文献
J-GLOBAL ID:201702213597618852
整理番号:17A1707963
衛星高分解能収量推定の精度の改善:複数のスケーラブルアプローチの試験【Powered by NICT】
Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches
著者 (3件):
Jin Zhenong
(Department of Earth System Science and Center on Food Security and the Environment, Stanford University, Stanford, CA, 94305, USA)
,
Azzari George
(Department of Earth System Science and Center on Food Security and the Environment, Stanford University, Stanford, CA, 94305, USA)
,
Lobell David B.
(Department of Earth System Science and Center on Food Security and the Environment, Stanford University, Stanford, CA, 94305, USA)
資料名:
Agricultural and Forest Meteorology
(Agricultural and Forest Meteorology)
巻:
247
ページ:
207-220
発行年:
2017年
JST資料番号:
C0901A
ISSN:
0168-1923
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)