MAPPING THE DISTRIBUTION OF MANGROVE BY REMOTE SENSING IN THE COASTAL OF KARAWANG REGENCY
DOI:
https://doi.org/10.31258/Keywords:
Mangrove, Remote Sensing, Normalized Difference Vegetation IndexAbstract
Mangrove forest areas are generally found throughout the coast of Indonesia and grow in locations that have a tidal influence. At this time the condition of mangroves both qualitatively and quantitatively continues to decline from year to year. The decline in the quality of mangroves is a serious concern along with the shrinking of its area. The purpose of this study was to determine the condition and extent of mangrove distribution on the coast of Karawang Regency. The research was carried out on the coast of Karawang Regency from March to June 2021. The research method was carried out by survey methods and satellite data collection, to obtain field condition data and Landsat 8 satellite imagery data. Image data processing and analysis was carried out using the NDVI (Normalized Difference Vegetation Index) method which can create a boundary between mangrove and non-mangrove. With this method, it can be seen the changes in the mangrove distribution area from year to year. The results of data processing and analysis show that in 2013 the distribution of mangroves on the coast of Karawang Regency has an area of 207.88 km2, in 2016 it has an area of 357.22 km2 and in 2020 its area is 237.61 km2.
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References
1. Pranata, R., A.J. Patandean, A. Yani. (2014). Analisis Sebaran dan Kerapatan Mangrove Menggunakan Citra Landsat 8 di Kabupaten Maros. Jurnal Sains dan Pendidikan Fisika, 12 (1): 88-95. https://doi.org/10.35580/jspf.v12i1.2037
2. Muharam. (2014). Penanaman Mangrove Sebagai Salah Satu Upaya Rehabilitas lahan dan Lingkungan di Kawasan Pesisir Pantai Karawang. Jurnal Ilmiah Solusi, 1(1): 1–10. https://doi.org/10.35706/solusi.v1i01.36
3. Pasaribu, R., Liliek., Dian, S. (2019). Kajian Abrasi dan Sedimentasi dengan Teknologi Remote Sensing di Pantai Karawang. Jurnal Airaha, 8(2):137–147.
4. Winarso, G. (2018). Metode Cepat Pemantauan Hutan Mangrove Menggunakan (Rapid Method for Mangrove Forest Monitoring using Remote Sensing Data). Seminar Nasional Geomatika, 901–910.
5. Muzakki, S. A., Zeny, A., Mourniaty, A., Rahardjo, P., Triyono, H. (2021). Mapping and Evaluation of Mangrove Forest Health in Karawang Regency Using Multitemporal Landsat. Jurnal Kelautan dan Perikanan Terapan, 4(2), 137–143.
6. Purwanto, A. D., Asriningrum, W., Winarso, G., Parwati, E. (2014). Analisis Sebaran dan Kerapatan Mangrove Menggunakan Citra Landsat 8 di Segara Anakan, Cilacap. Seminar Nasional Penginderaan Jauh, 21(2): 232–241.
7. Noviantoro., Prasetyo, N., Sasmito, B., Prasetyo, Y. (2017). Area Studi : Kabupaten Semarang. Jurnal Geodesi, 6(3): 21–27.
8. Fikri, A.S., F. Setiawan, W.A. Violando, A.D. Muttaqin, F. Rahmawan. (2021). Analisis Perubahan Penutupan Lahan Menggunakan Google Earth Engine dengan Algoritma Cart (Studi Kasus: Wilayah Pesisir Kabupaten Lamongan, Provinsi Jawa Timur). Prosiding Forum Ilmiah Tahunan (FIT).
9. Husodo, T., Ali, T., Mardiyah, S.R., Shanida, S., Abdoellah, O.S., Wulandari, I. (2021). Perubahan lahan vegetasi berbasis citra satelit di DAS Citarum, Bandung, Jawa Barat. Majalah Geografi Indonesia, 35(1): 54-63. https://doi.org/10.22146/mgi.61217
10. Pasaribu, R.P., Irwan, A., Soeprijadi, L., Pattirane, C. (2020). Studi Alternatif Bangunan Pengaman Pantai di Pesisir Kabupaten Karawang. Pelagicus,1(2): 83–95. http://dx.doi.org/10.15578/plgc.v1i2.8875
11. Pratama, L.W., Isdianto, A. (2017). Mapping of Mangrove Forest Density in Segara Anakan , Cilacap, Central Java Using Landsat Image 8 at the National Aeronautics and Space Agency (Lapan), Jakarta. Jurnal Floratek 12(1): 57–61
12. Sitanggang, G. (2011). Kajian Pemanfaatan Satelit Masa Depan : Sistem Penginderaan Jauh Satelit LDCM ( Landsat-8 ). Berita Dirgantara, 11(2)
13. Julianto, F.D., D.P.D. Putri, H.H. Safi’i. (2020). Analisis Perubahan Vegetasi dengan Data Sentinel-2 menggunakan Google Earth Engine (Studi Kasus Provinsi Daerah Istimewa Yogyakarta). Jurnal Penginderaan Jauh Indonesia, 2(02).
