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Lalu Muhamad Jaelani
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Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo-engineering; Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia. Phone 031-5929486, 031-5929487
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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 147 Documents
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UJI AKURASI VERTIKAL DTM ALOS PALSAR TERHADAP PENGUKURAN KOMBINASI DGNSS-ALTIMETER Julzarika, Atriyon; Dewi, Esthi Kurnia
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 15 No. 1 (2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2018.v15.a2804

Abstract

MODEL ESTIMASI TINGGI MUKA AIR TANAH LAHAN GAMBUT MENGGUNAKAN INDEKS KEKERINGAN Febrianti, Nur; Murtilaksono, Kukuh; Barus, Baba
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 15 No. 1 (2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2018.v15.a2867

Abstract

The Ground Water Level plays an important role in determining the greenhouse gas emission and, in turn, in regulating global climate system. Information on existing water levels is still using field measurements. The purpose of this study was to evaluate the best approximation model for estimating water level using drought index. This study utilizes Landsat 8 data to calculate Normalized Difference Water Index and Visible and Shortwave infrared Drought Index for 3 months (March, April and June 2016). The best estimation model is selected by the Akaike Information Criteria correction method and validated using K-Fold cross-validation. The results of this study indicate that the estimation of water level is affected by both drought indices with the TMA (mm) equation = -439,47 – 1639,7 * NDWI_Maret – 640,23 * NDWI_April + 477 * VSDI_Maret. Estimated water level began to detect hotspots ranging from 64,35 ± 36,9 6 cm (27 - 101 cm). The critical point for KHG Sei Jangkang - Sei Liong is 27 cm, thus the water level depth should be maintained less than that to avoid fire in peatlands.
PENGOLAHAN GEOLOKASI PRODUK DATA GAS RUMAH KACA (GRK) DARI SATELIT SUOMI NPP ATMS DAN CRIS DENGAN METODE INTERPOLASI RADIAL BASIS FUNCTION Indradjad, Andy; Dyatmika, Haris Suka; Salyasari, Noriandini Dewi; Fibriawati, Liana; Indriani, Masnita
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 15 No. 1 (2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2018.v15.a2798

Abstract

Geolocation processing to produce spatial greenhouse gases data products consisting of CH4, CO2 and N20 gases has been carried out systematically. The greenhouse gases data are derived from Enviomental Data Record (EDR) Suomi NPP Satellite CrIS and ATMS Sensor products. During this process, there is an obstacle while performing the information data of greenhouse gases concentrations, due to the result of systematic processing files from EDR are still in netcdf format, so that it could not be distributed to users as they expected. The unique of unlimited netcdf format is that, it displays only numeric values with irregular resolution, unregistered and incompatible with commonly processing data software. This research aims to produce geolocation processing module in order to provide information of greenhouse gases data spatially by using coordinate pixel registration method into image data, convert Digital Number (DN) value with scale corresponding to Indonesian region and interpolation value between pixels with Radial Basis Function (RBF) method using linear function. The result from the geolocation processing module of greenhouse gases data product are concentration information from some altitude level. The product is in geotiff format with 50 km spasial resolusion.
ANALISIS MISALIGNMENT CITRA MULTISPEKTRAL TERHADAP CITRA PANKROMATIK PADA DATA WORLDVIEW-2 Brahmantara, Randy Prima; Kustiyo, Kustiyo
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 15 No. 1 (2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2018.v15.a2800

Abstract

The standard data of Worldview-2 owned by LAPAN is Ortho-Ready Standard level 2 (OR2A) data consisting of 4 multispectral bands (blue, green, red, NIR) and one panchromatic band each 2 m and 0,5 m spatial resolution. Both images have different metadata and RPC, making it possible to perform geometric corrections separately. This paper discusses the analysis of the inaccuracies of multispectral image positions to panchromatic images compared to those that have been systematically geometric corrected. The method used is fast fourier transform phase matching by taking 500 binding points between the two images. The measurement results prove that the multispectral image of the Worldview-2 data of the OR2A level has a larger shift compared with multispectral image that has been systematically geometric corrected. The multispectral image of the OR2A data shifts are 2,14 m on the X-axis and 0,42 m on the Y-axis. While the multispectral image that has been systematically geometric corrected shifts are 1,72 m on the X-axis and 0,54 m on the Y-axis.
ANALISIS PENERAPAN METODE GAP FILLING UNTUK OPTIMALISASI PEROLEHAN DATA SUHU PERMUKAAN LAUT BEBAS AWAN DI SELAT BALI Jatisworo, Dinarika; Murdimanto, Ari; Kusuma, Denny W.; Sukresno, Bambang; Berlianty, Dessy
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.v15i2.3341

Abstract

Sea Surface Temperature (SST) sensed from infrared satellite sensors has a limitation caused by clouds cover. This limitation affects SST data to be not optimal because there are many empty areas without SST information. Gap Filling is a simple method for combining multitemporal satellite data to generate cloud free data. This research will apply Gap Filling method from two SST data, namely Himawari-8 and Multiscale Ultrahigh Resolution Sea Surface Temperature (MUR-SST). Cloud free daily SST data generated by this method has ~2 Km spatial resolution and daily temporal resolution. Validation of cloud-free SST data using in situ measurement data shows Mean Absolute Deviation (MAD) value 0.29 is smaller than MAD value from MUR-SST and Himawari-8 data. High correlation between cloud free SST data and insitu data is reflected from Kendall's Tau correlation value of 0.7966 or 79.66% and R2 with 0.93 value. These results indicate that the cloud free daily SST data can be used as valid estimation of SST condition in Bali Strait.
ESTIMASI BATIMETRI DARI DATA SPOT 7 STUDI KASUS PERAIRAN GILI MATRA NUSA TENGGARA BARAT Setiawan, Kuncoro Teguh; Manessa, Masita Dwi Mandini; Winarso, Gathot; Anggraini, Nanin; Giarrastowo, Gigih; Asriningrum, Wikanti; Herianto, Herianto; Rosid, Syamsu; Supardjo, A. Harsono
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.
MODIFIKASI DIGITAL ELEVATION MODEL (DEM) CITRA RESOLUSI TINGGI MENGGUNAKAN FUSI INTERFEROMETRI SAR DAN STEREOSAR BERBASIS FAKTOR PEMBOBOTAN Dyatmika, Haris S.; Arief, Rahmat; Sudiana, Dodi; Ali, Shadiq; Maulana, Rachmat; Budiono, Marendra Eko
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.v15i2.3343

Abstract

SAR satellite sensors are capable to measure elevation of the earth surface using interferometry (InSAR) or radargrammetry (StereoSAR) methods. The InSAR method utilizes phase value from SAR images, while the StereoSAR uses amplitude value to produce elevation of the earth surface. Both methods have advantages and disadvantages on each own. Problems with low accuracy on DEM generated using InSAR occur on shadow and layover area, while in the second method (StereoSAR) the problem arise when cross correlation between the two images have low value. This paper proposes a technique to combine InSAR and StereoSAR methods to generate DEM using high resolution SAR images. A pair of TerraSAR-X or TanDEM-X images with a 21 degree incidence angle are used in this study and processed using the InSAR method and another pair of images at an angle of 21 degrees and 41 degrees using the StereoSAR method in Bandung and surrounding areas. The experimental results show that the fusion DEM of the two methods have better accuracy and decrease the absolute error both from InSAR and StereoSAR technique methods that separately around 3.48 m and 1.80 m.
ALGORITMA HAZE DETECTION DENGAN MENGGUNAKAN HAZE INDEX PADA CITRA SPOT 6/7 Sulyantara, D. Heri; Siwi, Sukentyas Estuti; Prabowo, Yudhi; Brahmantara, Randy Prima; Ulfa, Kurnia
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.v15i2.3344

Abstract

Multispectral satellite imagery often contaminated by haze and cirrus. It will reduce the accuracy of data interpretation. There are some haze detection methods that have been developed by the experts. However, haze detection is still one of the important challenges for the correction of multispectral optical data. The method is used on hazy SPOT 6/7 imagery. This method is developed based on the reflectance slope of blue and red visible bands. It is used based on the comparison that has been done in the STCHT, HOT, and SHT method. Adding the formula with different coefficients to get the optimum haze index value. Furthermore, the regression analysis has been done on the haze and cloud’s threshold value that is given by the applications of optimum haze index.
PENINGKATAN RESPONSE DAN LOAD TIME DALAM MENAMPILKAN CITRA SATELIT PENGINDERAAN JAUH PADA APLIKASI WEB GIS SISTEM PEMANTAUAN BUMI PROVINSI Jusuf, Rubini; Yudha, Gusti Darma; Oktavia, Masnita Indriani; Siwi, Sukentyas Estuti; Hutapea, Destriyanti; Purnama, Syaiful Muflichin; Rizkiyanto, Rahmat
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.v15i2.3345

Abstract

Provincial based Earth Monitoring System (SPBP) LAPAN is provided to meet the needs of local governments related to the management and distribution of geospatial information data in the form of remote sensing data and thematic geospatial data. GIS (Geographic Information System) mapping through Web or called Web GIS is one way to display and distribute maps online. Web GIS is built to provide convenience and speed of access by users. Web Map Service (WMS) data access speed method on the SPBP system is considered quite slow along with increasing the volume of data processed. This research aims to improve the performance of the Web GIS in response to user requests and speed in displaying image (load time) Landsat-8 and SPOT-6/7 mosaics. The object of this research is remote sensing satellite image in Kepulauan Riau Province. Performance tests are carried out with comparing several sizes of tile maps with the Web Map Tile Service (WMTS) method and manual tiling as a solution to replace the WMS system. Measurements on system request for use on both WMTS and manual tiling showed a not significant difference. But the WMTS tile map is much faster in displaying mosaic data which reaches an average number of less than 3 seconds. Base on the results of this study the Web GIS with the WMTS method is the basis of SPBP development, in order to optimize the speed of access of Landsat-8 and SPOT-6/7 mosaic image data.
PENGARUH TINGGI MUKA AIR GAMBUT SEBAGAI INDIKATOR PERINGATAN DINI BAHAYA KEBAKARAN DI SUNGAI JANGKANG - SUNGAI LIONG Febrianti, Nur; Murtilaksono, Kukuh; Barus, Baba
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 16 No. 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v16i1.3346

Abstract

Disasters of forest and land fires are increasingly concerned. The nature of peat soil which is easy to lose water and high organic matter content causes peat soils to be very sensitive to fire. Therefore it is necessary to know indicators for early warning of fires on peatlands. The purpose of this study is to determine the critical groundwater level (GWL) as an indicator of peatland fires on the Jangkang River - Sungai Liong. Determination of the critical point of peatland fires as a fire early warning is done by calculating the difference from the value of the undefined TMA with a range of possible errors. The TMA value is obtained from the estimation of several methods, namely data on the physical properties of the soil, the drought index, and a combination of both. The TMA estimation of the physical properties of the soil has a range of fires at depths of 74.3 - 107 cm. In estimating TMA using a drought index, potential fires occur in TMA ranging from 27 - 101 cm. While the combined estimates of the physical properties of the soil and the drought index ranged from 66.8 - 98.8 cm the occurrence of fires on peatland. The results of this study show that the estimated TMA from a combination of field data and drought index provides fairly good accuracy. Thus TMA can be an early warning indicator of the danger of peatland fires. This TMA estimation can give faster results and pretty good accuracy. But this estimation model for TMA does not necessarily apply directly to other research locations. The critical point of peat soil water depth ranges from 27 to 74 cm. The depth of the peatland surface should be maintained less than the critical point, if not then the potential for peatland fires will increase.

Page 12 of 15 | Total Record : 147

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