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

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Pemilihan Area Alternatif Pantai Pendaratan Amfibi Dengan Menggunakan Citra Satelit Pleiades (Studi Kasus Pulau Bunguran-Natuna) Dwi Wijatmiko, Robi; Qisthi Amarona, Moh; Muchsin, Fadila
Jurnal Chart Datum Vol. 7 No. 1 (2021): JURNAL CHART DATUM
Publisher : Sekolah Tinggi Teknologi Angkatan Laut (STTAL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37875/chartdatum.v7i1.204

Abstract

Operasi amfibi merupakan salah satu proyeksi kekuatan militer dengan jalan mengintegrasikan berbagai jenis kekuatan kapal, pesawat udara, dan pasukan pendarat dalam suatu serangan terhadap Pantai musuh. Dengan berkembangannya teknologi penginderaan jauh citra satelit saat ini diharapkan mampu untuk memberikan informasi- informasi terkait tentang pelaksanaan operasi pendaratan amfibi. Penelitian dilakukan di Pulau Bunguran Natuna dengan menggunakan citra satelit resolusi sangat tinggi Pleiades milik Airbus Defense and Space yang mempunyai resolusi spektral 0,5 meter. Dalam penggabungan citra satelit dan peralatan analisa spasial (yaitu indeks vegetasi, klasifikasi, dan regresi), informasi di area Pesisir seperti, batas garis Pantai , komposisi dasar laut, dan batimetri dapat di sediakan. Sebagai hasilnya, pada penelitian ini menggunakan dan menganalisa citra satelit Pleiades untuk pemilihan area terkait mendukung latihan dan operasi pendaratan amfibi dan memberikan informasi yang diperlukan dalam pelaksanaannya.
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.
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) %.
Analisis Perubahan Tutupan Lahan dari Citra TerraSAR-X Menggunakan Metode Analisis Texture dan Segmentasi di Jakarta Dyatmika, Haris Suka; Sari, Inggit Lolita; Muchsin, Fadila; Indriasari, Novie; Budiono, Marendra Eko
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 17 No. 1 (2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v17i1.3360

Abstract

Rapid urban growth in Jakarta is indicated by the increases of building area, such as settlements, roads, commercial and others. Identification of land cover extent and its changes is a vital data for urban planning. One method for land cover mapping and its changes is obtained by the utilization of remote sensing data that characterize as having a continuity data, covers a vast area, and cost-effective. Remote sensing data can be obtained from optical and radar imagery. Radar data importance for mapping land cover and land cover changes because radar data does not constrain by time and weather. In early 2018, the TerraSAR-X (TSX) data can be acquired at the LAPAN Parepare ground station. This research uses the TSX Stripmap image mode with a spatial resolution of 3 m in 2010 and 2013. The TSX data will be used to map the land cover and land cover changes in Jakarta using method of the texture analysis and image segmentation. The accuracy assessment of the map will be assessed visually and quantitatively using the Pleiades images (0.5 m) and Google Earth images. The results show that the TSX images detect the current developments of settlements, new roads construction and provide information on the loss of green open space in Jakarta.
Co-Authors Dwi Wijatmiko, Robi Haris Suka Dyatmika, Haris Suka Harmoko, Adhi Hendayani, Hendayani Indah Prasasti, Indah Inggit Lolita Sari, Inggit Lolita Liana Fibriawati, Liana Marendra Eko Budiono, Marendra Eko Mulia Inda Rahayu, Mulia Inda Novie Indriasari, Novie Pradhono, Kuncoro Adhi Pradhono, Kuncoro Adi Qisthi Amarona, Moh Supriatna, .