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All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Mahdi Kartasasmita
Indonesian National Institute of Aeronautics and Space (LAPAN)
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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KAJIAN KOREKSI TERRAIN PADA CITRA LANDSAT THEMATIC MAPPER (TM) Bambang Trisakti; Mahdi Kartasasmita; Kustiyo Kustiyo; Tatik Kartika
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 6 No. 1 (2009)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v6i1.3239

Abstract

Terrain correction is used to minimize the shadow effect due to variation of earth’s topography. So, the process is very useful to correct the distortion of the pixel value at the mountainous area in the satellite image. The aim of this paper is to study the terrain correction process and its implementation for Landsat TM. The algorithm of the terrain correction was built by determining the pixel normal angle which is defined as an angle between the sun and surface normal directions. The calculation of the terrain correction needs the information of sun zenith angle, sun elevation angle (obtained from header data), pixel slope, and pixel aspect derived from digital elevation model (DEM). The C coefficient from each band was determined by calculating the gradient and the intercept of the correlation between the Cos pixel normal angle and the pixel reflectance in each band. Then, the Landsat TM image was corrected by the algorithm using the pixel normal angle and C coefficient. C Coefficients used in this research were obtained from our calculation and from Indonesia National Carbon Accounting System (INCAS). The result shows that without the C coefficient, pixels value increases very high when the pixel normal angle approximates 90°. The C coefficient prevents that condition, so the implementation of the C coefficient obtained from INCAS in the algorithm can produce the image which has the same topography appearance. Further, each band of the corrected image has a good correlation with the corrected band from the INCAS result. The implementation of the C coefficient from our calculation still needs some evaluation, especially for the method to determine the training sample for calculating the C coefficient.
PENENTUAN HUBUNGAN ANTARA SUHU KECERAHAN DATA MTSAT DENGAN CURAH HUJAN DATA QMORPH Parwati Parwati; Suwarsono Suwarsono; Kusumaning Ayu DS; Mahdi Kartasasmita
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 6 No. 1 (2009)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v6i1.3242

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DAMPAK PERUBAHAN KAWASAN HUTAN MENJADI AREAL INDUSTRI BATUBARA TERHADAP KUALITAS AIR DI SEPANJANG DAS BERAU–KALIMANTAN TIMUR Ety Parwati; Kadarwan Soewardi; Tridoyo Kusumastanto; Mahdi Kartasasmita; I Wayan Nurjaya
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 8 No. 1 (2011)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v8i1.3252

Abstract

The study of landused change: forest area become coal industrial area and its impact in Total Suspended Solid is done by remote sensing data. The different combination channel of remote sensing data are taken to extract landuse and Total Suspended Solid (TSS) spatial information. The supervised classification is used for land used spatial extraction and otherwise for TSS, there is a specific algorithm; TSS = 3.8926 * exp (31.417*Red Band). The result showed that there was the relationship between landuse change from forest into coal industrial, shrub, paddy field, bareland and settlement area and the dynamic change of TSS along Berau watershed.
Co-Authors Bambang Trisakti Ety Parwati I Wayan Nurjaya Kadarwan Soewardi Kustiyo Kustiyo Kusumaning Ayu DS Parwati Parwati Suwarsono Suwarsono Tatik Kartika Tridoyo Kusumastanto