Remote sensing estimation of suspended sediment concentration based on Random Forest Regression Model

FANG Xinrui; WEN Zhaofei; CHEN Jilong; WU Shengjun; HUANG Yuanyang; MA Maohua

doi:10.11834/jrs.20197498

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Remote sensing estimation of suspended sediment concentration based on Random Forest Regression Model
- role：First author第一作者
- Affiliation：
  Chongqing Institute of Green and Intelligent Technology, Key Laboratory of Reservoir Aquatic Environment, Chinese Academy of Sciences, Chongqing 400714, China
  University of Chinese Academy of Sciences, Beijing 100049,China
- Email：fangxinrui15@mails.ucas.ac.cn
- Introduction：方馨蕊，1993年生，男，硕士研究生，研究方向为环境生态。E-mail：fangxinrui15@mails.ucas.ac.cn
FANG Xinrui
12 * ,
- Affiliation：
  Chongqing Institute of Green and Intelligent Technology, Key Laboratory of Reservoir Aquatic Environment, Chinese Academy of Sciences, Chongqing 400714, China
WEN Zhaofei
1 * ,
- Affiliation：
  Chongqing Institute of Green and Intelligent Technology, Key Laboratory of Reservoir Aquatic Environment, Chinese Academy of Sciences, Chongqing 400714, China
CHEN Jilong
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  Chongqing Institute of Green and Intelligent Technology, Key Laboratory of Reservoir Aquatic Environment, Chinese Academy of Sciences, Chongqing 400714, China
  University of Chinese Academy of Sciences, Beijing 100049,China
- Email：wsj@cigit.ac.cn
- Introduction：吴胜军，1971年生，男，研究员，研究方向为地理信息工程与环境生态。E-mail：wsj@cigit.ac.cn
WU Shengjun
12 * ,
- Affiliation：
  Chongqing Institute of Green and Intelligent Technology, Key Laboratory of Reservoir Aquatic Environment, Chinese Academy of Sciences, Chongqing 400714, China
HUANG Yuanyang
1 * ,
- Affiliation：
  Chongqing Institute of Green and Intelligent Technology, Key Laboratory of Reservoir Aquatic Environment, Chinese Academy of Sciences, Chongqing 400714, China
  University of Chinese Academy of Sciences, Beijing 100049,China
MA Maohua
12 *
Vol. 23, Issue 4, Pages: 756-772(2019)
Accepted：04 April 2018 ，
DOI：10.11834/jrs.20197498
Accepted：

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Remote sensing estimation of suspended sediment concentration based on Random Forest Regression Model

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Remote sensing estimation of suspended sediment concentration based on Random Forest Regression Model

FANG Xinrui

WEN Zhaofei

CHEN Jilong

WU Shengjun

HUANG Yuanyang

MA Maohua

DOI：10.11834/jrs.20197498

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