气候变化领域集成服务门户(CCPortal): Secchi Depth estimation for optically-complex waters based on spectral angle mapping - derived water classification using Sentinel-2 data

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	Secchi Depth estimation for optically-complex waters based on spectral angle mapping - derived water classification using Sentinel-2 data
	Zhou, Yadong 1,2; Liu, Hui 1,2; He, Baoyin 1; Yang, Xiaoqing 3; Feng, Qi1 ; Kutser, Tiit 4; Chen, Feng 5,6; Zhou, Xinmeng 7; Xiao, Fei 1; Kou, Jiefeng 8
发表日期	2021
卷号	v 42 期号:n 8 页码:p 3123-3145
语种	英语
来源期刊	International Journal of Remote Sensing
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/239870
作者单位	1.Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China 2.University of Chinese Academy of Sciences, Beijing, China 3.Hubei Provincial Department of Water Resources, Wuhan, China 4.Estonian Marine Institute, University of Tartu, Tallinn, Estonia 5.College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China 6.Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen, China 7.Wuhan Environmental Monitoring Center, Wuhan, China 8.South China Institute of Environmental Sciences, Guangzhou, China
推荐引用方式 GB/T 7714	Zhou, Yadong,Liu, Hui,He, Baoyin,et al. Secchi Depth estimation for optically-complex waters based on spectral angle mapping - derived water classification using Sentinel-2 data[J]. 中国科学院西北生态环境资源研究院,2021,v 42(n 8):p 3123-3145.
APA	Zhou, Yadong.,Liu, Hui.,He, Baoyin.,Yang, Xiaoqing.,Feng, Qi.,...&Kou, Jiefeng.(2021).Secchi Depth estimation for optically-complex waters based on spectral angle mapping - derived water classification using Sentinel-2 data.International Journal of Remote Sensing,v 42(n 8),p 3123-3145.
MLA	Zhou, Yadong,et al."Secchi Depth estimation for optically-complex waters based on spectral angle mapping - derived water classification using Sentinel-2 data".International Journal of Remote Sensing v 42.n 8(2021):p 3123-3145.