UNVI multidimensional dataset of 2017 China’s terrestrial at 1∶1 000000 scale

Data Paper | Views:1134Downloads:1547CSCD:2

Export
Share
Collection
Album

UNVI multidimensional dataset of 2017 China’s terrestrial at 1∶1 000000 scale
- role：First author第一作者
- Affiliation：
  Aerospace Information Research Institute, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
- Email：zhanglf@radi.ac.cn
- Introduction：张立福，1967年生,男 ,研究员, 研究方向为高光谱遥感理论和时空谱多维数据融合及应用。E-mail: zhanglf@radi.ac.cn
ZHANG Lifu
1 * ,
- Affiliation：
  Aerospace Information Research Institute, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
  College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
ZHONG Tao
12 * ,
- Affiliation：
  Aerospace Information Research Institute, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
  Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing 100871, China
LIU Hualiang
13 * ,
- Affiliation：
  Aerospace Information Research Institute, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
  College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
ZHU Man
12 * ,
- Affiliation：
  Aerospace Information Research Institute, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
WANG Nan
1 * ,
- Affiliation：
  Aerospace Information Research Institute, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
TONG Qingxi
1 *
Vol. 24, Issue 11, Pages: 1293-1298(2020)
DOI：10.11834/jrs.20209063
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 2 ) 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

Universal Normalized Vegetation Index (UNVI) and UNVI software based on IDL

Spatial reconstruction-aided spatio-temporal fusion of NDVI images

Common mistakes in remote sensing studies of green tides and golden tides in the Yellow Sea and East China Sea

Monitoring chilling damage of corn in the Northeast China based on MODIS LST and meteorological data

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

Related Author

Shunshi HU 湖南师范大学资源与环境科学学院;湖南师范大学地理空间大数据挖掘与应用湖南省重点实验室

Chenlu ZHANG 湖南师范大学资源与环境科学学院

Na QIAO 中国科学院遥感与数字地球研究所遥感科学国家重点实验室;中国科学院大学资源与环境学院

Xuejian SUN 中国科学院遥感与数字地球研究所遥感科学国家重点实验室

Tao ZHONG 中国科学院遥感与数字地球研究所遥感科学国家重点实验室;中国科学院大学资源与环境学院

TANG Yijie 同济大学测绘与地理信息学院

WANG Qunming 同济大学测绘与地理信息学院

HU Chuanmin 美国南佛罗里达大学海洋科学学院

Related Institution

College of Resources and Environmental Sciences, Hunan Normal University

Key Laboratory of Geospatial Big Data Mining and Application

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science

College of Surveying and Geo-Informatics, Tongji University

College of Marine Science, University of South Florida, St. Petersburg