Journal of Applied Remote Sensing
Editor(s):

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

Demonstration of 25-Hz-inspection-speed laser remote sensing for internal concrete defects

Shinri Kurahashi et al.

Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines

Abdul Qayyum et al.

February 2018

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Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data

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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)
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  • 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. See the press release about the most recent awards here.
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