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All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Gathot Winarso
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 PENGGUNAAN DATA INDERAJA UNTUK PEMETAAN GARIS PANTAI (STUDI KASUS PANTAI UTARA JAKARTA) Gathot Winarso; Haris Joko; Samsul Arifin
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.v6i1.3245

Abstract

Shore line is important to define seawater administration borders of a province, a district, and a city related to decentralization. The shore line can be extracted from remote sensing data. However, the definition of vertical datum reference for the shore line and low water level place are totally different. The sea water level position for shore line used in the hydrographic mapping is mean high sea level (MHSL), while the sea water level for shore line used in the geodetic mapping is mean sea level (MSL). However, remote sensing data were recorded in specific time that also have a specific sea water level, might be in a high or a low sea level depending on the location. Objectives of this research are to understand the position of the sea water level for the shore line mapping when the Landsat 7 is acquired and how to adjust to make a standard shore line definition. The landsat ETM+ composing of 543 (RGB) Maritime and Navigation Map of 1 : 50.000 scale were overlaid and compared in same condition of spheroid, datum, and projection system. In the area where there is no significant change due to the dynamic of coastal processes, the result of the overlaid image and map indicated that the shore line matched between each other. However, in the area where there are some indicated change, resulted on some differences between the shore line from the image and the map. The sea level position when the image was acquired was in high sea level and the image shore line was as same as the hydrographic shore line. There are two conditions when an image is acquired on a difference water level position. The shore line position would not change in area without 0 meter contour line and would change in area have 0 meter contour line. Adjustment should be made in the second condition.
KAJIAN PERUBAHAN GARIS PANTAI MENGGUNAKAN DATA SATELIT LANDSAT DI KABUPATEN KENDAL Muchlisin Arief; Gathot Winarso; Teguh Prayogo
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.v8i1.3253

Abstract

Indonesia has the second longest of coastal line in the world. The change of coastal line is generated by sediment transport from the upland and the sea or generated by coming energies of sea current and wave. Coastal line change have been analyzed by multi-temporal analysis using Landsat Series Satellite (MSS, TM and ETM+). Visual interpretation of RGB 542 was done to identify coastal line, and using other combination if necessary. Based on analysis of Landsat data the coastal lines length on 1972, 1991, 2001 and years 2008 was 43.172 m, 52.646 m, 50.171 m, 53.827 m, respectively, and the change of coastal lines occurred dominant along the capes and the bays and the other places was not significantly changed. Based on Landsat satellite data analysis, in 1972 to 1991 period the abrasion and accretion occurred on 765,14 ha and 356,00 ha area, in 1991 to 2001 period were 90,64 ha and 261,89 ha, in period 2001 to 2008 were 111,67 ha and 80,37 ha.
PENGARUH PENGAMBILAN TRAINING SAMPLE SUBSTRAT DASAR BERBEDA PADA KOREKSI KOLOM AIR MENGGUNAKAN DATA PENGINDERAAN JAUH Syarif Budhiman; Gathot Winarso; Wikanti Asriningrum
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 10 No. 2 (2013)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v10i2.3276

Abstract

Lyzen ga (1978, 1981) developed a method to correct the water column using a ratio of bottom waters substrates reflectance on 2 (two) different bands, assuming that the ratio is the same for a different bottom type. The problem arise when the Lyzenga method was being simplified. In this case by sampling different bottom substrates as input. This study aims to compare the effects of the simplification process with the result of the calculation using the actual Lyzenga method. The calculation of water column correction followed the process described in the guide by UNESCO (1999) and Green et al (2000). The results showed that samples from two different substrates which has a very different radiance (reflectance) increased the index value of the substrate in deeper water.
PEMANFAATAN DATA PENGINDERAAN JAUH UNTUK MENDUKUNG PERENCANAAN OPERASI KEAMANAN LAUT DI LAUT ARAFURU Gathot Winarso; Eko Kurniawan
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 11 No. 2 (2014)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v11i2.3305

Abstract

Large sea area has been patrolled continuly by Indonesia Navy need a lot of fleets to cover all Indonesian seawaters and also spend a huge of budget. Consequently, it is important to have smart strategic to optimise the fleet and to make efficient the logistic budget. The objective of this research is to apply remote sensing analysis to get sensitive timing operation on violation and security disturbance related to fishing activity. According to assumption that security threat might occur in the area where fishing activity is high that will be concentrated in the high productivity area. The chlorophyll-a concentration estimated from satellite data MODIS level-2 were received from NASA United State of America. Daily data from 2008-2013 was calculated into monthly average to get monthly variation of chlorophyll-a concentration within a year during 5 years. The analysis was done in general area and smaller unit area to understand the different variation at smaller area. The variation of chlorophyll-a in smaller unit area will differ the plan timing in patrol activity specific for those area. The data analysis resulted that phytoplankton bloom indicated occurred to May- September every year. The month of phytoplankton bloom can be suggested become a more intense patrol activity. In general, there are no different result from smaller unit area, but only small shifting of timing of bloom and changing of each different unit area.
ESTIMASI BATIMETRI DARI DATA SPOT 7 STUDI KASUS PERAIRAN GILI MATRA NUSA TENGGARA BARAT Kuncoro Teguh Setiawan; Masita Dwi Mandini Manessa; Gathot Winarso; Nanin Anggraini; Gigih Giarrastowo; Wikanti Asriningrum; Herianto Herianto; Syamsu Rosid; A. Harsono Supardjo
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.v15i2.3342

Abstract

Indonesia is an archipelagic state consists of five large islands and thousands of small islands surrounded by shallow marine waters. For this reason, complete and accurate bathymetric information is needed. Large scale bathymetry data in Indonesian waters is still limited, including in the shallow sea waters of Gili Matra, NTB Province. To overcome these problems, remote sensing technology is used. The aim of the study was to analyze the effect of shallow marine habitat base objects on estimating bathymetry from SPOT 7 satellite images. Many methods can be used to produce estimated bathymetry with this technology. The analysis used in this study is multiple linear regression (MLR). The data used is SPOT 7 satellite imagery in the shallow sea waters of Gili Matra, West Nusa Tenggara Province. The estimation of bathymetry was carried out using insitu depth data with two modifications. The first modification did not pay attention to the basic habitat object types and the second modification paid attention to the coral habitat, seagrass, macroalgae and substrate objects. The results of this study provide the value of determination R2 which increased from 72.1% to 78.6% and decreased the RMSE value from 3.3 meters to 2.9 meters.
PEMANFAATAN METODE SEMI-ANALITIK UNTUK PENENTUAN BATIMETRI MENGGUNAKAN CITRA SATELIT RESOLUSI TINGGI Kuncoro T. Setiawan; Gathot Winarso; Devica N. BR. Ginting; M.D.M. Manessa; Surahman Surahman; Nanin Anggraini; Maryani Hartuti; Wikanti Asriningrum; Ety Parwati
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.
Co-Authors A. Harsono Supardjo Devica N. BR. Ginting Eko Kurniawan Ety Parwati Gigih Giarrastowo Haris Joko Herianto Herianto Kuncoro T. Setiawan Kuncoro Teguh Setiawan M.D.M. Manessa Maryani Hartuti Masita Dwi Mandini Manessa Muchlisin Arief Nanin Anggraini Samsul Arifin Surahman Surahman Syamsu Rosid Syarif Budhiman Teguh Prayogo Wikanti Asriningrum