Observation of Fish Dissemination Pattern on Madura Coastal Using Segmentation of Satellite Images

  • Citra Nurina Prabiantissa Politeknik Elektronika Negeri Surabaya
  • Achmad Basuki Politeknik Elektronika Negeri Surabaya
  • Wahjoe Tjatur Sesulihatien Politeknik Elektronika Negeri Surabaya
Keywords: Fish Dissemination, K-Means, Lagrange Interpolation, Segmentation, Satellite Images

Abstract

Almost traditional fishermen still use manual methods to catch fish that rely on experience in fishing and information among fellow fishermen. This method is not effective for maximizing fish production. A good pattern or strategy is needed to increase fish production. In determining dissemination pattern of fish, it can be predicted from physical parameters such as temperature, salinity, chlorophyll, turbidity, total suspended solids, and colored dissolved organic matter using the Landsat 8 images.  This research area is on the Island of Madura Coast. The pattern is determined by using Lagrange Interpolation and clustering using K-Means. The results of the study of the pattern of fish dissemination were then validated with data from the Dinas Kelautan dan Perikanan Jawa Timur. The results between fish patterns and validation data in 2015 showed similarities in January, February, March, May, June, July, August, September. In 2016, results between fish patterns and validation data showed that similarities in July, August, September, and December. In 2017, results between fish patterns and validation data showed similarities in November. 2015 has the most similarities between the patterns and validation data and the least similarity are 2017.

References

Planque B, Loots C, Petitgas P, Lindstrøm U, Vaz S, Understanding what controls the spatial distribution of fish populations using a multi-model approach, Fish Oceanography, Vol. 20, No. 1, pp. 1–17, 2011.

Solanki HU, Mankodi PC, Nayak SR, Somvanshi VS, Evaluation of remote-sensing-based potential fishing zones (PFZs) forecast methodology, Cont Shelf Res, Vol. 25, No. 18, pp. 2163–2173, 2005.

Pillar TVR, Aquaculture principles and practice, Fishing News Books, Blackwell Science, Oxford, UK, Ed. 2, pp. 575, 2005.

Fitrianah D, Hidayanto AN, Gaol JL, Fahmi H, Arymurthy AM, A Spatio-Temporal Data-Mining Approach for Identification of Potential Fishing Zones Based on Oceanographic Characteristics in the Eastern Indian Ocean, IEEE Journal of Selected Topic in Applied Earth Observations and Remote Sensing, Vol. 9, No. 8, pp. 3720–3728, 2016.

Nurdin S, Mustapha MA, Lihan T, Ghaffar MA, Determination of potential fishing grounds of Rastrelliger kanagurta using satellite remote sensing and GIS technique, Sains Malaysiana, Vol. 44, No. 2, pp. 225–232, 2015.

Ruiz-Verd A, Jimenez JC, Lazzaro X, Tenjo C, Delegido J, Pereira M, et al, Comparison of MODIS and Landsat-8 retrievals of Chlorophyll- A and water temperature over Lake Titicaca, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 7643–7646, 2016.

Syariz MA, Jaelani LM, Subehi L, Pamungkas A, Koenhardono ES, Sulisetyono A, Retrieval of sea surface temperature over Poteran Island water of Indonesia with Landsat 8 TIRS image: A preliminary algorithm, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 87–90, 2015.

Badruddin, Segmentasi Citra Satelit Untuk Menentukan Potensi Budidaya Rumput Laut Di Selat Madura, D4 Final Project, EEPIS (Surabaya), 2017.

Balaguru B, Ramakrishnan SS, Vidhya R, Thanabalan P, A comparative study on utilization of multi-sensor satellite data to detect Potential Fishing Zone (PFZ), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, pp. 1017–26, 2014.

Nybakken JW, Marine Biology: An Ecological Approach, Harpercollins College Div, Ed. 4, pp. 280-301, 2005.

Ranhotra SS, Detection of Salinity of Sea Water using Image Processing Techniques, Asia-Pacific Conference on Computer Aided System Engineering (APCASE), 2014.

Son YB, Gardner WD, Richardson MJ, Ishizaka J, Ryu JH, Kim SH, et al, Tracing offshore low-salinity plumes in the Northeastern Gulf of Mexico during the summer season by use of multispectral remote-sensing data, Journal of Oceanography, Vol. 68, No. 5, pp. 743–760, 2012.

Muhammad Fauzi, Pramaditya Wicaksono, Total Suspended Solid ( TSS ) Mapping of Wadaslintang Reservoir Using Landsat 8 OLI Total Suspended Solid ( TSS ) Mapping of Wadaslintang Reservoir Using Landsat 8 OLI, IOP Conference Series : Earth and Enviromental Science, Vol. 47, No. 1, 2016.

Nguyen Hao Quang, Jun Sasaki, Hiroto Higa, Nguyen Huu Huan, Spatiotemporal variation of turbidity based on Landsat 8 OLI in Cam Ranh Bay and Thuy Trieu Lagoon, Vietnam. Water (Switzerland), Vol. 9, No. 8, pp. 570, 2017.

Chen J, Zhu W, Tian YQ, Yu Q. Estimation of Colored Dissolved Organic Matter From Landsat-8 Imagery for Complex Inland Water : Case Study of Lake Huron. IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 4, pp. 2201-2212, 2017.

Muhammad Syifa'ul Mufid, Tahiyatul Asfihani, Lukman Hanafi, On The Lagrange Interpolation of Fibonacci Sequence, International Journal of Computing Science and Applied Mathematics, Vol. 2, No. 3, pp.38–40, 2016.

Kalyani C, Ramudu K, Reddy GR, A review on optimized K-means and FCM clustering techniques for biomedical image segmentation using level set formulation, Biomedical Research, Vol. 29, No. 20, pp. 3660–3668, 2018.

S. Angel and S. Sheppard, The dynamics of global urban expansion, The World Bank, 2005.

A. Nontji, Laut Nusantara, Djambatan, 1987.

Y. Sakuno and H. Kunii, Chlorophyll-a estimation in Lake Shinji from Landsat-8 OLI data using Linear Combination Index (LCI) algorithm, IEEE International Geoscience and Remote Sensing Symposium, Vol. 2015, pp. 715–718, 2015.

Tita Karlita, Achmad Basuki, Lakmi Makarti, Mobile Application to Identify Indonesian Flowers on Android Platform, EMITTER International Journal of Engineering Technology, Vol. 1, No. 1, pp. 96 - 106, 2013.

Tessy Badriyah, Hybrid Modelling KMeans - Genetic Algorithms in the Health Care Data, EMITTER International Journal of Engineering Technology, Vol. 2, No. 1, pp. 63 - 74, 2014.

Ali Ridho Barakbah, Kohei Arai, Centronit : Initial Centroid Designation Algorithm for K-Means Clustering, EMITTER International Journal of Engineering Technology, Vol. 2, No. 1, pp. 50 - 62, 2014.

Published
2019-06-15
Section
Articles