River discharge estimation by integrating Sentinel-2 and machine learning： A case study of the Tangnaihai Hydrometry Station

YIN Wenjie; WANG Xuelei; WANG Chen; WANG Hang; HUANG Caisheng; ZHAO Ruixue; MENG Fanle; LIU Jinxiu

doi:10.11834/jrs.20265294

Remote Sensing Monitoring of Aquatic Eco-environment | Views:1101Downloads:1374CSCD:0

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River discharge estimation by integrating Sentinel-2 and machine learning： A case study of the Tangnaihai Hydrometry Station
“The research team integrated satellite remote sensing and machine learning methods to conduct river flow monitoring research at the Tangnaihai hydrological station in the Yellow River source area, confirming the feasibility and superiority of combining satellite remote sensing and machine learning methods for high-precision flow estimation in complex terrain and data scarce areas, laying the foundation for the construction of hydrological monitoring systems.”
- role：First author第一作者
- Affiliation：
  Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China
  Key Laboratory of Satellite Remote Sensing, Ministry of Ecology and Environment, Beijing 100094, China
- Email：wjyin1991@163.com
- Introduction：尹文杰，研究方向为水生态环境遥感监测。E-mail： wjyin1991@163.com
YIN Wenjie
12 * ,
- Affiliation：
  Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China
  Key Laboratory of Satellite Remote Sensing, Ministry of Ecology and Environment, Beijing 100094, China
WANG Xuelei
12 * ,
- Affiliation：
  Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China
  Key Laboratory of Satellite Remote Sensing, Ministry of Ecology and Environment, Beijing 100094, China
WANG Chen
12 * ,
- Affiliation：
  Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China
  Key Laboratory of Satellite Remote Sensing, Ministry of Ecology and Environment, Beijing 100094, China
WANG Hang
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  School of Information Engineering, China University of Geosciences, Beijing 100083, China
- Email：1250778545@qq.com
- Introduction：黄才声，研究方向为水生态环境遥感监测。E-mail： 1250778545@qq.com
HUANG Caisheng
3 * ,
- Affiliation：
  Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China
  Key Laboratory of Satellite Remote Sensing, Ministry of Ecology and Environment, Beijing 100094, China
ZHAO Ruixue
12 * ,
- Affiliation：
  Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China
  Key Laboratory of Satellite Remote Sensing, Ministry of Ecology and Environment, Beijing 100094, China
MENG Fanle
12 * ,
- Affiliation：
  School of Information Engineering, China University of Geosciences, Beijing 100083, China
LIU Jinxiu
3 *
Vol. 30, Issue 7, Pages: 2070-2082(2026)
DOI：10.11834/jrs.20265294
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River discharge estimation by integrating Sentinel-2 and machine learning： A case study of the Tangnaihai Hydrometry Station

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River discharge estimation by integrating Sentinel-2 and machine learning： A case study of the Tangnaihai Hydrometry Station

YIN Wenjie

WANG Xuelei

WANG Chen

WANG Hang

HUANG Caisheng

ZHAO Ruixue

MENG Fanle

LIU Jinxiu

DOI：10.11834/jrs.20265294

AI Introduction

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