Remote sensing technology in the study of lake carbon cycle： Opportunities and challenges

Review | Views:1921Downloads:5043CSCD:5

Export
Share
Collection
Album

Remote sensing technology in the study of lake carbon cycle： Opportunities and challenges
- role：First author第一作者
- Affiliation：
  School of Geography, Nanjing Normal University, Nanjing 210023, China
- Email：huangchangchun@njnu.edu.cn
- Introduction：黄昌春，1982年生，男，教授，研究方向为湖泊生态环境遥感与碳循环。E-mail： huangchangchun@njnu.edu.cn
HUANG Changchun
1 * ,
- Affiliation：
  Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China
YAO Ling
23 * ,
- Affiliation：
  Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
LI Junsheng
4 * ,
- Affiliation：
  Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China
ZHOU Chenghu
23 * ,
- Affiliation：
  Henan Agricultural University, College of Resources and Environmental Sciences, Zhengzhou 450002, China
GUO Yulong
5 * ,
- Affiliation：
  School of Geography, Nanjing Normal University, Nanjing 210023, China
LI Yunmei
1 *
Vol. 26, Issue 1, Pages: 49-67(2022)
DOI：10.11834/jrs.20221220
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 7 ) Tabs( 1 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

High-resolution remote sensing estimation of gross primary productivity for China’s mountain forests based on topographically corrected near-infrared reflectance of vegetation

Spatial scale expansion method for fractional vegetation cover based on multi-resolution tree fusion

Delineating riparian zones and analyzing ecological patterns via inundation frequency： A case study of the middle-lower reaches of Yangtze River

Spatiotemporal response of aquatic vegetation in typical lakes of the Taihu Basin to “Purse Seine Demolition of Lakes and Reservoirs” from a remote‑sensing perspective

Artificial intelligence-enabled optical and SAR remote sensing for urban monitoring： Technologies， challenges， and opportunities

Related Author

Changchun Huang 南京师范大学,地理科学学院

Junsheng LI 中国科学院遥感与数字地球研究所

Yulong Guo 河南农业大学,资源与环境学院

Yunmei Li 南京师范大学,地理科学学院

CHEN Rui 西南交通大学地球科学与工程学院

XIE Jiangliu 西南交通大学地球科学与工程学院

YANG Yajie 西南交通大学地球科学与工程学院

MA Dujuan 西南交通大学地球科学与工程学院

Related Institution

Nanjing Normal University, School of Geography

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

Henan Agricultural University, College of Resources and Environmental Sciences

Faculty of Geosciences and Engineering, Southwest Jiaotong University

Advanced Interdisciplinary Institute of Satellite Applications/State Key Laboratory of Earth Surface Process and Disaster Risk Reduction, Beijing Normal University