文献
J-GLOBAL ID:201802239074997038
整理番号:18A1072630
土壌有機物を推定するための可視および近赤外予測モデルにおける多変量解析によるキャリブレーションセットの構築【JST・京大機械翻訳】
Construction of the Calibration Set through Multivariate Analysis in Visible and Near-Infrared Prediction Model for Estimating Soil Organic Matter
著者 (6件):
Wang Xiaomi
(School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)
,
Chen Yiyun
(School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)
,
Chen Yiyun
(State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China)
,
Chen Yiyun
(Suzhou Institute of Wuhan University, Suzhou 215123, China)
,
Guo Long
(College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China)
,
Liu Leilei
(Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China)
資料名:
Remote Sensing (Web)
(Remote Sensing (Web))
巻:
9
号:
3
ページ:
201
発行年:
2017年
JST資料番号:
U7270A
ISSN:
2072-4292
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)