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

Use of different temporal scales to monitor phenology and its relationship with temporal evolution of normalized difference vegetation index in wheat

Laura González-Gómez, Isidro Campos, and Alfonso Calera

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.

Special Section on Recent Advances in Earth Observation Technologies for Agrometeorology and Agroclimatology

Guest Editors: Shibo Fang, George Petropoulos and Davide Cammarano

May 2018

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from the Journal of Applied Remote Sensing


Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

John E. Ball, Derek T. Anderson, Chee Seng Chan (2017) Open Access


Rapid broad area search and detection of Chinese surface-to-air missile sites using deep convolutional neural networks

Richard A. Marcum, Curt H. Davis, Grant J. Scott, Tyler W. Nivin (2017) 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


Comparison of mosaicking techniques for airborne images from consumer-grade cameras

Huaibo Song, Chenghai Yang, Jian Zhang, Wesley C. Hoffmann, Dongjian He, J. Alex Thomasson (2016) Open Access


Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method

Zhongchang Sun, Patrick Leinenkugel, Huadong Guo, Chong Huang, Claudia Kuenzer (2017) Open Access


Low-cost multispectral imaging for remote sensing of lettuce health

David D. Ren, Siddhant Tripathi, Larry K. Li (2017) Open Access


Mapping asphalt pavement aging and condition using multiple endmember spectral mixture analysis in Beijing, China

Yifan Pan, Xianfeng Zhang, Jie Tian, Xu Jin, Lun Luo, Ke Yang (2017) Open Access


Residential roof condition assessment system using deep learning

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


Soil moisture index from ERS-SAR and its application to the analysis of spatial patterns in agricultural areas

Sabrina Esch, Wolfgang Korres, Tim G. Reichenau, Karl Schneider (2018) Open Access


Dynamic analysis of urban ground subsidence in Beijing based on the permanent scattering InSAR technology

Xian Gang Luo, Jingjing Wang, Zhanya Xu, Shuang Zhu, Lingsheng Meng, Jiakui Liu, Yi Cui (2018) Open Access


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  • Rigorous, prompt peer review (median time from submission to first decision: 37 days)
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  • Eligibility for one of three annual best paper awards. See the press release about the most recent awards here.
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