Remote sensing of total suspended matter concentration and turbidity in a macrophytic lake

Views:954Downloads:1770CSCD:0

Export
Share
Collection
Album

Remote sensing of total suspended matter concentration and turbidity in a macrophytic lake
- role：First author第一作者
- Affiliation：
  College of Environmental Science and Engineering, Donghua University, Shanghai 201620, China
  Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
- Email：yinc0416@163.com
- Introduction：曹引，1991年生，男，工程师，研究方向为流域水资源遥感及水循环模型数据同化。E-mail：yinc0416@163.com
CAO Yin
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
- Email：yeyuntao@iwhr.com
- Introduction：冶运涛，1983年生，男，高级工程师，研究方向为水信息与智慧流域、流域水循环模拟及水资源遥感。E-mail：yeyuntao@iwhr.com
YE Yuntao
2 * ,
- Affiliation：
  Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
ZHAO Hongli
2 * ,
- Affiliation：
  Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
JIANG Yunzhong
2 * ,
- Affiliation：
  College of Environmental Science and Engineering, Donghua University, Shanghai 201620, China
  Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
WANG Hao
12 *
Vol. 23, Issue 6, Pages: 1253-1268(2019)
Accepted：06 June 2018 ，
DOI：10.11834/jrs.20198144
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 10 ) Tabs( 0 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

Small wetland extraction based on Sentinel-1 time-series data and MultiRocket-RF model

Soybean identification and extraction method based on spectral characteristics of Sentinel-2 time-series images

迁移学习方法提取高分一号影像汶川地震震后滑坡

Evapotranspiration estimation and validation at 16 m resolution based on ETMonitor model driven by GF-1 satellite remote sensing datasets

GF-1 leaf area index product across China based on three-dimensional stochastic radiation transfer model

Related Author

SHI Yiwen 上海师范大学环境与地理科学学院

YU Qinping 上海师范大学环境与地理科学学院

LIN Wenpeng 上海师范大学环境与地理科学学院;上海长三角城市湿地生态系统国家野外科学观测研究站

LUO Wang 中国地质大学(北京) 信息工程学院;中国科学院空天信息创新研究院数字地球重点实验室

PENG Dailiang 中国科学院空天信息创新研究院数字地球重点实验室

LIU Jinxiu 中国地质大学(北京) 信息工程学院

XU Junfeng 杭州师范大学遥感与地球科学研究院

LOU Zihang 中国科学院空天信息创新研究院数字地球重点实验室

Related Institution

School of Environmental and Geographical Sciences, Shanghai Normal University

Yangtze River Delta Urban Wetland Ecosystem National Field Scientific Observation and Research Station

School of Information Engineering, China University of Geosciences

Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences

Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University