文献
J-GLOBAL ID:202002256038474950
整理番号:20A2215412
Himawari-8エアロゾル光学的深さを用いたPM_2.5濃度推定のための6つの機械学習法の比較【JST・京大機械翻訳】
Comparison of Six Machine Learning Methods for Estimating PM2.5 Concentration Using the Himawari-8 Aerosol Optical Depth
著者 (6件):
Zuo Xin
(State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China)
,
Zuo Xin
(University of Chinese Academy of Sciences, Beijing, China)
,
Guo Hong
(State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China)
,
Shi Shuaiyi
(State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China)
,
Zhang Xiaochuan
(State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China)
,
Zhang Xiaochuan
(University of Chinese Academy of Sciences, Beijing, China)
資料名:
Journal of the Indian Society of Remote Sensing
(Journal of the Indian Society of Remote Sensing)
巻:
48
号:
9
ページ:
1277-1287
発行年:
2020年
JST資料番号:
W4605A
ISSN:
0255-660X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)