文献
J-GLOBAL ID:202002267020152337
整理番号:20A2561552
MODISおよびUSA国家フェノロジーネットワークデータを用いた衛星ベースの植生生物季節学を検索するためのルールベースおよび機械学習に基づく方法の評価および比較【JST・京大機械翻訳】
Evaluations and comparisons of rule-based and machine-learning-based methods to retrieve satellite-based vegetation phenology using MODIS and USA National Phenology Network data
著者 (11件):
Xin Qinchuan
(State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China)
,
Xin Qinchuan
(School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China)
,
Xin Qinchuan
(Research Center for Ecology and Environment of Central Asia, CAS, Urumqi, 830011, China)
,
Xin Qinchuan
(University of Chinese Academy of Sciences, Beijing, 100049, China)
,
Li Jing
(School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China)
,
Li Ziming
(School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China)
,
Li Yaoming
(State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China)
,
Li Yaoming
(Research Center for Ecology and Environment of Central Asia, CAS, Urumqi, 830011, China)
,
Li Yaoming
(University of Chinese Academy of Sciences, Beijing, 100049, China)
,
Zhou Xuewen
(School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China)
,
Zhou Xuewen
(School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China)
資料名:
International Journal of Applied Earth Observation and Geoinformation
(International Journal of Applied Earth Observation and Geoinformation)
巻:
93
ページ:
Null
発行年:
2020年
JST資料番号:
W3181A
ISSN:
1569-8432
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)