Journal of Applied Remote Sensing

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

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. 

On the cover: The figure is from the paper "Toward high-performance SPAD arrays for space-based atmosphere and ocean profiling LiDARs" by Giulia Acconcia et al. in Vol. 15, Issue 1.

Featured Content

Special Section on Satellite Remote Sensing for Disaster Monitoring and Risk Assessment, Management, and Mitigation

Guest Editors: Hung Lung Allen Huang and Mitchell Goldberg

Special Section on Hyperspectral Remote Sensing and Imaging Spectrometer Design

Guest Editors: Shen-En Qian, Robert O. Green, and Antonio J. Plaza

Toward high-performance SPAD arrays for space-based atmosphere and ocean profiling LiDARs

Giulia Acconcia et al.

Most Viewed

from the Journal of Applied Remote Sensing


Crop classification from Sentinel-2-derived vegetation indices using ensemble learning

Rei Sonobe, Yuki Yamaya, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi, Kan-ichiro Mochizuki (2018) Open Access


Machine learning approach to locate desert locust breeding areas based on ESA CCI soil moisture

Diego Gómez, Pablo Salvador, Julia Sanz, Carlos Casanova, Daniel Taratiel, Jose Luis Casanova (2018) Open Access


Estimating biomass in temperate grassland with high resolution canopy surface models from UAV-based RGB images and vegetation indices

Ulrike Lussem, Andreas Bolten, Jannis Menne, Martin Leon Gnyp, Jürgen Schellberg, Georg Bareth (2019) Open Access


Remote sensing estimation of surface oil volume during the 2010 Deepwater Horizon oil blowout in the Gulf of Mexico: scaling up AVIRIS observations with MODIS measurements

Chuanmin Hu, et al. (2018) Open Access


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

Gaia Vaglio Laurin, et al. (2018) Open Access


Ship detection and tracking method for satellite video based on multiscale saliency and surrounding contrast analysis

Haichao Li, Liang Chen, Feng Li, Meiyu Huang (2019) Open Access


Review of synthetic aperture radar frequency, polarization, and incidence angle data for mapping the inundated regions

Ramanuja Manavalan (2018) Open Access


Manned aircraft versus small unmanned aerial system—forestry remote sensing comparison utilizing lidar and structure-from-motion for forest carbon modeling and disturbance detection

Michael P. McClelland, Jan van Aardt, Darin Hale (2019) Open Access


Using convolutional neural network to identify irregular segmentation objects from very high-resolution remote sensing imagery

Tengyu Fu, Lei Ma, Manchun Li, Brian A. Johnson (2018) Open Access


Residential roof condition assessment system using deep learning

Fan Wang, John P. Kerekes, Zhuoyi Xu, Yandong Wang (2018) Open Access


Video introduction to the journal

Author Benefits:

  • Rigorous, prompt peer review
  • Rapid, e-first publication of articles
  • 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 annual best paper award
  • Integration with Code Ocean, a cloud-based code development and publishing platform

 


Alerts Receive Email Alerts

Become a Reviewer

CONTRIBUTE TO YOUR FIELD
BY SHARING YOUR EXPERTISE

Access & Subscriptions

SUBSCRIPTION AND MEMBERSHIP INFORMATION

Submit a Manuscript

REACH A WIDE AUDIENCE
FOR YOUR RESEARCH

Back to Top