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All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Marendra Eko Budiono, Marendra Eko
Pusat Teknologi dan Data - LAPAN
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Journal : Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital

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MODIFIKASI DIGITAL ELEVATION MODEL (DEM) CITRA RESOLUSI TINGGI MENGGUNAKAN FUSI INTERFEROMETRI SAR DAN STEREOSAR BERBASIS FAKTOR PEMBOBOTAN Dyatmika, Haris S.; Arief, Rahmat; Sudiana, Dodi; Ali, Shadiq; Maulana, Rachmat; Budiono, Marendra Eko
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 15 No. 2 (2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v15i2.3343

Abstract

SAR satellite sensors are capable to measure elevation of the earth surface using interferometry (InSAR) or radargrammetry (StereoSAR) methods. The InSAR method utilizes phase value from SAR images, while the StereoSAR uses amplitude value to produce elevation of the earth surface. Both methods have advantages and disadvantages on each own. Problems with low accuracy on DEM generated using InSAR occur on shadow and layover area, while in the second method (StereoSAR) the problem arise when cross correlation between the two images have low value. This paper proposes a technique to combine InSAR and StereoSAR methods to generate DEM using high resolution SAR images. A pair of TerraSAR-X or TanDEM-X images with a 21 degree incidence angle are used in this study and processed using the InSAR method and another pair of images at an angle of 21 degrees and 41 degrees using the StereoSAR method in Bandung and surrounding areas. The experimental results show that the fusion DEM of the two methods have better accuracy and decrease the absolute error both from InSAR and StereoSAR technique methods that separately around 3.48 m and 1.80 m.
Analisis Perubahan Tutupan Lahan dari Citra TerraSAR-X Menggunakan Metode Analisis Texture dan Segmentasi di Jakarta Dyatmika, Haris Suka; Sari, Inggit Lolita; Muchsin, Fadila; Indriasari, Novie; Budiono, Marendra Eko
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 17 No. 1 (2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v17i1.3360

Abstract

Rapid urban growth in Jakarta is indicated by the increases of building area, such as settlements, roads, commercial and others. Identification of land cover extent and its changes is a vital data for urban planning. One method for land cover mapping and its changes is obtained by the utilization of remote sensing data that characterize as having a continuity data, covers a vast area, and cost-effective. Remote sensing data can be obtained from optical and radar imagery. Radar data importance for mapping land cover and land cover changes because radar data does not constrain by time and weather. In early 2018, the TerraSAR-X (TSX) data can be acquired at the LAPAN Parepare ground station. This research uses the TSX Stripmap image mode with a spatial resolution of 3 m in 2010 and 2013. The TSX data will be used to map the land cover and land cover changes in Jakarta using method of the texture analysis and image segmentation. The accuracy assessment of the map will be assessed visually and quantitatively using the Pleiades images (0.5 m) and Google Earth images. The results show that the TSX images detect the current developments of settlements, new roads construction and provide information on the loss of green open space in Jakarta.
Co-Authors Ali, Shadiq Dodi Sudiana Dyatmika, Haris S. Haris Suka Dyatmika, Haris Suka Inggit Lolita Sari, Inggit Lolita Muchsin, Fadila Novie Indriasari, Novie Rachmat Maulana Rahmat Arief, Rahmat