi Remote Sensing. Prosiding SNRT (Seminar Nasional Riset Terapan), 1, 80–89.

Tablaseray, V. E., Pairin, M. R. A., Fakdawer, N., & Hamuna, B. (2018). Pemetaan Sebaran dan Kerapatan Mangrove di Pesisir Timur Pulau Biak, Papua Menggunakan Citra Satelit Landsat 8. Jurnal Perikanan Dan Kelautan, 8(1), 31–39.

U.S. Geological Survey, 2019, Landsat 9 (ver. 1.3, August 2022): U.S. Geological Survey Fact Sheet 2019–3008, 2 p., https://doi.org/10.3133/fs20193008.

Tran, T. V, Reef, R., & Zhu, X. (2022). A Review of Spectral Indices for Mangrove Remote Sensing. Remote Sensing, 14(19), 4868.

Valentino, N., Latifah, S., Setiawan, B., Hidayati, E., Awanis, Z. Y., & Hayati, H. (2022). Karakteristik struktur komunitas makrozoobentos di perairan ekosistem mangrove Gili Lawang, Lombok Timur. Jurnal Belantara, 5(1), 119–130.

Wiguna, P. P. K., Sutari, N. W. S., Febriarta, E., Permatasari, A. L., Suherningtyas, I. A., Pulungan, N. A. H. J., Sukraini, T. T., & Gani, M. (2022). Spatial Analysis of Mangrove Distribution Using Landsat 8 Oli in Badung Regency and Denpasar City, Bali Province, Indonesia. Forum Geografi, 36(1).