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All Journal International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Liana Fibriawati, Liana
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering

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COMPARISON OF THE RADIOMETRIC CORRECTION LANDSAT-8 IMAGE BASED ON OBJECT SPECTRAL RESPONSE AND VEGETATION INDEX Muchsin, Fadila; Supriatna, .; Harmoko, Adhi; Prasasti, Indah; Rahayu, Mulia Inda; Fibriawati, Liana; Pradhono, Kuncoro Adi
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 18, No 2 (2021)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3632

Abstract

Landsat-8 standard level (level 1T) data received by users still in digital form can be used directly for land cover/land use mapping. These data have low radiometric accuracy when used to produce information such as vegetation indices, biomass, and land cover/land use classification. In this study, radiometric/atmospheric correction was conducted using FLAASH, 6S, DOS, TOA+BRDF and TOA method to eliminate atmospheric disturbances and compare the results with field measurements based on object spectral response and NDVI values. The results of the spectral measurements of objects in paddy fields at harvest time in the Cirebon Regency, West Java, Indonesia show that the FLAASH and 6S method have spectral responses that are close to those of objects in the field compared to the DOS, TOA and TOA+BRDF methods. For the NDVI value, the 6S method has the same tendency as the object's NDVI value in the field.  
MODEL KOREKSI ATMOSFER CITRA LANDSAT-7 Muchsin, Fadila; Fibriawati, Liana; Pradhono, Kuncoro Adhi
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 14 No. 2 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.1017.v14.a2595

Abstract

Three methods of atmospheric correction, Second Simulation of the Satellite Signal in the Solar Spectrum (6S), Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) and the model Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH), have been applied to the level 1T Landsat-7 image Jakarta area. The atmospheric corrected image is then compared with the TOA reflectance image. The results show that there is an improvement of the spectral pattern on the TOA reflectance image by the decrease of the reflectance value of each object by (1 - 11) % after the atmospheric correction of all models for visible bands (blue, green and red). In the NIR and SWIR bands there is an increase in the spectral value of about 1% to the TOA reflectance on all objects except wetland for the LEDAPS model. The percentage of the increase and the decrease in spectral values of 6S and FLAASH models have the same tendency. Analyzes were also performed on the NDVI values of each model, where NDVI values were relatively higher after atmospheric correction. The NDVI value of rice crop on FLAASH model is the same as 6S model that is equal to 0.95 and for wetland, it has the same value between FLAASH model and LEDAPS which is 0.23. NDVI value of entire scene for FLAASH model = 0.63, LEDAPS model = 0.56 and 6S model = 0.66. Before the atmospheric correction, the TOA is 0.45.
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.
KOREKSI ATMOSFER DATA LANDSAT-8 MENGGUNAKAN PARAMETER ATMOSFER DARI DATA MODIS Muchsin, Fadila; Fibriawati, Liana; Rahayu, Mulia Inda; Hendayani, Hendayani; Pradhono, Kuncoro Adhi
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 16 No. 2 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v16i2.3355

Abstract

Landsat-8 data (level 1T) received by user are still in digital number and can be used directly for mapping land use / land cover. However, the data still has low radiometric accuracy when it is used to derive information such as vegetation index, biomass, land use/ land cover classification, etc. so that it requires radiometric / atmospheric correction. In this study, we use the second simulation of a satellite signal in the solar spectrum (6S) method to eliminate atmospheric disturbance and compare the results with field measurements. The atmospheric parameters used were aerosol optical depth (AOD), water vapor column and ozone thickness from MODIS data with the date and time of acquisition are close to Landsat-8 data acquisition. From the analysis conducted on the values of vegetation index (NDVI, EVI, SAVI and MSAVI) surface reflectance shows that the vegetation index that has high accuracy is NDVI (3-11) % and the lowest is MSAVI (11-24) %. Analysis of the spectral response of atmospheric corrected image shows that visible band have good accuracy with RMSE values ranging from (1 - 4) %. On the contrary the lowest accuracy is found on the near infrared channel (NIR) with values (14-27) %.
Co-Authors Andy Indradjad, Andy Haris Suka Dyatmika, Haris Suka Harmoko, Adhi Hendayani, Hendayani Indah Prasasti, Indah Indriani, Masnita Muchsin, Fadila Mulia Inda Rahayu, Mulia Inda Noriandini Dewi Salyasari, Noriandini Dewi Pradhono, Kuncoro Adhi Pradhono, Kuncoro Adi Supriatna, .