中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Water clarity mapping of global lakes using a novel hybrid deep-learning-based recurrent model with Landsat OLI images

文献类型:期刊论文

作者He, Yuan; Lu, Zheng; Wang, Weijia; Zhang, Dong; Zhang, Yunlin; Qin, Boqiang; Shi, Kun; Yang, Xiaofan
刊名WATER RESEARCH
出版日期2022
卷号215
源URL[http://159.226.73.51/handle/332005/21430]  
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
He, Yuan,Lu, Zheng,Wang, Weijia,et al. Water clarity mapping of global lakes using a novel hybrid deep-learning-based recurrent model with Landsat OLI images[J]. WATER RESEARCH,2022,215.
APA He, Yuan.,Lu, Zheng.,Wang, Weijia.,Zhang, Dong.,Zhang, Yunlin.,...&Yang, Xiaofan.(2022).Water clarity mapping of global lakes using a novel hybrid deep-learning-based recurrent model with Landsat OLI images.WATER RESEARCH,215.
MLA He, Yuan,et al."Water clarity mapping of global lakes using a novel hybrid deep-learning-based recurrent model with Landsat OLI images".WATER RESEARCH 215(2022).

入库方式: OAI收割

来源:南京地理与湖泊研究所

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