cover
Contact Name
Lalu Muhamad Jaelani
Contact Email
lmjaelani@its.ac.id
Phone
+62819634394
Journal Mail Official
lmjaelani@its.ac.id
Editorial Address
Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo-engineering; Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia. Phone 031-5929486, 031-5929487
Location
Kota surabaya,
Jawa timur
INDONESIA
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
ISSN : 14128098     EISSN : 2549726X     DOI : https://doi.org/10.12962/inderaja
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital (the Journal of Remote Sensing and Digital Image Processing) is a scientific journal dedicated to publishing research and development in technology, data, and the utilization of remote sensing. The journal encompasses the scope of remote sensing as outlined in Law No. 21 of 2013 on Space Affairs, which includes: (1) data acquisition; (2) data processing; (3) data storage and distribution; (4) utilization and dissemination of information. The journal was first published by the Indonesian National Institute of Aeronautics and Space (LAPAN) in June 2004 and received its initial accreditation as a "B" Accredited Scientific Periodical Magazine from LIPI in 2012. In 2015, the journal successfully maintained its "B" Accredited status. From 2018 to 2021, the journal was accredited as SINTA 2 with certificate number 21/E/KPT/2018. Starting from March 2025, the journal has been managed by the Institut Teknologi Sepuluh Nopember (ITS), in collaboration with the Geoinformatics Research Center of BRIN and the Indonesian Society for Remote Sensing (ISRS/MAPIN). The journal encompasses the scope of remote sensing as outlined in Law No. 21 of 2013 on Space Affairs, which includes: data acquisition; data processing; data storage and distribution; utilization and dissemination of information.
Articles 147 Documents
MODEL INDEX TVDI (TEMPERATURE VEGETATION DRYNESS INDEX) UNTUK MENDETEKSI KEKERINGAN LAHAN BERDASARKAN DATA MODIS-TERRA Parwati, Parwati; Suwarsono, Suwarsono
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 5 No. 1 (2008)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v5i1.3235

Abstract

KAJIAN DISTRIBUSI SPASIAL DEBIT ALIRAN PERMUKAAN DI DAERAH ALIRAN SUNGAI (DAS) BERBASIS DATA SATELIT PENGINDERAAN JAUH Trisakti, Bambang; Teguh, Kuncoro; Susanto, Susanto
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 5 No. 1 (2008)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v5i1.3236

Abstract

The aim of this paper is to analyze the spatial distribution of the water discharge in the Ciliwung watershed based on the remote sensing satellite data. Digital elevation model (DEM) is processed to determine the watershed border using the steepest slope method and also used to calculate pixels area. The calculated pixels area are used to determine the watershed and landcover areas in 3 dimension perspective, the landcover of the Ciliwung watershed is mapped by using SPOT-4 image acquired in 2007. All generated information are used as the input to determine the spatial distribution of the water discharge using the run-off coefficient table produced by related institutions. In the next step, the total water discharge in some outlets (Katulampa, Depok and Muara Ciliwung) are compared and the relationship between the landcover condition and the water discharge is evaluated. The result shows that DEM can be used to determine the watershed border and calculate the watershed area, which the results are almost same with the real condition. The spatial distribution of the water discharge is useful to analyse the water discharge contribution of each part of watershed to the total water discharge in the Ciliwung watershed. It shows that the water discharge in Katulampa outlet contributes 44 % of the total water discharge in the Ciliwung watershed. Further, some landcover types are identified in the high water discharge area. This kind of information is very useful for the regional planning and flood management activities.
PENENTUAN NILAI AMBANG BATAS UNTUK POTENSI RAWAN BANJIR DARI DATA MTSAT DAN QMORPH (STUDI KASUS: BANJIR BENGAWAN SOLO 2007) Parwati, Parwati; Suwarsono, Suwarsono; Yulianto, Fajar; Suprapto, Totok
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 5 No. 1 (2008)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v5i1.3237

Abstract

The relationship between the cloud top temperature from MTSAT-1R and the rainfall from QMorph data in Bengawan Solo water catchment area have been analyzed in this research. The analysis was done using data during 21 – 30 December, 2007 (00 – 23 UTC) for 240 data sets. The result shows that the cloud top temperature which have been potential to be high rain is around 195° - 235° K, whereas the cloud top temperature is greater than 235° K related to the low rainfall. Meanwhile, there was a logarithmic relationship between the rainfall from QMorph data and the cloud top temperature of MTSAT-1R (infrared 1 channal) with the coefficient correlation 0.78. The threshold of the cloud top temperature for the flash flood in Bengawan Solo is lower than 215° K at least lasting for 4 days. The heavy rainfall which occured intensively could be a triggered for the flood disaster around Bengawan Solo water catchment area.
ANALISIS PERUBAHAN HUTAN MANGROVE MENGGUNAKAN DATA PENGINDERAAN JAUH DI PANTAI BAHAGIA, MUARA GEMBONG, BEKASI Suwargana, Nana
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 5 No. 1 (2008)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v5i1.3238

Abstract

Mangrove forests grow near the big river estuary where the river delta gives a lot of sediment (sand and mud). Mangrove roots collect sediments and slow the water flow to protect the coastline and prevent the erosion. Along the time, the roots can collect mud to extend the edge of the coastline. The purpose of this study was to analyze the changes of mangrove forests, coastline, and its effect on the income of fishermen on the Bahagia coast, Muara Gembong, Bekasi, West Java Province during 17 years between 1990 and 2007. Observations were made by using two series of multitemporal (Landsat-TM 1990 and SPOT-4 2007) data. Information about the distribution, extent and land cover changes to analyze the value was obtained by the spectral based (RGB 453 Landsat-TM and RGB 143 SPOT-4) color composite image, image classification, and field data. While information on the coastline change based on the 2007 classified images was overlayed with the classified images. The results show that: 1). mangrove forest changes during the 17 years (1990-2007) has decreased from 34.89 hectares to 33.23 hectares and the results of overlaying the image of the coastline of classification image in 2007 with the coastline of classification image in 1990 found that there coastline abrasion occurs and accretion; 2). conditions of the existence of mangrove forests in coast Bahagia with a dwindling population have affected the income of fishermen nearby.
KAJIAN KOREKSI TERRAIN PADA CITRA LANDSAT THEMATIC MAPPER (TM) Trisakti, Bambang; Kartasasmita, Mahdi; Kustiyo, Kustiyo; Kartika, Tatik
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.
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 No. 1 (2009)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v6i1.3240

Abstract

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 20°, 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 Digital Terrain Model (DTM). RPCs methods use parameters of interior orientation of its metadata and are also assisted 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.
PEMODELAN 3D PULAU BATU MANDI MENGGUNAKAN DIGITAL ELEVATION MODEL (DEM) TURUNAN DIGITAL SURFACE MODEL (DSM) SHUTTLE RADAR TOPOGRAPHY MISSION (SRTM) 90 DENGAN INTERPOLASI COKRIGING Julzarika, Atriyon
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.v6i1.3241

Abstract

PENENTUAN HUBUNGAN ANTARA SUHU KECERAHAN DATA MTSAT DENGAN CURAH HUJAN DATA QMORPH Parwati, Parwati; Suwarsono, Suwarsono; Ayu DS, Kusumaning; Kartasasmita, Mahdi
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

Abstract

MODEL SIMULASI LUAPAN BANJIR SUNGAI CILIWUNG DI WILAYAH KAMPUNG MELAYU-BUKIT DURI JAKARTA, INDONESIA Yulianto, Fajar; Marfai, Muh Aris; Parwati, Parwati; Suwarsono, Suwarsono
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.v6i1.3243

Abstract

PEMANFAATAN DATA MODIS UNTUK IDENTIFIKASI DAERAH BEKAS TERBAKAR (BURNED AREA) BERDASARKAN PERUBAHAN NILAI NDVI DI PROVINSI KALIMANTAN TENGAH TAHUN 2009 Suwarsono, Suwarsono; Yulianto, Fajar; Parwati, Parwati; Suprapto, Totok
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.v6i1.3244

Abstract

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 occurred 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.

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