Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital最新文献

{"title":"Front Pages Inderaja Vol. 15 No. 1 Juni 2018","authors":"Redaksi Jurnal","doi":"10.30536/j.pjpdcd.2018.v15.a3000","DOIUrl":"https://doi.org/10.30536/j.pjpdcd.2018.v15.a3000","url":null,"abstract":"","PeriodicalId":178419,"journal":{"name":"Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131357986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifikasi Potensi Rembesan Mikro di Lapangan Migas Melalui Deteksi Mineral Lempung Menggunakan Citra Landsat 8 OLI/TIRS, Studi Kasus Lapangan Migas Cekungan Jawa Barat Bagian Utara","authors":"T. Susantoro, Ketut Wikantika, Asep Saepuloh, A. Harsolumakso","doi":"10.30536/J.PJPDCD.2018.V15.A2779","DOIUrl":"https://doi.org/10.30536/J.PJPDCD.2018.V15.A2779","url":null,"abstract":"Clay minerals in the oil and gas field have changed with an increase of the quantities in the middle of the oil and gas field and reduction in the edges. This reduction is the effect of micro seepage from oil and gas from the subsurface. The aims of the research is to identify the potential oil and gas seepage through clay mineral mapping. The data used where Landsat 8 OLI/TIRS with recording dated September 25, 2015. The method used in the mapping of clay minerals using the ratio of 1.55-1.75 µm (Short Wave Infrared 1) and 2.08-2.35 µm (Short Wave Infrared 2). The result of Landsat 8 OLI/TIRS data processing shows the potential of anomalies in edges of the oil and gas field. The anomaly is a change in the index value of clay minerals that tend to be lower with values 1.0 to 1.5 than the middle of oil and gas field with values 1.5 to 2.0. The potential pattern of the anomaly follows the border of the oil and gas field. Field surveys show that oil and gas field based on grain size analysis is dominated by clay-sized soil. The dominant clay minerals from X-Ray Diffraction analysis are smectite (56%) and kaolinite (6%).ABSTRAKMineral lempung di lapangan migas mengalami perubahan dengan terjadinya peningkatan kandungannya pada tengah lapangan migas dan pengurangan di tepinya. Pengurangan ini merupakan efek adanya rembesan mikro dari migas yang berasal dari bawah permukaan. Kajian ini bertujuan untuk mengidentifikasi adanya potensi rembesan migas melalui pemetaan mineral lempung. Adapun data yang digunakan adalah Landsat 8 OLI/TIRS dengan perekaman tanggal 25 September 2015. Metode yang digunakan pada pemetaan mineral lempung menggunakan perbandingan panjang gelombang 1.55-1.75 µm (Short Wave Infrared 1) dengan 2.08-2.35 µm (Short Wave Infrared 2). Hasil pengolahan data Landsat 8 OLI/TIRS menunjukkan adanya potensi anomali di tepi lapangan migas. Anomali tersebut berupa perubahan nilai indeks mineral lempung yang cenderung lebih rendah yaitu dengan nilai 1,0 – 1,5 dibandingkan lokasi di tengah lapangan yaitu dengan nilai 1,5 – 2,0.  Pola potensi anomali tersebut mengikuti batas tepi lapangan migas. Survei lapangan menunjukkan bahwa pada lapangan migas berdasarkan analisis ukuran butir didominasi oleh tanah berukuran lempung. Adapun mineral lempung yang dominan dari hasil analisis XRD berupa smektit (56%) dan terdapat kaolinit (6%).","PeriodicalId":178419,"journal":{"name":"Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital","volume":"111 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121282555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Misalignment Citra Multispektral Terhadap Citra Pankromatik Pada Data Worldview-2","authors":"R. P. Brahmantara, K. Kustiyo","doi":"10.30536/j.pjpdcd.2018.v15.a2800","DOIUrl":"https://doi.org/10.30536/j.pjpdcd.2018.v15.a2800","url":null,"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.ABSTRAKData standar Worldview-2 yang dimiliki oleh LAPAN merupakan data Ortho-Ready Standard level 2 (OR2A) yang terdiri dari 4 kanal multispektral (biru, hijau, merah, NIR) dan satu kanal pankromatik masing-masing memiliki resolusi spasial 2 meter dan 0,5 meter. Kedua kanal tersebut memiliki metadata dan RPC yang berbeda, sehingga memungkinkan untuk melakukan koreksi geometrik secara terpisah. Tulisan ini membahas tentang analisis misalignment citra multispektral terhadap citra pankromatik dibandingkan dengan yang telah terkoreksi geometrik sistematik. Metode yang digunakan adalah fast fourier transform phase matching dengan mengambil 500 titik ikat antara kedua citra tersebut. Hasil pengukuran membuktikan bahwa citra multispektral data Worldview-2 level OR2A memiliki pergeseran yang lebih besar dibandingkan dengan citra multispektral yang terkoreksi geometrik sistematik. Citra multispektral data OR2A bergeser 2,14 meter pada sumbu X dan 0,42 meter pada sumbu Y. Sedangkan citra multispektral data terkoreksi geometrik sistematik bergeser 1,72 meter pada sumbu X dan 0,54 meter pada sumbu Y.","PeriodicalId":178419,"journal":{"name":"Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital","volume":"1998 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125594756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uji Ketelitian DTM ALOS PALSAR Terhadap Pengukuran Kombinasi DGNSS-Altimeter","authors":"A. Julzarika, E. K. Dewi","doi":"10.30536/J.PJPDCD.2018.V15.A2804","DOIUrl":"https://doi.org/10.30536/J.PJPDCD.2018.V15.A2804","url":null,"abstract":"Height model is model include the information of height data and its coordinate in earth surface. Height model is one of the geological parameters that are useful for a variety of applications of survey and mapping. Height model in the form of Digital Surface Model, Digital Elevation Model, Digital Terrain Model, Digital Terrain Elevation Digital, Geoid, and others. Height model can be made with data, aerial photographs, satellite imagery, and Interferometry Synthetic Aperture Radar. This research aims to test the vertical accuracy of ALOS PALSAR against the combination measurement of Differential Global Navigation Satellite System-Altimeter. Digital Surface Model is made from images of ALOS PALSAR with interferometry Synthetic Aperture Radar methods. Digital Elevation Model retrieved after height error correction and terrain correction of Digital Surface Model. Digital Terrain Model obtained after the integration of river features and bathymetry in Digital Elevation Model ALOS PALSAR.Then do the vertical accuracy test of ALOS PALSAR againts the combination measurement of Differential Global Navigation Satellite systems-Altimeter.Differential Global Navigation Satellite systems received the data from the GPS, Beidou, GLONASS, SBAS, MSAS, Gagan, and QZSS satellite and uses period of 14 days before the measurement with the time in measurement. During the measurement for processing the position data and height value. Differential Global Navigation Satellite systems was connected with server of internet provider. Region of vertical accuracy test is in Merauke regency in 2016. The tolerance standard of this vertical accuracy test refers to National Standard for Spatial Data Accuracy in 1.96 σ (95%) tolerance. From the two vertical accuracy test, height difference test and tranverse profile test, Digital Terrain Model ALOS PALSAR have fulfilled tolerance in 4,996e- 16 (~0) and 80,791 cm so it can be used for various applications of survey and mapping for 1:10.000 scale.ABSTRAKModel tinggi adalah model yang meliputi informasi data tinggi dan koordinatnya di permukaan bumi. Model tinggi merupakan salah satu parameter geologi yang bermanfaat untuk berbagai aplikasi survei dan pemetaan. Model tinggi berupa model permukaan digital, model elevasi digital, model terrain digital, model terrain elevasi digital, Geoid, dan lain-lain. Model tinggi dapat dibuat dengan data lapangan, foto udara, interferometri radar sintetis, dan citra satelit. Penelitian ini bertujuan untuk melakukan uji akurasi vertikal model terrain digital ALOS PALSAR terhadap pengukuran kombinasi diferensial sistem satelit navigasi global-Altimeter. Model permukaan digital dibuat dari citra ALOS PALSAR dengan metode interferometri radar sintetis. Model elevasi digital diperoleh setelah dilakukan koreksi kesalahan tinggi dan koreksi terrain model permukaan digital. Model terrain digital diperoleh setelah dilakukan integrasi fitur sungai dan batimetri terhadap model permukaan digital. Model terr","PeriodicalId":178419,"journal":{"name":"Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129755432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengolahan Geolokasi Produk Data Gas Rumah Kaca (GRK) dari Satelit Suomi NPP ATMS Dan CRIS Dengan Metode Interpolasi Radial Basis Function","authors":"Andy Indradjad, Haris Suka Dyatmika, N. Salyasari, Liana Fibriawati, Masnita Indriani","doi":"10.30536/J.PJPDCD.2018.V15.A2798","DOIUrl":"https://doi.org/10.30536/J.PJPDCD.2018.V15.A2798","url":null,"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. AbstrakPengolahan geolokasi untuk menghasilkan produk data gas rumah kaca (GRK) spasial yang terdiri dari gas CH4,CO2 dan N20 telah dilakukan secara sistematis. Data gas rumah kaca tersebut dihasilkan dari produk Enviomental Data Record (EDR) Satelit Suomi NPP Sensor CrIS dan ATMS. Hingga saat ini terdapat permasalahan dalam penyajian data informasi konsentrasi gas rumah kaca, yaitu file hasil pengolahan sistematis masih dalam format netcdf sehingga belum dapat didistribusikan untuk melayani kebutuhan pengguna. Format netcdf terbatas hanya menampilkan nilai berupa angka, resolusi yang tidak seragam, belum teregistrasi dan tidak compatible dengan aplikasi pengolahan data yang umumnya digunakan. Penelitian ini bertujuan untuk menghasilkan modul pengolahan geolokasi  yang dapat menyajikan informasi data gas rumah kaca secara spasial. Metode yang digunakan dalam penelitian ini adalah registrasi piksel koordinat ke dalam data citra, konversi nilai Digital Number (DN). Interpolasi nilai antar piksel menggunakan metode Radial Basis Function (RBF) dengan fungsi linier. Hasil dari penelitian ini adalah modul pengolahan geolokasi produk data yang dapat menyajikan informasi konsentrasi gas rumah kaca pada beberapa level ketinggian. Produk yang dihasilkan dalam format geotiff dengan resolusi spasial 50 km.","PeriodicalId":178419,"journal":{"name":"Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132745063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisis Model Estimasi Tinggi Muka Air Tanah Menggunakan Indek Kekeringan","authors":"Nur Febrianti, K. Murtilaksono, B. Barus","doi":"10.30536/J.PJPDCD.2018.V15.A2867","DOIUrl":"https://doi.org/10.30536/J.PJPDCD.2018.V15.A2867","url":null,"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.ABSTRAKTinggi muka air tanah lahan gambut atau secara teknis dikenal dengan kedalaman muka air tanah memegang peran penting dalam menentukan emisi gas rumah kaca dan mengatur sistem iklim global. Informasi tentang tinggi muka air yang ada saat ini masih menggunakan hasil pengukuran lapangan. Tujuan penelitian ini adalah mengevaluasi model aproksimasi terbaik untuk estimasi tinggi muka air dengan menggunakan indeks kekeringan. Penelitian ini memanfaatkan data Landsat 8 untuk menghitung Normalized Difference Water Index dan Visible and Shortwave infrared Drought Index selama 3 bulan (Maret, April dan Juni 2016). Model estimasi terbaik dipilih dengan metode koreksi Kriteria Informasi Akaike dan divalidasi menggunakan validasi silang K-Fold. Hasil penelitian ini menunjukkan bahwa estimasi tinggi muka air dipengaruhi oleh kedua indeks kekeringan tersebut dengan persamaan TMA (mm) = - 439,47 – 1639,7 * NDWI_Maret – 640,23 * NDWI_April + 477 * VSDI_Maret. Estimasi tinggi muka air mulai terdeteksi adanya hotspot berkisar antara 64,35±36,9 6 cm (27 – 101 cm). Titik kritis untuk KHG Sei Jangkang – Sei Liong adalah 27 cm, dengan demikian kedalaman tinggi muka air harus dipertahankan kurang dari itu untuk menghindari terjadinya kebakaran di lahan gambut.","PeriodicalId":178419,"journal":{"name":"Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124355735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Back Pages Inderaja Vol. 15 No. 1 Juni 2018","authors":"Redaksi Jurnal","doi":"10.30536/j.pjpdcd.2018.v15.a3001","DOIUrl":"https://doi.org/10.30536/j.pjpdcd.2018.v15.a3001","url":null,"abstract":"","PeriodicalId":178419,"journal":{"name":"Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114303342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}