文献
J-GLOBAL ID:202102234221421752
整理番号:21A1116311
フロリダアメリカにおける正規化リモートセンシング画像を用いた長葉マツ回復のための森林特性の推定【JST・京大機械翻訳】
Estimating Forest Characteristics for Longleaf Pine Restoration Using Normalized Remotely Sensed Imagery in Florida USA
著者 (7件):
Hogland John
(Rocky Mountain Research Station, U.S. Forest Service, Missoula, MT 59801, USA)
,
Affleck David L.R.
(W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA)
,
Anderson Nathaniel
(Rocky Mountain Research Station, U.S. Forest Service, Missoula, MT 59801, USA)
,
Seielstad Carl
(W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA)
,
Dobrowski Solomon
(W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA)
,
Graham Jon
(Department of Mathematical Sciences, University of Montana, Missoula, MT 59812, USA)
,
Smith Robert
(Department of Computer Science, University of Montana, Missoula, MT 59812, USA)
資料名:
Forests (Web)
(Forests (Web))
巻:
11
号:
4
ページ:
426
発行年:
2020年
JST資料番号:
U7188A
ISSN:
1999-4907
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)