文献
J-GLOBAL ID:201702276213699218
整理番号:17A1122884
可視および近赤外スペクトル技術に基づく予測土壌炭素含量の空間的および非空間的モデルの比較【Powered by NICT】
Comparisons of spatial and non-spatial models for predicting soil carbon content based on visible and near-infrared spectral technology
著者 (12件):
Guo Long
(College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China)
,
Zhao Chang
(Geographical and Sustainability Sciences, The University of Iowa, Iowa City 52246, USA)
,
Zhang Haitao
(College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China)
,
Chen Yiyun
(Suzhou Institute of Wuhan University, Suzhou 215123, China)
,
Chen Yiyun
(School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China)
,
Chen Yiyun
(Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China)
,
Linderman M.
(Geographical and Sustainability Sciences, The University of Iowa, Iowa City 52246, USA)
,
Zhang Qing
(College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China)
,
Liu Yaolin
(Suzhou Institute of Wuhan University, Suzhou 215123, China)
,
Liu Yaolin
(School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China)
,
Liu Yaolin
(Collaborative Innovation Platform for Geospatial Information Technology, Wuhan University, Wuhan 430079, China)
,
Liu Yaolin
(Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China)
資料名:
Geoderma
(Geoderma)
巻:
285
ページ:
280-292
発行年:
2017年
JST資料番号:
E0256B
ISSN:
0016-7061
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)