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Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
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Articles 7 Documents
Search results for , issue " Vol 9 No.1 Juni 2012" : 7 Documents clear
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Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 9 No.1 Juni 2012
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2012.v9.a1956

Abstract

PEMETAAN MUATAN PADATAN TERSUSPENSI MENGGUNAKAN DATA SATELIT LANDSAT (STUDI KASUS: TELUK SEMANGKA) (TOTAL SUSPENDED MATTER MAPPING USING LANDSAT SATELLITE DATA (CASE STUDY: SEMANGKA GULF)) Arief, Muchlisin
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 9 No.1 Juni 2012
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Total Suspended Matters (TSM) defined all solids or particles with a larger size 1 μm that are suspended in water resulting in decreased quality of water until the water can not be used as intended. There are various methods that have been made in mapping the TSM based on remote sensing satellite data both low and high resolution. This paper describes TSM mapping which TSM algorithm was directly applied to the digital number value of Landsat image. The mapping process was preceded by a thresholding method to separate the water with other objects (clouds, cloud shadows and the mainland), then the TSM concentration was calculated through the algebraic sum of band1, 2.3, and 4 and ended with density slice range process. Based on the TSM analysis, the TSM concentration in the Semangka Gulf was caused by human waste and also the material carried by streams of water from ponds and sewage waste soil erosion. TSM concentration areas was spread out in water of the Wonosobo District until 640 meters of spreading length and Kota Agung Timur districts until 3240 meters of spreading length. Key words: Total Suspended Matter, Semangka gulf, Thresholding
APLIKASI MODEL PROBABILISTIK UNTUK SIMULASI ALIRAN MATERIAL ERUPSI STUDI KASUS: GUNUNG MERAPI, JAWA TENGAH (APPLICATION OF PROBABILISTIC MODEL FOR ERUPTION MATERIAL FLOW SIMULATION CASE STUDY: MERAPI VOLCANO, CENTRAL JAVA) Yulianto, Fajar; Parwati, -
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 9 No.1 Juni 2012
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Simulation of eruption material flow using probabilistic model based on the Monte Carlo algorithm was conducted in this research. The simulation result was used to support the creation of zoning map of volcanic hazards and the estimation of building number which has possibility to be impacted by the Merapi Volcano eruption. Input data for the simulation was Digital Elevation Model - Shuttle Radar Topographic Mission (DEM-SRTM) with a spatial resolution of 30 meters. In addition, GeoEye satelit imagery in 2009 was used to renew settlement information of the RBI map from BAKOSURTANAL. The simulation result of material flow eruption was overlaid with building area information to estimate the magnitude of eruption impact. The simulation results from this research has similar pattern and similar eruption material distribution with the reference map (volcanic hazard map of Merapi). The flow of Merapi eruption material generally leads to the south through the Gendol Rivers to Cangkringan, and to the southwest ward through the Putih Rivers to Srumbung. Material flow eruption is shown in height simulations 2 meters and 7 meters. The wider and widening of the of simulation models material flow eruption generated, the greater impact on the settlements in the vicinity of Merapi Volcano. Key word: Simulation of eruption material flow, DEM-SRTM, volcanic hazard, Merapi Volcano
STANDARISASI KOREKSI DATA SATELIT MULTIWAKTU DAN MULTISENSOR (LANDSAT TM/ETM+ DAN SPOT-4) (STANDARDIZATION OF MULTI TEMPORAL AND MULTI SENSOR SATELLITE DATA CORRECTION (LANDSAT TM/ETM+ AND SPOT-4)) Trisakti, Bambang; Nugroho, Gagat
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 9 No.1 Juni 2012
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Remote sensing satellite data has been widely used to support watershed and lake managements. However researches conducted in Indonesia are facing common problems related with standardization of data pre-processing, particularly that are related to orthorectification and radiometric correction. The objective of this research is to standardize the satellite data correction to monitor Total Suspended Material (TSM) in Limboto lake along 1990-2010 period using Landsat TM/ETM+ and SPOT-4. The data correction process was performed included orthorectification, sun correction, terrain correction and normalization of data with different time and different sensor. The result of each correction process was examined to evaluate the quality improvement before and after correction. The corrected data was then used to monitor the degree of turbidity of Limboto Lake during 1990-2010 periods. The study results show that data correction reduces position error and object spectral difference due to differences in acquisition time and sensor. The examined correction provides more accurate and consistent results. The quality of Limboto Lake was monitored decreases gradually, where the higher TSM concentration was found during the period of 1990-2010. Keywords: Orthorectification, Radiometric, Multi-temporal, Multi-sensor, Total Suspended Material (TSM)
ANALISIS POTENSI BANJIR DI SAWAH MENGGUNAKAN DATA MODIS DAN TRMM (STUDI KASUS KABUPATEN INDRAMAYU) (ANALYSIS OF POTENTIAL FLOOD IN PADDY FIELD USING MODIS AND TRMM DATA (CASE STUDY: INDRAMAYU DISTRICTS)) Febrianti, Nur Domiri; Domiri, Dede Dirgahayu
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 9 No.1 Juni 2012
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

The occurrence of flooding in paddy field may cause the decrease of total production. To increase the food sufficiency within the country, the monitoring of flood affected paddy field is very important to be implemented. The satellite imagery is one of tools for monitoring the flooding area. In this study; we used remotely sensed data from MODIS (Moderate Resolution Imaging Spectroradiometer) and TRMM (Tropical Rainfall Measuring Mission) for January 2011 and January 2012, respectively. The district of Indramayu was selected as the study site due to one of the center of the rice production. The flood frequency method was utilized to estimate the flood duration. Some assumption used in this study, i.e.: (i) the assumed to be wetland rainfed rice. (ii) Rice fields are assumed in the flat.(iii) The rainfall exceeds the crop water demand will be potentially because the floods, (iv) The rainfall have large impact causing flooding when compare to index vegetation greenness. The calculation of the flood potential did known that the equation used compelling enough because it has been in accordance with actual flood events. The class of potential flooding were identifying as a class of height severe flooding. The calculation of flood frequency in January 2011 showed that there had been flooding up to 4 times a month. Besides, there is 18,400 ha that has four times frequency of flooding, respectively and requires to be aware crop failures occurred in both conditions. The condition on January 2012 was in a safe because floods occurred only one time. The extensive flooding of rice fields in Indramayu district January 2012. Key words : Flooded rice fields, Frecuency of flooding, MODIS, TRMM
MODEL BAHAYA BANJIR MENGGUNAKAN DATA PENGINDERAAN JAUH DI KABUPATEN SAMPANG (FLOOD HAZARD MODEL USING REMOTE SENSING DATA IN SAMPANG DISTRICT) Haryani, Nanik Suryo; Zubaidah, Any; Dirgahayu, Dede; Yulianto, Hidayat Fajar; Pasaribu, Junita
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 9 No.1 Juni 2012
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

Flood is the first biggest disaster in Indonesia, as stated by the National Disaster Management Agency (BNPB) in the BNPB’s natural disaster data of year 2000 to 2009. Considering the flood has the significant impact of causing the casualties and material losses, it is necessary to study on it. One of useful data for studying the flood is remote sensing data. The advantage of good historical data makes it possible to see the changes of cover/land use from year to year in a region. The extensive area coverage of remote sensing data allows it to view and analyze in a comprehensive manner. The method of the study of flood hazard models is using multiple variables, where each variable has a class of criteria. Determination of the weight of each flood variable by using the Composite Mapping Analysis. The results of this study shows the main cause of flooding in the District of Sampang is that most of the land system in the cities are the combined estuary and swamp plain, forming a low land and is triggered by the torrential rain. The model of flood hazard maps produced by variable weighting floods with a multi criteria analysis method which is function of rainfall, landuse, slope, land system and elevation. Key words: Flood hazard, Composite Mapping Analysis, Remote sensing
KLASIFIKASI SPASIAL PENUTUP LAHAN DENGAN DATA SAR DUAL-POLARISASI MENGGUNAKAN NORMALIZED DIFFERENCE POLARIZATION INDEX DAN FITUR KERUANGAN DARI MATRIK KOOKURENSI (SPATIAL LAND COVER CLASSIFICATION USING DUAL-POLARIZATION SAR DATA BASED ON NORMALIZED DIFFERENCE POLARIZATION INDEX AND SPATIAL FEATURES FROM CO-OCCURRENCE MATRIX) Kushardono, Dony
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol 9 No.1 Juni 2012
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

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Abstract

In this study, the land cover classification method using the spatial information features of co-occurence matrix and Normalized Difference Polarization Index (NDPI) data from dual polarization SAR Data was proposed. The spatial information features are used as input of supervised classification, and to get the performance of the proposed method, land cover classification was conducted with SAR C-band and L-band satellite data of Envisat ASAR and ALOS PALSAR. The results of the study are, the size of window on the SAR image to get the spatial information features of co-occurence matrix and the use of additional NDPI data are giving effect to the accuracy of classification results. At the test area in Siak Riau Province which have 7 classes of land use, the optimum window size for co-occurence matrix is 7pixel x 7pixel for ASAR data which has 75m spatial resolution, and more than 9pixel x 9pixel for PALSAR data which has 10m spatial resolution. The addition of the co-occurence matrix information of NDPI data can improve the classification of accuracy up to 2%. Key words: Spasial land cover classification, Dual polarization SAR, NDPI, Co-occurrence matrix

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