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 "Deep learning in land-use classification and geostatistics in soil pH mapping: a case study at Lakehead University Agricultural Research Station, Thunder Bay, Ontario, Canada" by Valeria Campos Carrillo et al. in Vol. 16, Issue 3.

Featured Content

Special Section on Unmanned Systems and Satellites: A Synergy for Added-Value Possibilities

Guest Editors: Panagiotis Partsinevelos and Hongbo Su

Time-series metrics applied to land use and land cover mapping with focus on landslide detection

Tatiana Dias Tardelli Uehara et al.

Multiple-instrument-based spectral irradiance of the Moon

Hugh H. Kieffer

Previously Published Special Sections

from the Journal of Applied Remote Sensing


Unmanned Systems and Satellites: A Synergy for Added-Value Possibilities (April-June 2022)

Guest Editors: Panagiotis Partsinevelos and Hongbo Su


Coastal Zone Remote Sensing for Environmental Sustainability (January-March 2022)

Guest Editors: Shuisen Chen, Chandrasekar Nainarpandian, and Ayad M. Fadhil Al-Quraishi


Multitemporal Remote Sensing Data Processing and Applications (October-December 2021)

Guest Editors: Liangpei Zhang, Jocelyn Chanussot, Assefa M. Melesse, and Xinghua Li


Satellite Hyperspectral Remote Sensing: Algorithms and Applications (October-December 2021)

Guest Editors: Kun Tan, Xiuping Jia, and Antonio J. Plaza


Satellite Remote Sensing for Disaster Monitoring and Risk Assessment, Management, and Mitigation (July-September 2021)

Guest Editors: Hung Lung Allen Huang and Mitchell Goldberg


Hyperspectral Remote Sensing and Imaging Spectrometer Design (July-September 2021)

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


Representation Learning and Big Data Analytics for Remote Sensing (July-September 2020)

Guest Editors: Weifeng Liu, Yicong Zhou, Karen Panetta, Sos Agaian


Instrument Calibration and Product Validation of GOES-R (July-September 2020)

Guest Editors: Xiangqian Wu, Changyong Cao, Satya Kalluri, Jaime Daniels


Advances in Remote Sensing for Forest Structure and Functions (April-June 2020)

Guest Editors: Lin (Tony) Cao, Yunsheng Wang, Hao Tang


CubeSats and NanoSats for Remote Sensing (July-September 2019)

Guest Editors: Thomas Pagano and Charles Norton


Video introduction to the journal

Journal Metrics:
ISSN: 1931-3195
CiteScoreTM 2020: 3.0
Impact Factor *: 1.53
5-Year Impact Factor *: 1.565
h5-index:  24 (#19 in Remote Sensing)
*Source: Journal Impact FactorTM, from Clarivate, 2021

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

 


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