Comparative Analysis Of Aqua MODIS and VIIRS Sensors In Mapping Chlorophyll-A Concentration and Sea Surface Temperature In The South Coast Of East Java
DOI:
https://doi.org/10.61132/ijiime.v1i3.42Keywords:
Chlorophyll-a, Sea Surface Temperature, Aqua MODIS, VIIRSAbstract
The South Coast of East Java is one of the areas that has marine and fisheries potential. This is utilized by local residents as a source of livelihood. To maximize this potential, it is necessary to know how the water quality in an area. The water quality of a water body can be known through the measurement of chlorophyll-a concentration and sea surface temperature with the help of remote sensing technology. This study aims to analyze the comparison of Aqua MODIS and VIIRS images on mapping chlorophyll-a concentration and sea surface temperature with the help of the SeaDAS application whose data is downloaded through the NASA oceancolor website. To map chlorophyll-a concentration and sea surface temperature, an analysis method using the most optimal mathematical model is needed. The results of the Aqua MODIS satellite image chlorophyll-a concentration research in the year (2020-2024) in the South Coast of East Java has an average of 0.24282 mg/m3, 0.19144 mg/m3, 0.51777 mg/m3, 0.37524 mg/m3, and 4.0542 mg/m3. The highest average chlorophyll-a concentration value of Aqua MODIS satellite imagery occurred in May 2024. This condition indicates that the water quality in the South Coast of East Java is low. While the chlorophyll-a concentration of VIIRS satellite images in the year (2020-2024) in the South Coast of East Java has an average of 0.23197 mg/m3, 0.31974 mg/m3, 0.19304 mg/m3, 0.38974 mg/m3, and 1.58583 mg/m3. The highest average chlorophyll-a concentration value of VIIRS satellite imagery occurred in May 2024. This condition indicates that the water quality in the South Coast of East Java is low.
References
Arifin, R. (2009). Sebaran spasial dan temporal biomassa fitoplankton (klorofil-a) serta keterkaitannya dengan kesuburan perairan estuari Sungai Brantas, Jawa Timur. Program Studi Manajemen Sumberdaya Perairan, Fakultas Perikanan dan Ilmu Kelautan, Institut Pertanian Bogor.
Barus, B., & Wiradisastra, U. S. (2000). Sistem informasi geografi sarana manajemen sumber daya. Laboratorium Penginderaan Jauh dan Kartografi, Jurusan Tanah, Fakultas Pertanian, Institut Pertanian Bogor. Bogor.
Colwell, R. N. (1984). The visible portion of the spectrum. In Remote sensing of environment (pp. xx-xx). Addison-Wesley Publishing Company.
Gistut. (1994). Sistem informasi geografis. Gramedia Pustaka Utama.
Lillesand, T. M., & Kiefer, R. W. (1979). Remote sensing and image interpretation (6th ed.). New York. Retrieved from https://www.geokniga.org/bookfiles/geokniga-remote-sensing-and-image-interpretation.pdf
Mursyidin, M., Munadi, K., & Z.A., M. (2015). Prediksi zona tangkapan ikan menggunakan citra klorofil-a dan citra suhu permukaan laut satelit Aqua MODIS di perairan Pulo Aceh. Jurnal Rekayasa Elektrika. https://doi.org/10.17529/jre.v11i5.2973
Nababan, B., Sihombing, E. G. B., & Panjaitan, J. P. (2022). Variabilitas suhu permukaan laut dan konsentrasi klorofil-a di Samudera Hindia bagian timur laut, Barat Sumatera. Jurnal Teknologi Perikanan dan Kelautan. https://doi.org/10.24319/jtpk.12.143-159
Parson, A. J. (1985). Principles of remote sensing. By P. J. Curran. International Journal of Remote Sensing. https://doi.org/10.1080/01431168508948322
Putri, A. N., Wibisana, H., & Aryaseta, B. (2020). Pemilihan model matematika yang terbaik pada pemetaan suhu permukaan laut di pesisir Jember dengan data citra satelit Aqua MODIS. KERN: Jurnal Ilmiah Teknik Sipil.
Sihombing, R. F., Aryawati, R., & Hartoni. (2013). Kandungan klorofil-a fitoplankton di sekitar perairan Desa Sungsang, Kabupaten Banyuasin, Provinsi Sumatera Selatan. Maspari Journal. https://doi.org/10.56064/maspari.v5i1.1295
Sukojo, B. M., Pratomo, G., & Jaelani, L. M. (2009). Studi perubahan suhu permukaan laut dalam rangka pembuatan sistem informasi kelautan (Studi kasus: Pembuangan lumpur Lapindo di Selat Madura). Retrieved from https://iptek.its.ac.id/index.php/geoid/article/view/7320
Sukresno, B. (2008). Pengolahan data satelit NOAA-AVHRR untuk mengukur suhu permukaan laut rata-rata harian. Balai Riset dan Observasi Kelautan, Pusat Riset Teknologi Kelautan (BRKP), Departemen Kelautan dan Perikanan.
Syah, A. F. (2010). Penginderaan jauh dan aplikasinya di wilayah pesisir dan lautan. Jurnal Kelautan, Madura. Retrieved from https://journal.trunojoyo.ac.id/jurnalkelautan/article/view/838/737
Wibisana, H., Sukojo, B. M., & Lasminto, U. (2018). Penentuan model matematis yang optimal suhu permukaan laut di pantai utara Gresik berbasis nilai reflektan citra satelit Aqua MODIS. Geomatika. https://doi.org/10.24895/jig.2018.24-1.771
Zainab, S., Wibisana, H., & Casita, C. B. (2019). Studi perbandingan konsentrasi klorofil-a di Semenanjung Blambangan, Kabupaten Banyuwangi menggunakan data citra satelit Aqua MODIS. Geomatika. https://doi.org/10.24895/jig.2019.25-1.889
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 International Journal of Industrial Innovation and Mechanical Engineering

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.