文献
J-GLOBAL ID:202202234404184545
整理番号:22A0438517
Landsat画像と重みランダム森林モデルを用いた中国の主な河口における全懸濁物質の遠隔推定【JST・京大機械翻訳】
Remote estimates of total suspended matter in China’s main estuaries using Landsat images and a weight random forest model
著者 (7件):
Wang Xiang
(Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China)
,
Wang Xiang
(University of Chinese Academy of Sciences, Beijing 100049, China)
,
Wen Zhidan
(Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China)
,
Liu Ge
(Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China)
,
Tao Hui
(Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China)
,
Tao Hui
(University of Chinese Academy of Sciences, Beijing 100049, China)
,
Song Kaishan
(Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China)
資料名:
ISPRS Journal of Photogrammetry and Remote Sensing (International Society for Photogrammetry and Remote Sensing)
(ISPRS Journal of Photogrammetry and Remote Sensing (International Society for Photogrammetry and Remote Sensing))
巻:
183
ページ:
94-110
発行年:
2022年
JST資料番号:
H0048A
ISSN:
0924-2716
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)