文献
J-GLOBAL ID:202202235705675453
整理番号:22A1046676
多時期深層学習に基づく広東-香港-マカオ大湾地域における生態系サービスのモニタリング【JST・京大機械翻訳】
Monitoring ecosystem services in the Guangdong-Hong Kong-Macao Greater Bay Area based on multi-temporal deep learning
著者 (7件):
Lu Yang
(School of Urban Design, Wuhan University, Wuhan 430072, China)
,
Yang Jiansi
(School of Urban Design, Wuhan University, Wuhan 430072, China)
,
Peng Min
(Shenyang Geotechnical Investigation & Surveying Research Institute Co., Ltd, Shenyang 110000, China)
,
Li Tian
(Shenyang Geotechnical Investigation & Surveying Research Institute Co., Ltd, Shenyang 110000, China)
,
Wen Dawei
(School of Computer Science and Engineering, Wuhan institute of Technology, Wuhan 430074, China)
,
Huang Xin
(School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)
,
Huang Xin
(State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China)
資料名:
Science of the Total Environment
(Science of the Total Environment)
巻:
822
ページ:
Null
発行年:
2022年
JST資料番号:
C0501B
ISSN:
0048-9697
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)