文献
J-GLOBAL ID:202002291416825647
整理番号:20A2626884
深層学習によるスペクトル表面反射率の関係構築による土地上のエアロゾル光学的深さ検索の改善:Himawari-8への適用【JST・京大機械翻訳】
Refining aerosol optical depth retrievals over land by constructing the relationship of spectral surface reflectances through deep learning: Application to Himawari-8
著者 (6件):
Su Tianning
(Department of Atmospheric and Oceanic Science and ESSIC, University of Maryland, College Park, MD 20740, USA)
,
Laszlo Istvan
(Department of Atmospheric and Oceanic Science and ESSIC, University of Maryland, College Park, MD 20740, USA)
,
Laszlo Istvan
(Center for Satellite Applications and Research, NOAA/NESDIS, College Park, MD 20740, USA)
,
Li Zhanqing
(Department of Atmospheric and Oceanic Science and ESSIC, University of Maryland, College Park, MD 20740, USA)
,
Wei Jing
(Department of Atmospheric and Oceanic Science and ESSIC, University of Maryland, College Park, MD 20740, USA)
,
Kalluri Satya
(Center for Satellite Applications and Research, NOAA/NESDIS, College Park, MD 20740, USA)
資料名:
Remote Sensing of Environment
(Remote Sensing of Environment)
巻:
251
ページ:
Null
発行年:
2020年
JST資料番号:
C0252B
ISSN:
0034-4257
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)