KMS Nanjing Institute of Geography and Limnology,CAS
| Random forest: An optimal chlorophyll-a algorithm for optically complex inland water suffering atmospheric correction uncertainties | |
| Shen, Ming; Luo, Juhua; Cao, Zhigang; Xue, Kun; Qi, Tianci; Ma, Jinge; Liu, Dong; Song, Kaishan; Feng, Lian; Duan, Hongtao | |
| 2022 | |
| 发表期刊 | JOURNAL OF HYDROLOGY
 |
| 卷号 | 615 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://159.226.73.51/handle/332005/21412 |
| 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 | Shen, Ming,Luo, Juhua,Cao, Zhigang,et al. Random forest: An optimal chlorophyll-a algorithm for optically complex inland water suffering atmospheric correction uncertainties[J]. JOURNAL OF HYDROLOGY,2022,615. |
| APA | Shen, Ming.,Luo, Juhua.,Cao, Zhigang.,Xue, Kun.,Qi, Tianci.,...&Duan, Hongtao.(2022).Random forest: An optimal chlorophyll-a algorithm for optically complex inland water suffering atmospheric correction uncertainties.JOURNAL OF HYDROLOGY,615. |
| MLA | Shen, Ming,et al."Random forest: An optimal chlorophyll-a algorithm for optically complex inland water suffering atmospheric correction uncertainties".JOURNAL OF HYDROLOGY 615(2022). |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| An optimal chlorophy（24114KB） | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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