文献
J-GLOBAL ID:202202264592923994
整理番号:22A0924224
Landsat8およびSentinel-2データをVIIRSデータで融合した米国コーンベルト上の圃場規模でのトウモロコシおよびダイズのフェノメトリックスのマッピング【JST・京大機械翻訳】
Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data
著者 (3件):
Shen Yu
(Geospatial Science Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD 57007, USA)
,
Zhang Xiaoyang
(Geospatial Science Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD 57007, USA)
,
Yang Zhengwei
(Research and Development Division, National Agricultural Statistics Services, United States Department of Agriculture, Washington, DC 20250, USA)
資料名:
ISPRS Journal of Photogrammetry and Remote Sensing (International Society for Photogrammetry and Remote Sensing)
(ISPRS Journal of Photogrammetry and Remote Sensing (International Society for Photogrammetry and Remote Sensing))
巻:
186
ページ:
55-69
発行年:
2022年
JST資料番号:
H0048A
ISSN:
0924-2716
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)