文献
J-GLOBAL ID:201802265788321342
整理番号:18A1073097
ランドサット多重スペクトルスキャナとコロナの相乗的利用による歴史的土地被覆型と複雑性の再構築【JST・京大機械翻訳】
Reconstructing Historical Land Cover Type and Complexity by Synergistic Use of Landsat Multispectral Scanner and CORONA
著者 (18件):
Shahtahmassebi Amir Reza
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Lin Yue
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Lin Lin
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Atkinson Peter M.
(Faculty of Science and Technology, Lancaster University, Bailrigg, Lancaster LA1 4YQ, UK)
,
Moore Nathan
(Department of Geography, Michigan State University, East Lansing, MI 48823, USA)
,
Wang Ke
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
He Shan
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Huang Lingyan
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Wu Jiexia
(Department of Atmospheric Oceanic and Earth Science, George Mason University, VA 22030, USA)
,
Shen Zhangquan
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Gan Muye
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Zheng Xinyu
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Su Yue
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Teng Hongfen
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Li Xiaoyan
(Department of Earth Science, Jilin University, Changchun 130061, China)
,
Deng Jinsong
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Sun Yuanyuan
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
,
Zhao Mengzhu
(Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)
資料名:
Remote Sensing (Web)
(Remote Sensing (Web))
巻:
9
号:
7
ページ:
682
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)