Current Science, Engineering and Technology
ISSN (Print):
3050-6115
ISSN (Online):
3050-6123

About The Section


Journal
Remote Sensing

Publishes original research articles, letters, reviews/mini- reviews and guest edited thematic issues on various topics related to remote sensing. 

The Remote Sensing section of the journal Current Chinese Science publishes original research articles, letters, reviews/mini- reviews and guest edited thematic issues on various topics related to remote sensing. 

This section is not limited to a specific aspect of the field but is instead devoted to a wide range of sub fields in the area. Articles of a multidisciplinary nature are particularly welcome. Submissions in the following remote sensing areas are of special interest to the readers of this journal:

• Atmospheric science and meteorology
• Dedicated satellite missions
• Economic surveys and cost-benefit analyses
• Empirical analysis techniques
• Environmental remote sensing and applications
• Geometric reconstruction
• Hyperspectral remote sensing of water and minerals
• Image processing
• Image processing and pattern recognition
• Imaging and related sensors
• Land cover and land use change
• Lidar and laser scanning
• Marine remote sensing and coastal studies
• Mechanistic modeling and inversion
• Microwave remote sensing
• Multi-spectral and hyperspectral remote sensing
• New sensor systems
• Optical and microwave remote sensing of earth observation
• Remote sensing applications
• Remotely sensed data collection and use
• Sensor networks and sensing systems
• Support to land management
• Time series/change analysis
• Others

Section Editor-in-Chief
Yuanzhi Zhang Nanjing University of Information Science and Technology
Nanjing
China
Co-Section Editor-in-Chief
Bo-Hui Tang
Institute of Geographic Sciences and Natural Resources Research
Chinese Academy of Sciences
Beijing
China
Editorial Board Member(s)
Ronghai Hu
College of Resources and Environment
University of Chinese Academy of Science
Beijing
China
Ruofei Zhong
College of Resource Environment and Tourism
Capital Normal University
Beijing
China

Section: Remote Sensing


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