Andy Indradjad, Andy
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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 Juni 2018
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.902 KB) | 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. 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.
ESTIMATION OF RADIOMETRIC PERFORMANCE OF ELEKCTRO-OPTICAL IMAGING SENSOR OF LOW EARTH EQUATORIAL ORBIT LAPAN SATTELITE Maryanto, Ahmad; Indradjad, Andy; Sirin, Dinari Nikken; Widipaminto, Ayom
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 9, No 1 (2012)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1187.537 KB) | DOI: 10.30536/j.ijreses.2012.v9.a1825

Abstract

Study  of  spectro-radiometric  performance  of  electro-optical  imager  which  is planned  to  be  launched  on  low  earth  equatorial  orbit  LAPAN  satellite  was  conducted through  simulative  calculation  of  image  irradiance  and  its  associated  generated  voltage  at the image detector output. Simulative calculation was applied to three scenarios of selected spectral  bands.  Those  spectral  bands  were  selected  spectra  (1),  which  consisted  of  spectral bands  B = (390-540 and 790-900) nm,  G = (470-610 and 700-900 )  nm, and R = (590-650 and 650-900) nm; selected spectra (2) consisted  of B1 = (390-540) nm,  G1 = (470-610) nm, and  R1  =  (590-650)  nm;  and  selected  spectra  (3)  consisted  of  B1(Green)  =  (525-605)  nm, B2(Red) = (630-690) nm, and B3(NIR) = (750-900) nm, on three scenarios of optical aperture or f-number (N)  2.8, 4.0, and  5.6.  Green grasses, dry  grasses, and conifers  were examples of the imaged target, chosen as representation of vegetations. Kodak KLI-8023 was used as the  optical  detector.  The  integration  time  was  assumed  3  miliseconds  which  correspond  to about 20 m ground sampling distance (GSD). Solar zenith angle were varying from 90 (early morning)  to  0  (solar  noon).  The  results  showed  that  option  (3)  of  selected  spectra,  as proposed  for  pushbroom  imager  of  LAPAN  satellite,  was  relatively  accepted  to  be implemented  and  complemented  with  f-number  4.0  of  optical  system  used.  Whereas simulation RGB color displayed  composed by R = B2(Red), G = B3(NIR), B = B1(Green) also showed a greenish color sense as expected for vegetation imaged target.
TECHNIQUE TO RECONSTRUCT BAND 6 REFLECTANCE INFORMATION OF AQUA MODIS Indradjad, Andy; Salyasari, Noriandini Dewi; Arief, Rahmat
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 13, No 2 (2016)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (616.467 KB) | DOI: 10.30536/j.ijreses.2016.v13.a2449

Abstract

Remote sensing data could experience damage due to sensor failure or atmospheric condition. Reconstruction technique to retrieve the missing information had been widely developed in the past few years. This writing aimed to provide a technique to recover reflectance information of Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Band 6. Since Band 6 Aqua MODIS experienced sensor failure, lots of information would be missing. There were three kinds of methods used in repairing such damage. Two of which were categorized as spatial-based methods, i.e. NaN interpolation method and tensor completion method. Whereas, another method was a spectral-based one. NaN was an interpolation method to reconstruct missing value; while tensor completion method utilized low rank approximation, and spectral method used correlation between Band 6 and Band 7 which had near wavelength. Implementation of these methods was resulted in reconstruction of Aqua Modis Band 6 data which was damaged due to detector disfunction on Aqua Satellite. Peak Signal to Noise Ratio (PSNR) value of this method was 41 dB, meaning that reconstruction technique provided positive impacts for data improvement.