中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimating Forest Aboveground Biomass Using Gaofen-1 Images, Sentinel-1 Images, and Machine Learning Algorithms: A Case Study of the Dabie Mountain Region, China

文献类型:期刊论文

作者Han, Haoshuang; Wan, Rongrong; Li, Bing
刊名REMOTE SENSING
出版日期2022
卷号14期号:1
源URL[http://159.226.73.51/handle/332005/21449]  
专题中国科学院南京地理与湖泊研究所
推荐引用方式
GB/T 7714
Han, Haoshuang,Wan, Rongrong,Li, Bing. Estimating Forest Aboveground Biomass Using Gaofen-1 Images, Sentinel-1 Images, and Machine Learning Algorithms: A Case Study of the Dabie Mountain Region, China[J]. REMOTE SENSING,2022,14(1).
APA Han, Haoshuang,Wan, Rongrong,&Li, Bing.(2022).Estimating Forest Aboveground Biomass Using Gaofen-1 Images, Sentinel-1 Images, and Machine Learning Algorithms: A Case Study of the Dabie Mountain Region, China.REMOTE SENSING,14(1).
MLA Han, Haoshuang,et al."Estimating Forest Aboveground Biomass Using Gaofen-1 Images, Sentinel-1 Images, and Machine Learning Algorithms: A Case Study of the Dabie Mountain Region, China".REMOTE SENSING 14.1(2022).

入库方式: OAI收割

来源:南京地理与湖泊研究所

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