文献
J-GLOBAL ID:202202232763225887
整理番号:22A1180300
高分解能リモートセンシングを用いたカキ養殖場選択:米国メーン湾における事例研究【JST・京大機械翻訳】
Oyster Aquaculture Site Selection Using High-Resolution Remote Sensing: A Case Study in the Gulf of Maine, United States
著者 (8件):
Jiang Binbin
(State Key Laboratory of Marine Geology, Tongji University, Shanghai, China)
,
Jiang Binbin
(School of Marine Sciences, University of Maine, Orono, ME, United States)
,
Boss Emmanuel
(School of Marine Sciences, University of Maine, Orono, ME, United States)
,
Kiffney Thomas
(Darling Marine Center, University of Maine, Walpole, ME, United States)
,
Hesketh Gabriel
(School of Marine Sciences, University of Maine, Orono, ME, United States)
,
Bourdin Guillaume
(School of Marine Sciences, University of Maine, Orono, ME, United States)
,
Fan Daidu
(State Key Laboratory of Marine Geology, Tongji University, Shanghai, China)
,
Brady Damian C.
(Darling Marine Center, University of Maine, Walpole, ME, United States)
資料名:
Frontiers in Marine Science (Web)
(Frontiers in Marine Science (Web))
巻:
9
ページ:
802438
発行年:
2022年
JST資料番号:
U7076A
ISSN:
2296-7745
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)