About This Journal
The Journal of Remote Sensing is an online-only Open Access Science Partner Journal published in affiliation with Aerospace Information Research Institute, Chinese Academy of Sciences (AIR-CAS) and distributed by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Journal of Remote Sensing is editorially independent from the Science family of journals and AIR-CAS is responsible for all content published in the journal. To learn more about the Science Partner Journal program, visit the SPJ program homepage.
Journal of Remote Sensing content is Open Access, publishing under a Creative Commons Attribution License (CC BY) on a continuous basis. This means that content is freely available to all readers upon publication and content is published as soon as production is complete. AIR-CAS holds an exclusive license to the content, the author(s) hold copyright and retain the right to publish.
Mission and Scope
The Journal of Remote Sensing aims to publish high-quality, online-only, Open Access publications to benefit the earth observation community, open to everyone in need of them.
Scope: The Journal of Remote Sensing focuses on the theory, science, and technology of remote sensing, as well as interdisciplinary research with earth science and information science. The journal publishes original research articles, review articles, editorials, and perspectives.
Topics of particular interest include, but are not limited to:
- Radiative transfer modelling
- Biogeosciences remote sensing
- Land cover and land use
- Agriculture, forestry and range
- Atmospheric science and meteorology
- Ocean and inland water remote sensing
- Snow, ice and glaciers
- Remote sensing of energy, water and biogeochemistry cycles
- Natural hazards/disasters and environment sciences
- Image processing, data fusion, data mining and data assimilation
- Advanced remote sensing techniques and spectral-radiometric measurements
- Interdisciplinary research in artificial intelligence and big data
DOI Prefix: 10.34133
If you are an author seeking information regarding editorial policies or if you have questions about submitting a manuscript, please first review the journal’s Publication Ethics and the Information for Authors page.
Editorial and submissions inquiries
Journal of Remote Sensing Editorial Office
Room 223, Main building
No.19, North 4th Ring Road West
To submit a new manuscript, check the status of a submitted manuscript, or submit a revised manuscript