SEBUAH ALGORITMA POHON KEPUTUSAN UNTUK KLASIFIKASI CITRA SATELIT AQUA MODIS

Rina Luciane Manuhutu, Riana Debora Hutagalung

Abstract


The satellite image processing for the environmental eksploration requires data accuracy which implied in every pixel of image so that required an appropriate technique of classification. The suitable classification is decition tree classification technique. Research about decition tree classification for classification data of satellite image have done and also research about Aqua MODIS satellite image processing for environmental exploration, but the decition tree classification technique is not developed yet for the classification of Aqua MODIS satellite data image. In this research, an algorithm decition tree classification method for data processing of Aqua MODIS satellite image to determine sea surface temperature classification is developed. A case study conducted at territorial Moluccas waters. The result of this research show that mean of accuration data classification of sea surface temperature is 97.6%


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References


. Hakim DM, Wikantika K, Widiadnyana N, Napitu AM, Darmawan S. The Identification of Fishing Ground Area with MODIS Satellite Image (Case Study: South Coast of West Java). ITB Journal of Engineering Science. 2006; 38(2): 147-158.

. Khalil I. Seasonal and spatial variability of Sea Surface Temperature (SST) and Chlorophyll-a concentration using MODIS data in East Kalimantan waters, Indonesia. Thesis. Netherlands: International Institute for Geo-Information Science and Earth Observation; 2007.

. Irmadi N, Bahar K, Nurlaila, F. Pemanfataan Data Aqua Modis Untuk Pengkajian Pendugaan Hasil Tangkapan Ikan Pelagis Besar (Tongkol dan Cakalang) Di Perairan Teluk Palabuhanratu, Kabupaten Sukabumi. Proceeding Geo-Marine Research Forum. 2007: 71-82.

. Fahmi, PR. Prediksi Awal Daerah Potensi Ikan Pelagis (Analisa Digital Citra Satelit Aqua MODIS) Di Samudera Hindia Wilayah Daerah Istimewa Yogyakarta dan Jawa Tengah. Thesis. Yogyakarta:Universitas Gadjah Mada; 2007.

. Sarapang RN. Penentuan Zona Potensial Penangkapan Ikan menggunakan citra satelit MODIS. Thesis. Bandung: ITB; 2006.

. Suwargana N, Arief M, Hamzah S. Penentuan Suhu Permukaan Laut dan Kosentrasi Klorofil untuk pengembangan model Prediksi SST dengan menggunakan data MODIS. Jurnal Penginderaan Jauh dan Pengolahan data Citra Digital. 2004; 1(2): 1-16.

. Wijaya J, Arif I. Distribusi Horisontal Suhu Permukaan Laut dan Produktivitas Primer Perairan Teluk Banten, Provinsi Banten. Proceeding Geo-Marine Research Forum. Bogor. 2007: 157-170.

. Safavian, Landgrebe. A Survey of Decition Tree Classifier Methodology. IEEE Transaction on System, Man, and Cybernetics. 1991; 21(3): 660-670.

. Mahesh P, Mather PM. Decition Tree Based Classification of Remotely Sensed Data. 22nd Asian Conference on Remote Sensing. Singapore. 2001.

. Xian G, Zhiliang Z. Application of Decision-Tree Techniques to Forest Group and Basal Area Mapping Using Satellite Imagery and Forest Inventory Data. Proceedings of Commission I/FIEOS Conference. Amerika. 2002.

. Brown OB, Minnet PJ. MODIS Infrared Sea Surface Temperature Algorithm. Algorithm Theoretical Basis Document (MOD25). Edisi 2. Miami. University of Miami. 1999.

. Arsjad S, Siswantoro Y, Sari DR. Sea Surface Temperature (Suhu Permukaan Laut Wilayah Indonesia). Cibinong: Pusat Survey Sumber Daya Alam Laut-Bakorsultanal. 2004.




DOI: http://doi.org/10.12928/telkomnika.v8i2.614

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