Quantification of chlorophyll-a in typical lakes across China using Sentinel-2 MSI imagery with machine learning algorithm-Reference-Cited by-同舟云学术

Quantification of chlorophyll-a in typical lakes across China using Sentinel-2 MSI imagery with machine learning algorithm

Published:2021-07 Issue: Volume:778 Page:146271
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Li Sijia,Song Kaishan,Wang Shuai,Liu Ge,Wen Zhidan,Shang Yingxin,Lyu Lili,Chen Fangfang,Xu Shiqi,Tao Hui,Du Yunxia,Fang Chong,Mu Guangyi

Funder

Northeast Institute of Geography and Agroecology Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference62 articles.

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