cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 14128098     EISSN : 2549726X     DOI : https://doi.org/10.12962/inderaja
Core Subject : Science, Agriculture, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
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.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "Vol. 6 No. 1 (2009)" : 7 Documents clear
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.
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 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.

Page 1 of 1 | Total Record : 7

 1 

Filter by Year

2009 2009


Reset
Filter By Issues
All Issue Vol. 19 No. 2 (2025) Vol. 19 No. 1 (2025) Vol. 18 No. 1 (2021) Vol. 17 No. 1 (2020) Vol. 16 No. 2 (2019) Vol. 16 No. 1 (2019) Vol. 15 No. 2 (2018) Vol. 15 No. 1 (2018) Vol. 14 No. 2 (2017) Vol. 14 No. 1 (2017) Vol. 13 No. 2 (2016) Vol. 13 No. 1 (2016) Vol. 12 No. 2 (2015) Vol. 12 No. 1 (2015) Vol. 11 No. 2 (2014) Vol. 11 No. 1 (2014) Vol. 10 No. 2 (2013) Vol. 10 No. 1 (2013) Vol. 9 No. 2 (2012) Vol. 9 No. 1 (2012) Vol. 8 No. 1 (2011) Vol. 6 No. 1 (2009) Vol. 5 No. 1 (2008) Vol. 4 No. 1 (2007) Vol. 3 No. 1 (2006) Vol. 1 No. 1 (2004) More Issue