Random forest: An optimal chlorophyll-a algorithm for optically complex inland water suffering atmospheric correction uncertainties
文献类型：期刊论文
| 作者 | Shen, Ming; Luo, Juhua; Cao, Zhigang; Xue, Kun; Qi, Tianci; Ma, Jinge; Liu, Dong; Song, Kaishan; Feng, Lian; Duan, Hongtao |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2022 |
| 卷号 | 615 |
| 源URL | [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). |
入库方式： OAI收割
来源：南京地理与湖泊研究所
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