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All Journal Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Liana Fibriawati
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Computer Science & IT Earth & Planetary Sciences

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MODEL KOREKSI ATMOSFER CITRA LANDSAT-7 (ATMOSPHERIC CORRECTION MODELS OF LANDSAT-7 IMAGERY) fadila muchsin; Liana Fibriawati; Kuncoro Adhi Pradhono
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 14 No. 2 Desember 2017
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (986.806 KB) | 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. Abstrak Tiga metode koreksi atmosfer diantaranya  Second Simulation of the Satellite Signal in the Solar Spectrum (6S), Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) dan model Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) telah diterapkan pada citra Landsat-7 level 1T wilayah Jakarta. Citra yang telah terkoreksi atmosfer dibandingkan dengan citra reflektan TOA. Hasilnya menunjukkan bahwa terdapat perbaikan pola spektral pada citra reflektan TOA dengan adanya penurunan nilai reflektan setiap obyek sebesar (1 – 11) % setelah dilakukan koreksi atmosfer pada semua model untuk kanal-kanal visible (blue, green dan red). Pada kanal NIR dan SWIR terjadi kenaikan nilai spektral yaitu sekitar 1% terhadap reflektan TOA pada semua objek terkecuali objek lahan basah untuk model LEDAPS. Persentase kenaikan dan penurunan nilai spektral model 6S dan FLAASH memiliki kecenderungan yang sama. Analisis juga dilakukan terhadap nilai NDVI masing-masing model, dimana nilai NDVI relatif lebih tinggi setelah koreksi atmosfer. Nilai NDVI tanaman padi pada model FLAASH sama dengan model 6S yaitu sebesar 0.95 dan untuk lahan basah memiliki nilai yang sama antara model FLAASH dan LEDAPS yaitu 0.23. Nilai NDVI seluruh scene untuk model FLAASH = 0.63, model LEDAPS = 0.56 dan model 6S = 0.66. Sebelum koreksi atmosfer (TOA) adalah 0.45. 
KOREKSI ATMOSFER DATA LANDSAT-8 MENGGUNAKAN PARAMETER ATMOSFER DARI DATA MODIS Fadila Muchsin; Liana Fibriawati; Mulia Inda Rahayu; Hendayani Hendayani; Kuncoro Adhi Pradhono
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 16 No. 2 Desember 2019
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (646.635 KB) | DOI: 10.30536/j.pjpdcd.2019.v16.a3054

Abstract

Data Landsat-8 (level 1T) yang diterima oleh pengguna masih dalam bentuk nilai digital dan dapat digunakan secara langsung untuk pemetaan penutup /penggunaan lahan. Namun, data tersebut masih memiliki akurasi radiometrik yang rendah apabila akan digunakan untuk menurunkan informasi seperti indeks vegetasi, biomasa, klasifikasi penutup lahan /penggunaan lahan, dan sebagainya sehingga perlu dilakukan koreksi radiometrik/atmosfer. Penelitian ini menggunakan metode koreksi atmosfer second simulation of satellite in the solar spectrum (6S) untuk memperbaiki gangguan atmosfer dan membandingkan hasilnya dengan pengukuran lapangan. Parameter atmosfer yang digunakan adalah aerosol optical depth (AOD), kolom uap air dan ketebalan ozon yang bersumber dari data MODIS dengan tanggal dan jam perekaman yang mendekati dengan data Landsat-8. Dari analisis yang dilakukan terhadap nilai indeks vegetasi (NDVI, EVI, SAVI dan MSAVI) citra terkoreksi atmosfer (surface reflectance) menunjukkan bahwa indeks vegetasi yang memiliki akurasi tinggi adalah NDVI yaitu (3 – 11) % dan terendah adalah MSAVI yaitu (11 – 24) %. Hasil analisis terhadap respon spektral objek citra terkoreksi atmosfer menunjukkan bahwa kanal-kanal visible memiliki akurasi yang cukup baik dengan nilai RMSE berkisar antara (1 – 4) %. Sebaliknya akurasi terendah terdapat pada kanal inframerah dekat (NIR) dengan nilai (14 – 27) %.Kata kunci: Landsat-8, koreksi atmosfer, respon spektral, indeks vegetasi
COMPARISON OF THE RADIOMETRIC CORRECTION LANDSAT-8 IMAGE BASED ON OBJECT SPECTRAL RESPONSE AND VEGETATION INDEX Fadila Muchsin; Supriatna; Adhi Harmoko; Indah Prasasti; Mulia Inda Rahayu; Liana Fibriawati; Kuncoro Adi Pradhono
International Journal of Remote Sensing and Earth Sciences Vol. 18 No. 2 (2021)
Publisher : BRIN

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.
ANALYSIS OF SCENE COMPATIBILITIES FOR MOSAIC OF LANDSAT 8 MULTI-TEMPORAL IMAGES BASED ON RADIOMETRIC PARAMETER Haris Suka Dyatmika; Liana Fibriawati
International Journal of Remote Sensing and Earth Sciences Vol. 13 No. 1 (2016)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2016.v13.a2713

Abstract

Cloud free mosaic simplified the remote sensing imagery. Multi-temporal image mosaic needed to make a cloud free mosaic i.e. in the area covered by cloud throughout year like Indonesia. One of the satellite imagery that was widely used for various purposes was Landsat 8 image due to the temporal, spatial and spectral resolution which was suitable for many utilization themes. Landsat 8 could be used for multi-temporal image mosaic of the entire region in Indonesia. Landsat 8 had 16 days temporal resolution which allowed a region (scene image) acquired in a several times one year. However, not all the acquired Landsat 8 scene was proper when used for multi-temporal mosaic. The purpose of this work was observing radiometric parameters for scene selection method so a good multi-temporal mosaic image could be generated and more efficient processing. This study analyzed the relationship between radiometric parameters from image i.e. histogram and Scattergram with scene selection for multi-temporal mosaic purposes. Histogram and Scattergram representing radiometric imagery context such as mean, standard deviation, median and mode which was displayed visually. The data used were Landsat 8 imagery with the Area of Interest (AOI) in Kalimantan and Lombok. Then the histogram and Scattergram of the image AOI was analyzed. From the histogram and Scattergram analysis could be obtained that less shift between the data’s histogram and the more Scattergram forming 45 degree angle for distribution of the data then indicated more similar to radiometric of the image.
Co-Authors Adhi Harmoko Fadila Muchsin Fadila Muchsin fadila muchsin Haris Suka Dyatmika Hendayani Hendayani Indah Prasasti Kuncoro Adhi Pradhono Kuncoro Adi Pradhono Mulia Inda Rahayu Supriatna