文献
J-GLOBAL ID:202002223719533515
整理番号:20A1622877
オブジェクトベース画像解析(OBIA)技術を用いた森林炭素ストックの高分解能マッピング【JST・京大機械翻訳】
High-Resolution Mapping of Forest Carbon Stock Using Object-Based Image Analysis (OBIA) Technique
著者 (7件):
Pandey Sanjay Kumar
(Department of Botany, DAV PG College, Gorakhpur, India)
,
Chand Narendra
(Nepal Forester’s Association, Kathmandu, Nepal)
,
Nandy Subrata
(Dept. of Space, Indian Institute of Remote Sensing, Indian Space Research Organisation, Govt. of India, Dehradun, India)
,
Muminov Abulqosim
(Department of Agrometeorology, Agency for Hydrometeorology, Dushanbe, Tajikistan)
,
Sharma Anchit
(PT. Riau Andalan Pulp and Paper, Pangkalan Kerinci, Indonesia)
,
Ghosh Surajit
(International Water Management Institute, Colombo, Sri Lanka)
,
Srinet Ritika
(Dept. of Space, Indian Institute of Remote Sensing, Indian Space Research Organisation, Govt. of India, Dehradun, India)
資料名:
Journal of the Indian Society of Remote Sensing
(Journal of the Indian Society of Remote Sensing)
巻:
48
号:
6
ページ:
865-875
発行年:
2020年
JST資料番号:
W4605A
ISSN:
0255-660X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)