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Aerosol optical depth (AOD) retrieval for atmospheric correction in Landsat-8 imagery using second simulation of a satellite signal in the solar spectrum-vector (6SV)

Communications in Science and Technology · Vol. 4 No. 2 (2019) · hlm. 68–73

DOI
10.21924/cst.4.2.2019.122
ISSN
2502-9266, 2502-9258
Terbit
2019-12-30
Penerbit
Komunitas Ilmuwan dan Profesional Muslim Indonesia
Bahasa
eng

Abstrak

Atmospheric correction has been challenging task in digital image processing. It requires several atmospheric parameters in order to obtain accurate surface reflectance of objects within the image scene. One of the most crucial parameters required for accurate atmospheric correction is aerosol optical depth (AOD). AOD can be obtained by in-situ measurement or estimated from remote sensing observation. In this experiment, atmospheric correction was performed using second simulation of a satellite signal in the solar spectrum-vector (6SV) algorithm on Landsat-8 imagery in which AOD parameter was retrieved from surface reflectance inversion involving daily-global surface reflectance product of moderate resolution imaging spectroradiometer (MODIS). Furthermore, AOD retrieved from surface reflectance inversion was also validated using ground-based sun photometer observation data from aerosol robotic network (AERONET) station in Bandung, Indonesia. Our experiment shows the consistency between AOD from surface reflectance inversion and AOD from ground-based observation. Finally, 6SV was performed on Landsat-8 imagery to obtain the surface reflectance. We further compared surface reflectance of 6SV atmospheric correction and surface reflectance of Landsat-8 Level 2 product. The atmospherically corrected image also shared agreeable result with Landsat 8 Level-2 product.

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  • Sumatera Institute of Technology
  • National Research and Innovation Agency
  • Universitas Gadjah Mada
  • University of Indonesia
  • Udayana University
  • Bandung Institute of Technology
  • University of California, Davis
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Rekan penulisOrganisasiArtikel bersama
A. A. Md. Ananda Putra SuardanaNational Research and Innovation Agency2
Redho Surya PerdanaSumatera Institute of Technology2
Nanin AnggrainiNational Research and Innovation Agency1
Muhammad Rizki NandikaNational Research and Innovation Agency1
Kholifatul AzizNational Research and Innovation Agency1
Abd. Rahman As-syakurUdayana University1
Azura UlfaNational Research and Innovation Agency1
Agung Dwi WijayaNational Research and Innovation Agency1
Wiji PrasetioNational Research and Innovation Agency1
Ratih DewantiNational Research and Innovation Agency1
Yahya DwikarsaUniversitas Gadjah Mada1
Arif RohmanSumatera Institute of Technology1
Adam Irwansyah FauziSumatera Institute of Technology1
Nesya Hafiza ArdaniSumatera Institute of Technology1
Rian NurtyawanBandung Institute of Technology1
Aynaz LotfataUniversity of California, Davis1
Masita Dwi Mandini ManessaUniversity of Indonesia1
Novi Susetyo AdiMinistry of Marine Affairs and Fisheries1
Kuncoro Teguh SetiawanNational Research and Innovation Agency1
Mohammad Syamsu RosidUniversity of Indonesia1
Takahiro OsawaYamaguchi University1
Wikanti AsriningrumIndonesian National Institute of Aeronautics and Space1
Agustinus Harsono SupardjoUniversity of Indonesia1
Alif Farhan PramudyaSumatera Institute of Technology1
Retnadi Heru JatmikoUniversitas Gadjah Mada1
Bonifasius Efraim LaiaSumatera Institute of Technology1
Rainaldy HusainSumatera Institute of Technology1
Danang SetiajiAfiliasi tidak diketahui1
Een Lujainatul IsnainiSumatera Institute of Technology1
Aulia Try AtmojoSumatera Institute of Technology1

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Sumber metadata: OAI-PMH (metadata jurnal) https://cst.kipmi.or.id/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Aerosol optical depth (AOD) retrieval for atmospheric correction in Landsat-8 imagery using second simulation of a satellite signal in the solar spectrum-vector (6SV)</dc:title>
	<dc:creator>Basith, Abdul</dc:creator>
	<dc:creator>Nuha, Muhammad Ulin</dc:creator>
	<dc:creator>Prastyani, Ratna</dc:creator>
	<dc:creator>Winarso, Gathot</dc:creator>
	<dc:subject xml:lang="en-US">AOD</dc:subject>
	<dc:subject xml:lang="en-US">6SV</dc:subject>
	<dc:subject xml:lang="en-US">Landsat-8</dc:subject>
	<dc:subject xml:lang="en-US">MODIS</dc:subject>
	<dc:subject xml:lang="en-US">surface reflectance</dc:subject>
	<dc:description xml:lang="en-US">Atmospheric correction has been challenging task in digital image processing. It requires several atmospheric parameters in order to obtain accurate surface reflectance of objects within the image scene. One of the most crucial parameters required for accurate atmospheric correction is aerosol optical depth (AOD). AOD can be obtained by in-situ measurement or estimated from remote sensing observation. In this experiment, atmospheric correction was performed using second simulation of a satellite signal in the solar spectrum-vector (6SV) algorithm on Landsat-8 imagery in which AOD parameter was retrieved from surface reflectance inversion involving daily-global surface reflectance product of moderate resolution imaging spectroradiometer (MODIS). Furthermore, AOD retrieved from surface reflectance inversion was also validated using ground-based sun photometer observation data from aerosol robotic network (AERONET) station in Bandung, Indonesia. Our experiment shows the consistency between AOD from surface reflectance inversion and AOD from ground-based observation. Finally, 6SV was performed on Landsat-8 imagery to obtain the surface reflectance. We further compared surface reflectance of 6SV atmospheric correction and surface reflectance of Landsat-8 Level 2 product. The atmospherically corrected image also shared agreeable result with Landsat 8 Level-2 product.</dc:description>
	<dc:publisher xml:lang="en-US">Komunitas Ilmuwan dan Profesional Muslim Indonesia</dc:publisher>
	<dc:date>2019-12-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://cst.kipmi.or.id/journal/article/view/122</dc:identifier>
	<dc:identifier>10.21924/cst.4.2.2019.122</dc:identifier>
	<dc:source xml:lang="en-US">Communications in Science and Technology; Vol. 4 No. 2 (2019); 68-73</dc:source>
	<dc:source xml:lang="id-ID">Communications in Science and Technology; Vol 4 No 2 (2019); 68-73</dc:source>
	<dc:source>2502-9266</dc:source>
	<dc:source>2502-9258</dc:source>
	<dc:source>10.21924/cst.4.2.2019</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://cst.kipmi.or.id/journal/article/view/122/62</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Communications in Science and Technology</dc:rights>
</oai_dc:dc>