Classification scheme for mapping wetland herbaceous plant communities using time series Sentinel-1 and Sentinel-2 data

Wetland fine classification method | Views:2763Downloads:3034CSCD:12

Export
Share
Collection
Album

Classification scheme for mapping wetland herbaceous plant communities using time series Sentinel-1 and Sentinel-2 data
- role：First author第一作者
- Affiliation：
  Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China
  School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
  Nanchang Base of International Centre on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO,Nanchang 330022, China
- Email：zhanglinu@126.com
- Introduction：张琍，研究方向为流域及水环境遥感。E-mail： zhanglinu@126.com
ZHANG Li
125 * ,
- Affiliation：
  College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
LUO Wenting
3 * ,
- Affiliation：
  Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China
  School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
ZHANG Haohuan
12 * ,
- Affiliation：
  State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China
YIN Xiuwan
4 * ,
- Affiliation：
  College of Oceanography and Space Informatics, China University of Petroleum(East China), Qingdao 266580, China
LI Bin
6 *
Vol. 27, Issue 6, Pages: 1362-1375(2023)
DOI：10.11834/jrs.20222079
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 24 ) Tabs( 6 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

Gradient difference and pattern of urban vegetation phenology in China

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

A lightweight network for joint remote sensing image registration and change detection

Related Author

Li ZHANG 江西师范大学鄱阳湖湿地与流域研究教育部重点实验室 & 地理与环境学院;联合国教科文组织国际自然与文化遗产空间技术中心南昌分中心

Wenting LUO 华中师范大学城市与环境科学学院

Haohuan ZHANG 江西师范大学鄱阳湖湿地与流域研究教育部重点实验室 & 地理与环境学院

Xiuwan YIN 北京师范大学地理科学学部

Bin LI 中国石油大学(华东) 海洋与空间信息学院

CUI Ying 北京师范大学地理科学学部/遥感与数字地球全国重点实验室

CHEN Yunhao 北京师范大学地理科学学部/遥感与数字地球全国重点实验室

GENG Hao 北京师范大学地理科学学部/遥感与数字地球全国重点实验室

Related Institution

Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education & School of Geography and Environment, Jiangxi Normal University

The State Key Laboratory of Remote Sensing Science, Beijing Normal University

State Key Laboratory of Remote Sensing and Digital Earth/Faculty of Geographical Science, Beijing Normal University

College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing

Beijing Institute of Geological Hazard Prevention