Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) i...
Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods
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Publisher
Katlenburg-Lindau: Copernicus GmbH
Journal title
Language
English
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Publisher
Katlenburg-Lindau: Copernicus GmbH
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Scope and Contents
Contents
Data fusion of aerosol optical depth (AOD) datasets from the second generation of the Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2, GK-2) series was undertaken using both statistical and deep neural network (DNN)-based methods. The GK-2 mission includes an Advanced Meteorological Imager (AMI) aboard GK-2A and a Geostationary Environme...
Alternative Titles
Full title
Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_975944d9153342939786bfaec048f9e5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_975944d9153342939786bfaec048f9e5
Other Identifiers
ISSN
1867-8548,1867-1381
E-ISSN
1867-8548
DOI
10.5194/amt-17-4317-2024
