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 "Urban built-up areas extraction by the multiscale stacked denoising autoencoder technique" by Xiaofei Mi et al. in the Special Section on Representation Learning and Big Data Analytics for Remote Sensing in Vol. 14, Issue 3.

Featured Content

Low earth orbit sounder retrieval products at geostationary earth orbit spatial and temporal scales

James Anheuser, Elisabeth Weisz, W. Paul Menzel

Review of approaches for the estimation of sensible heat flux in remote sensing-based evapotranspiration models

M. M. Prakash Mohan, Rajitha Kanchirapuzha, and Murari R. R. Varma

Special Section on Representation Learning and Big Data Analytics for Remote Sensing

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

Most Viewed

from the Journal of Applied Remote Sensing


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


On-orbit calibration and characterization of GOES-17 ABI IR bands under dynamic thermal condition

Zhipeng Wang, et al. (2020) Open Access


Review of approaches for the estimation of sensible heat flux in remote sensing-based evapotranspiration models

M. M. Prakash Mohan, Rajitha Kanchirapuzha, Murari R. R. Varma (2020) Open Access


GOES-R series ABI Imagery artifacts

Mathew M. Gunshor, Timothy J. Schmit, David R. Pogorzala, Scott S. Lindstrom, James P. Nelson (2020) Open Access


RainCube: the first ever radar measurements from a CubeSat in space

Eva Peral, et al. (2019) Open Access


Urban built-up areas extraction by the multiscale stacked denoising autoencoder technique

Xiaofei Mi, Weijia Cao, Jian Yang, Zhenghuan Li, Yazhou Zhang, Qianjing Li, Zhensheng Sun, Yulin Zhan (2020) Open Access


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


Semantic segmentation of multisensor remote sensing imagery with deep ConvNets and higher-order conditional random fields

Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber (2019) 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


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

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  • Free online color figures
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  • 5 free downloads from the SPIE Digital Library for authors
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  • Eligibility for annual best paper award
  • Integration with Code Ocean, a cloud-based code development and publishing platform

 


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