Journal of Applied Remote Sensing

Editor-in-Chief: Ni-Bin Chang, University of Central Florida

The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, ecological restoration, and numerous other commercial and scientific applications. 

Journal of Applied Remote Sensing

Special Section on Improved Intercalibration of Earth Observation Data

Guest Editors: Craig Coburn and Aaron Gerace

Special Section on Feature and Deep Learning in Remote Sensing Applications

Guest editors: John Ball, Derek Anderson, Chee Seng Chan

Journal of Applied Remote Sensing names best papers in three categories

November 2017

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Video introduction to the journal

Author Benefits:

  • Rigorous, prompt peer review (median time from submission to first decision: 37 days)
  • Rapid, e-first publication of articles (median time from acceptance to publication: 23 days)
  • Professional copyediting and typesetting
  • Free online color figures
  • Free inclusion of video and multimedia content
  • 5 free downloads from the SPIE Digital Library for authors
  • Open access publication option at a low cost
  • Eligibility for one of three annual best paper awards
  • Integration with Code Ocean, a cloud-based code development and publishing platform

 

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