Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
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.
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147 Documents
<![CDATA[PEMETAAN ZONA GEOMORFOLOGI EKOSISTEM TERUMBU KARANG MENGGUNAKAN METODE OBIA, STUDI KASUS DI PULAU PARI ]]>
<![CDATA[Anggoro, Ari]]>;
<![CDATA[Siregar, Vincentius P.]]>;
<![CDATA[Agus, Syamsul B.]]>
<![CDATA[ Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 1 (2015) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.30536/inderaja.v12i1.3306
<![CDATA[This study used object-based image analysis (OBIA) for geomorphic zones map of coral reef ecosystem in Pari Islands. The application of OBIA methods was used multiresolution segmentation algorithm with different scale parameter for each level. Classification methods for level 1 and 2 were used contextual editing classification. The results showed an overall accuracy for level 1 was 97% (reef level) and level 2 was 87% (geomorphic zone). Thus OBIA methods can be used and well-defined as an alternative for geomorphic zones map in other regions.]]>
<![CDATA[KLASIFIKASI DAERAH TERCEMAR LIMBAH ACID SLUDGE MENGGUNAKAN METODE SPECTRAL MIXTURE ANALYSIS BERBASIS DATA LANDSAT 8 ]]>
<![CDATA[Haryani, Nanik Suryo]]>;
<![CDATA[Sulma, Sayidah]]>;
<![CDATA[Pasaribu, Junita Monika]]>;
<![CDATA[Fitriana, Hana Listi]]>
<![CDATA[ Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 1 (2015) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.30536/inderaja.v12i1.3307
<![CDATA[The existence waste materials in an area potentially triggers the contamination, and in turns will damages the environment particularly in the vicinity of waste disposal location. This research is aimed to analyze the acid sludge waste contaminated area using the remote sensing satellite Landsat 8. The applied methodology for analyzing the spectral of contaminated area is using spectral mixture analysis method. The result shows that the spectral analysis using this method with spectral reference based on endmember images convey the better output. This is caused by the availability of the SWIR wave length in Landsat 8. The SWIR wave length is sensitive against a highly contaminated substance like as sand and sludge, and contributes to non land contaminated substance like vegetation. Further the index classification based on images endmember shows the result which matching better to the field condition. Based on accuracy review, the result shows the classification accuracy based on this index as 62.5 %.]]>
<![CDATA[PENGUJIAN MODEL PENDEKATAN PROBABILITAS BERBASIS PERUBAHAN PENUTUP LAHAN CITA LANDSAT TUNGGAL MULTIWAKTU UNTUK PEMETAAN LAHAN SAWAH ]]>
<![CDATA[Parsa, I Made]]>
<![CDATA[ Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 1 (2015) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.30536/inderaja.v12i1.3308
<![CDATA[Tests on a model of probability approach to paddy field mapping based on land cover changes that has been done in several districts in West Java showed overall accuracy an average only 65.5%. It is thought to be related to the use of annual multitemporal Landsat mosaic results so often seem illogical because the image is derived from some of the data obtained at different seasons. In this regard has been done phase II trial of the model using multitemporal Landsat-8 singles data (not mosaic data). The objective of this research is to test the validity of the probability model on multitemporal land cover changes for rice field mapping. The method used in this trial is unsupervised classification methods for mapping multitemporal land cover. Merging multitemporal land cover change in the timeframe in accordance with the date of acquisition date. Analysis of probability as a rice field area, where if two of the land cover types were detected, bare land or otherwise classified as land with probability 1, if only observed one land cover change, bare land becomes water, water or bare land is classified as a probability of 0.3. Accuracy tests using confusion matrix between the field probability image and rice field reference level 1: 5,000. The evaluation results show that the rice field probability image reached 79.7% with lowest accuracy 67.7% (Babelan Sub-districts) and the highest 86.7% (Sukamandi Sub-districts). Comparison of results with previous results showed a high significant difference with an average increase of more than 600% accuracy. Based on these results it can concluded that the probability model based on multitemporal land cover changes for rice field mapping has good accuracy.]]>
<![CDATA[PENDETEKSIAN POTENSI CADANGAN KARBON DI ATAS PERMUKAAN PADA HUTAN MANGROVE DI KUBU RAYA MENGGUNAKAN CITRA ALOS PALSAR ]]>
<![CDATA[Hudaya, Yudi Fatwa]]>;
<![CDATA[Hartono, Hartono]]>;
<![CDATA[Murti, Sigit Heru]]>;
<![CDATA[Hadiyan, Yayan]]>
<![CDATA[ Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 1 (2015) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.30536/inderaja.v12i1.3309
<![CDATA[The need for sufficient forest carbon stock measurement system which encompasses a faster and covering broader geographic area is now growing, one of which is the use of synthetic aperture radar (SAR). The objectives of this study were to demonstrate the advantage of ALOS PALSAR application for carbon quantification in mangroves, which apparently provided better relationship in between the L-band backscatters of ALOS PALSAR and the actual aboveground allometric based forest carbon stock of mangroves, compared with previous studies in other types of forest. i.e in tropics or temperate lowland until mountain forests. The better relationship explained by the coefficient determination (R²) of 62 % based on HH polarization with the equation model of Y = 1647.20 + 6.8288BS_HV + 279.48BS_HV + 2870. While previous studies mentioned the R² were only 16 - 76%. The models obtained subsequently were subjected to total carbon quantification and their distributions were mapped. The quantity of aboveground biomass of mangrove forest in Kubu Raya Regency was (Mega grams) or 5.3 Mt (Mega grams), the quantity of carbon dioxide (CO2) sequestration reached 19 451 Mt (Megagrams) equivalent. The 71,069.21 ha area of mangrove forest has the potential to reduce the rate of GHG (Green House Gas) emissions from forestry sector by 0.76%.]]>
<![CDATA[ANALISIS PEMANFAATAN DAN VALIDASI HOTSPOT VIIRS NIGHTFIRE UNTUK IDENTIFIKASI KEBAKARAN HUTAN DAN LAHAN DI INDONESIA ]]>
<![CDATA[Zubaidah, Any]]>;
<![CDATA[Vetrita, Yenni]]>;
<![CDATA[Priyatna, M.]]>;
<![CDATA[Ayu D., Kusumaning]]>
<![CDATA[ Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 1 (2015) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.30536/inderaja.v12i1.3310
<![CDATA[Suomi National Polar-Orbiting Partnership (Suomi NPP) that was launched on 28 October 2011 was a new generation of weather satellites of NASA. It has been continuing to develop algorithms for environmental monitoring applications including fire hotspot which is a global product. Therefore, an evaluation for the specific region is necessary. This paper is aimed to validate the VIIRS Nightfire (VNF) in Indonesia, particularly in Riau Province. MODIS fire hotspot (MOD 14) nighttime was used as well as a comparison. Statistical analysis was performed to calculate the precise location of hotspots at 1 and 2 km radius buffering of the detected fire. A field survey and SPOT 5 imagery which has a higher spatial resolution. Accuracy was calculated from them all the hotspots were detected in a period of 3 weeks which is adapted to the availability of SPOT 5 imagery, by considering the analysis of single and dissolve buffering. The result shows that VNF has an average accuracy rate of 84.31%. This result can be compared with the analysis of the MODIS hotspots product. Thus, VNF was very significant to be used along with MODIS hotspots, in particular for monitoring land/ forest fires at night.]]>
<![CDATA[PERBANDINGAN HASIL KLASIFIKASI LIMBAH LUMPUR ASAM DENGAN METODE SPECTRAL ANGLE MAPPER DAN SPECTRAL MIXTURE ANALYSIS BERDASARKAN CITA LANDSAT - 8 ]]>
<![CDATA[Sulma, Sayidah]]>;
<![CDATA[Pasaribu, Junita Monika]]>;
<![CDATA[Fitriana, Hana Listi]]>;
<![CDATA[Haryani, Nanik Suryo]]>
<![CDATA[ Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.30536/inderaja.v12i2.3311
<![CDATA[The utilization of remote sensing data is an alternative way that could be used for rapid detection of large coverage hazardous waste area. This study aims to classify the acid sludge contaminated area using Landsat 8 by applying Spectral Angle Mapper (SAM) classification method with two spectral reference sources, namely field spectral measurement using a spectrometer and endmember spectral from the image, and then compare the classification results. The accuracy level of SAM classification result showed that classification using endmember spectral from the image as the reference spectral reached 66.7%, whereas classification using field spectral measurement as spectral reference only reached 33.3%. The Spectral Mixture Analysis (SMA) classification result showed that classification using endmember spectral from the image as the reference spectral reached 62.5%. The affecting factors for the low accuracy is the significant differences of the spectral profiles obtained from spectrometer with spectral Landsat-8 due to differences of spatial and altitude measurements.]]>
<![CDATA[PERBANDINGAN ANTARA MARINE ACOUSTIC REMOTE SENSING DAN SWEPT AREA TRAWL DALAM PENDUGAAN DENSITAS IKAN DEMERSAL DI PERAIRAN TARAKAN ]]>
<![CDATA[Simbolon, Domu]]>;
<![CDATA[Priatna, Asep]]>;
<![CDATA[Hestirianoto, Totok]]>;
<![CDATA[Purbayanto, Ari]]>
<![CDATA[ Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.30536/inderaja.v12i2.3312
<![CDATA[The use of hydroacoustic surveys simultaneously with trawl swept area is expected to complement and increase the accuracy each other in estimation of the fish stock resources, especially demersal fish. Therefore, advantages and disadvantages of each method will be disclosed. The purpose of this study was to compare the density of demersal fish from detection of hydroacoustic surveys toward catches of bottom trawl, and to determine the factors that influence differences in fish density estimated of swept area and acoustic method. The study was conducted on May, August and November 2012 around Tarakan waters, North Borneo, using echo sounder Simrad EY60-120 kHz and bottom trawl simultaneously to measure density of demersal fish. Demersal fish density estimation of the two methods showed a highly significant difference. Difference in the estimation of fish density was affected by catchability, dead zone area of trawling, and fish behavior.]]>
<![CDATA[PENGARUH ALGORITMA LYZENGA DALAM PEMETAAN TERUMBU KARANG MENGGUNAKAN WORLDVIEW-2, STUDI KASUS: PERAIRAN PILU PAITON PROBOLINGGO ]]>
<![CDATA[Jaelani, Lalu Muhamad]]>;
<![CDATA[Laili, Nurahida]]>;
<![CDATA[Marini, Yennie]]>
<![CDATA[ Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.30536/inderaja.v12i2.3314
<![CDATA[Mapping the coral reef ecosystems to support the coastal management can be carried out using a high-resolution satellite imagery. Various methods of sea bottom features extraction have been developed and can be implemented to support the mapping process, one of them is Lyzenga's algorithm. This algorithm requires a depth variation of the area. The objective of this research is to investigate the effect of Lyzenga's algorithm on coral reef mapping. In this research, we compared the classification results of coral ecosystem between image with and without Lyzenga's algorithm. The image classification with this algorithm showing the appearance of sea bottom features were more differentiated and turn into Lyzenga index values which have been free from the water column effect. It produced several classes, they were oceans, land, sand, and coral reefs. The estimated area of coral reefs ecosystems in the waters of Paiton Probolinggo based on Worldview-2 classification result was 8.26 ha. Mapping coral reef ecosystem by using a high-resolution satellite imagery was very helpful giving the visualization of a wider area than the field observations.]]>
<![CDATA[DETEKSI GEJALA ERUPSI STROMBOLIAN GUNUNGAPI RAUNG JAWA TIMUR MENGGUNAKAN NORMALIZED THERMAL INDEX DARI DATA MODIS ]]>
<![CDATA[Suwarsono, Suwarsono]]>;
<![CDATA[Hidayat, Hidayat]]>;
<![CDATA[Suprapto, Totok]]>;
<![CDATA[Yulianto, Fajar]]>;
<![CDATA[Sari, Nurwita Mustika]]>;
<![CDATA[Parwati, Parwati]]>;
<![CDATA[Asriningrum, Wikanti]]>
<![CDATA[ Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 2 (2015) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.30536/inderaja.v12i2.3315
<![CDATA[Geologically, most of Indonesia is located on subduction zone of the Pacific ring of fire that causes many emerging active volcanoes. The existence of active volcanoes has an implications that the volcanic eruption could occur at any time. This study aims to detect the precursors of volcanic eruption by using parameters NTI (Normalized Thermal Index) derived from MODIS data. Volcanic object selected is Raung Volcano in East Java, where around June to July 2015 showed an increase in volcanic activity and was erupted. Data processing method includes processing of Landsat-8 for the determination of the area of interest (caldera and active crater), MODIS image processing for NTI measurement, and analysis of spatial and temporal patterns of NTI. The results showed that the precursors of a volcanic eruption can be detected from the increasing of the NTI value in the kaldera and its value which relatively higher than in the surrounding area. NTI parameters have proven to have a good ability to distinguish between the kaldera and other objects during eruption period. In case of Raung Volcano, NTI value = 0.06 can be applied as a threshold value for the eruption of this volcano.]]>
