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Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
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Search results for , issue " Vol 6, (2009)" : 8 Documents clear
KAJIAN PENGGUNAAN DATA INDERAJA UNTUK PEMETAAN GARIS PANTAI (STUDI KASUS PANTAI UTARA JAKARTA) Winarso, Gathot; Joko, Haris; Arifin, Samsul
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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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 defferent. 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+ compositing 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. Key word: Shore line, Landsat
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Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2009.v6.a1959

Abstract

KAJIAN KOREKSI TERRAIN PADA CITRA LANDSAT THEMATIC MAPPER (TM) Trisakti, Bambang; Kartasasmita, Mahdi; Kustiyo, -; Kartika, Tatik
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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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 algoritm 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 900. 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. Keywords: Terrain correction, Pixel normal angle, C coefficient, Landsat TM
MODEL SIMULASI LUAPAN BANJIR SUNGAI CILIWUNG DI WILAYAH KAMPUNG MELAYU–BUKIT DURI JAKARTA, INDONESIA Yulianto, Fajar; Marfai, Muh Aris; Parwati, -; Suwarsono, -
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Jakarta is the biggest city in Indonesia located in the north-western of Java Island and between 5º59’–6º00’S and 106º30’–107º00’E. The total area is approximately 661,52 km2, and the population is more than 9 million in 2008. The occurrence of many flood in Jakarta had caused loss in properties, environmental degradations, and warsen communities health. A spatial approach model is applied to understand the effects of flood to land use in the research area. Objectives of the research are : 1) to create the hazard assessment model and 2) to calculate the impact of flood to the land use area. The methods consist of neighbourhood operation application development in the form of raster pixel calculation, in this case are the Digital Elevation Model values, by using mathematic calculation formula to assign the inundated area. Land uses, either the inundated or others, are the result of imagery data interpretations. Results of the research show that the simulation model represent the condition in the field when flood happened maximum scenario for inundation area of 2,00 m will affect to about 5,10 Ha (regular settlements); 80,82 Ha (irregular settlements); 2,22 Ha (open areas); 5,09 Ha (business areas); 40,39 Ha (office areas) and 18,83 (roads). Key words: Ciliwung flood, DEM, Iteration spatial model, GIS, Remote sensing
PEMANFAATAN DATA MODIS UNTUK IDENTIFIKASI DAERAH BEKAS TERBAKAR (BURNED AREA) BERDASARKAN PERUBAHAN NILAI NDVI DI PROVINSI KALIMANTAN TENGAH TAHUN 2009 Suwarsono, -; Yulianto, Fajar; Parwati, -; Suprapto, Totok
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Land and forest fire are the natural disasters that often occur in Indonesian regions, especially Sumatera and Kalimantan. The disasters cause deep impacts to environments and human beings, so it is necessary to conduct mitigation. The research area took place in Central Kalimantan Province. The objective of the research is to applicate the MODIS remote sensing imagery for supporting the land and forest fire mitigation efforts, that is identifying the burned area. The analyzing is done by using methods of NDVI changes before and after land and forest burned periods in 2009 . The stages of the research consist of; fire hotspot frequency analyzing, NDVI changes calculation, threshold of NDVI changes establishing, and burned area estimation based on the threshold result. The results of the research show that the burned area in Central Kalimantan can be identified by using MODIS based on NDVI changes. The total numbers of burned area in 2009 are 122.900 hectares, most of them occured in Pulangpisau, Kapuas, Katingan and Kotawaringin District. The results are needed to be verified in the next further research based on the field survey and or by using the high resolution imageries such as Landsat, SPOT-2 or 4, ALOS, Ikonos or Quickbird. Key Words: MODIS, Burned Area, NDVI, Central Kalimantan
PERBANDINGAN TEKNIK ORTHOREKTIFIKASI CITRA SATELIT SPOT5 WILAYAH SEMARANG DENGAN METODE DIGITAL MONO PLOTTING (DMP) DAN METODE RATIONAL POLYNOMIAL COEFFICIENTS (RPCs) Julzarika, Atriyon
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Quality of accuracy and precision is the main problem in survey and mapping. One of the problems in remote sensing is the geometrical correction using the orthorectification of the satellite imagery. Conceptually, it is the same with the orthorectification of oblique air photos. This research study is about how to orthorectify the SPOT5 imagery of Semarang using DMP and RPCs methods. SPOT5 satellite can acquire data with a sensor angle up to 200, so it produces oblique images. This DMP method use the Colinear equation with the condition of Polynomial order 2 (horizontal) and the height value was obtained from Digita Terrain Model (DTM). RPCs methods use parameters of interior orientation of its metadata and are also assissted by eight ground control points from DTM. Adjustment computation is used to compute the differential orthoimage model to produce new parameter values that will be used for orthorectification. This result of orthorectification is tested by overlaying toward the Indonesian Topography Map (RBI) scale 1:25.000 and the ground survey. Keywords: SPOT5, Orthorectification, DMP, RPCs
PEMODELAN 3D PULAU BATU MANDI MENGGUNAKAN DIGITAL ELEVATION MODEL (DEM) TURUNAN DIGITAL SURFACE MODEL (DSM) SHUTTLE RADAR TOPHOGRAPHY MISSION (SRTM) 90 DENGAN INTERPOLASI COKRIGING Julzarika, Atriyon
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Pulau Batu Mandi is one of the 92 small outlying islands of Indonesia. This island has a common boundary with Malaysia and it is needed a 3D model to see the topography condition of that island. In this research, that modelling uses the data input of Digital Surface Model (DSM) SRTM90 and is added by one basepoint and one reference point and also some bathymetry points. All data are merged to produce a new DSM using the CoKriging interpolation. Then the DSM2DEM operation is performed to transform the derived DSM of CoKriging interpolation to be a DEM 7 m. The spline interpolation is then performed toward the DEM 7 m to provide a smoother display. The DEM 7 m has a spatial resolution of 7 m with the vertical accuracy litlle than 5m after performing a geostatistical test globally to the reference data. This condition uses 3σ tolerance to fulfill the mapping criteria for the possibility of 1m sea level rise. This DEM 7 m can be used for engineering and non-engineering aplications Keywords: Pulau Batu Mandi, DSM, DEM, CoKriging Interpolation
PENENTUAN HUBUNGAN ANTARA SUHU KECERAHAN DATA MTSAT DENGAN CURAH HUJAN DATA QMORPH Parwati, -; Suwarsono, -; Ayu DS, Kusumaning; Kartasamita, Mahdi
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 6, (2009)
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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The relationship analysis between the brightness temperature from MTSAT-1R and the rainfall from Qmorph have been conducted in this research. The data used in this research are 240 data sets of MTSAT-1R and QMorph for ten days (1-10 February 2009, 00 – 23 UTC). The analysis is based on the MTSAT-1R spatial resolution (5 x 5 km) which covered 621 pixels for Bengawan Solo Water Catchment Area. The statistical analysis used are timeseries, regression-correlation analysis, and marginal analysis. The result showed that there is a significant correlation between the brightness temperature of MTSAT-1R data with the rainfall from QMorph data (r ≥ 0.80 or equal to R2 ≥ 0.65) for 66 % data or around 410 pixels. The brightness temperature tends to decrease with the higher rainfall, except for the Cirrus cloud which has a cooler temperature but not potential to become rain. Based on the marginal analysis of 410 pixels, we have found a power line regression between the QMorph rainfall (mm/hour) and the MTSAT cloud temperature (°K) with R2 = 0.9837. The equation is: Qmorph rainfall = 2. 1025 (MTSAT cloud temperature)-10.256. In order to increase the accuracy, the validation of QMorph data needs to be done by comparing the QMorph with other rainfall data sources and also taking the topography of area into consideration. Key word: Brigthness temperature, Rainfall, MTSAT, QMorph, Coefficient correlation, Marjinal Analysis

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