MAPPING THE DISTRIBUTION OF MANGROVE BY REMOTE SENSING IN THE COASTAL OF KARAWANG REGENCY
Abstract
Mangroves are forest vegetation that grows between tidal lines so that mangrove forests are also called tidal forests. Mangrove ecosystems have high biodiversity. The mangrove ecosystem has a physical function to protect the coast from abrasion and erosion, this ecosystem also has ecological and economic value. 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 data used is primary data by directly observing the research location and secondary data using remote sensing data from the Landsat 8 satellite. Image data processing and analysis is 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.
Downloads
References
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
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
Pasaribu, R., Liliek., Dian, S. (2019). Kajian Abrasi dan Sedimentasi dengan Teknologi Remote Sensing di Pantai Karawang. Jurnal Airaha, 8(2):137–147.
Winarso, G. (2018). Metode Cepat Pemantauan Hutan Mangrove Menggunakan (Rapid Method for Mangrove Forest Monitoring using Remote Sensing Data). Seminar Nasional Geomatika, 901–910.
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.
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 2014, 21 April 2, 232–241.
Noviantoro., Prasetyo, N., Sasmito, B., Prasetyo, Y. (2017). Area Studi : Kabupaten Semarang. Jurnal Geodesi, 6(3): 21–27.
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).
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
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
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
Sitanggang, G. (2011). Kajian Pemanfaatan Satelit Masa Depan : Sistem Penginderaan Jauh Satelit LDCM ( Landsat-8 ). Berita Dirgantara, 11(2)
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).
Copyright (c) 2022 Roberto Patar Pasaribu, Aris Kabul Pranoto, Roni Sewiko, Elfa Afwafiah
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors submitting manuscripts should understand and agree that the copyright of manuscripts of the article shall be assigned/transferred to the "Asian Journal of Aquatic Sciences". This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivatives 4.0 International License, where Authors and Readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform or build upon the material, you must distribute your contributions under the same license as the original.