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
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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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