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PEMANFAATAN METODE SEMI-ANALITIK UNTUK PENENTUAN BATIMETRI MENGGUNAKAN CITRA SATELIT RESOLUSI TINGGI Setiawan, Kuncoro T.; Winarso, Gathot; Ginting, Devica N. BR.; Manessa, M.D.M.; Surahman, Surahman; Anggraini, Nanin; Hartuti, Maryani; Asriningrum, Wikanti; Parwati, Ety
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 18 No. 1 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v18i1.3361

Abstract

Semi-Analytical methods for detecting bathymetry using medium resolution satellite image data is the development of methods for determining satellite-based bathymetry. This method takes into account the principle of the propagation of light waves in water and the intensity of incident light which decreases according to the increase in depth traversed. The satellite image used is SPOT 7. The image is the latest generation of SPOT satellites which have 4 multispectral channels with a spatial resolution of 6 meters. Therefore, this high-resolution image is expected to produce bathymetry in shallow marine waters more accurately. Semi-analytical methods used to detect bathymetry are Benny and Dawson's methods. This method uses a comparison of the reflectance value between deep water and shallow water by taking into account the approach of the water column attenuation coefficient and the elevation angle of the satellite. The purpose of this study is to detect bathymetry in shallow sea waters. The study area is Karimunjawa Island coastal waters, Jepara, Central Java. The data used is the SPOT 7 acquisition image dated 18 May 2017 has been analysed, in situ depth data as well as tide data. The results showed that off the three SPOT 7 channels, the depth range of 0 - 11.45 meters for the blue channel band, 0 - 10.49 meters for the green channel and 0 - 9.72 meters for the channel red. The accuracy of the bathymetry detection results from the green channel shows quite good results to a depth of less than 5 meters. Green channel parameters of the Benny Dawson algorithm used are 0.3274 for Ld, 0.8932 for Lo, attenuation coefficient of 0.823 and Cosec E '0.6311272.
KESESUAIAN WILAYAH BUDI DAYA IKAN KERAPU BERDASARKAN CITRA SATELIT LANDSAT-8 OPERATIONAL LAND IMAGER (OLI)/THERMAL INFRARED SENSOR (TIRS) (STUDI KASUS PERAIRAN KECAMATAN GEROKGAK, KABUPATEN BULELENG, PROVINSI BALI) Azizah, Febiana Nur; Afgatiani, Pingkan Mayestika; Adawiah, Syifa Wismayanti; Anggraini, Nanin; Ginting, Devica Natalia Br; Patwati, Ety; Asriningrum, Wikanti
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 18 No. 1 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v18i1.3364

Abstract

he waters in Gerokgak District are one of the aquatic region in Indonesia that have potential as regional land for the development of aquaculture, one of which is grouper cultivation. To increase the potential of grouper cultivation, it is necessary to know the right location of grouper cultivation. This study applies a method using an overlay between oceanographic parameters, namely sea surface temperature (SST), salinity, chlorophyll, and Total Suspended Solid (TSS). In addition, this study also uses a remote sensing approach by utilizing Landsat-8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) satellite imagery data. The results of this study indicate that the waters in the Teluk Penerusan, Gerokgak District, Bali have waters that are suitable for grouper cultivation. Based analysis result between the values of sea surface temperature and chlorophyll with in situ values, it shows good accuracy with values of R2 = 0,661; 0,686 for chlorophyll in situ, and 0,658 for TSS with in situ.
ESTIMASI DAERAH POTENSI PENANGKAPAN IKAN BERDASARKAN PENDEKATAN KESESUAIAN AREA THERMAL FRONT DAN AREA MESOTROPIK Suhadha, Argo Galih; Asriningrum, Wikanti
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 12 No. 2 (2020): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.v12i2.28305

Abstract

Zona potensi penangkapan ikan (ZPPI) telah mengalami banyak pengembangan salah satunya adalah pemilihan kesesuaian parameter. Thermal front telah menjadi parameter utama dalam input informasi ZPPI LAPAN. Akurasi informasi thermal front yang digunakan sebagai input ZPPI tidak dapat diketahui dengan pasti signifikansinya karena faktor jarak informasi titik ZPPI terhadap lokasi tangkapan sehingga diperlukan pengembangan parameter untuk mendukung informasi thermal front tersebut. Thermal front merupakan daerah pertemuan dua massa air yang memiliki karakteristik suhu yang berbeda dan mengindikasikan kemunculan upwelling. Penelitian ini bertujuan untuk menentukan daerah potensi penangkapan ikan dengan pendekatan kesesuaian area thermal front dengan area mesotropik (konsentrasi klorofil-a 0,2-0,5 mg/m3). Data klorofil-a untuk deteksi area mesotropik dan suhu permukaan laut untuk thermal front berasal dari satelit Aqua MODIS di Google Earth Engine (GEE). Metode kesesuaian thermal front terhadap area mesotropik digunakan dalam analisis daerah potensi penangkapan ikan. Hasil penelitian menunjukkan bahwa thermal front dan area mesotropik di WPPNRI 715 memiliki variasi terhadap musim, dengan bulan Desember sebagai puncak kejadian. Kedua parameter tersebut terdistribusi secara merata mulai dari area pesisir hingga laut lepas. Dari metode ini didapatkan thermal front yang memiliki kesesuaian area (bertampalan) terhadap area mesotropik sebesar 60,3%. Selain itu kelas ZPPI dengan tingkat kepercayaan tinggi memiliki jumlah lebih dari 50% ZPPI moderate, dimana jumlah tersebut sesuai ambang batas yang dapat diterima. Sehingga peningkatan akurasi lokasi ZPPI baik di pesisir maupun laut lepas dapat ditentukan melalui pendekatan ini.