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

Mahalanobis masking: a method for the sensitivity analysis of anomaly detection algorithms for hyperspectral imagery

Adam J. Messer and Kenneth W. Bauer

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

Guest Editors: Shibo Fang, George Petropoulos and Davide Cammarano

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

Sabrina Esch et al.

April 2018


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

Stand-off detection of alcohol in car cabins

Jarosław Młyńczak, Jan Kubicki, Krzysztof Kopczyński (2014) 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

Review of the use of remote sensing for biomass estimation to support renewable energy generation

Lalit Kumar, Priyakant Sinha, Subhashni Taylor, Abdullah F. Alqurashi (2015) 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

Developing an algorithm for enhancement of a digital terrain model for a densely vegetated floodplain wetland

Dorota Mirosław-Świątek, Sylwia Szporak-Wasilewska, Robert Michałowski, Ignacy Kardel, Mateusz Grygoruk (2016) Open Access

Low-cost multispectral imaging for remote sensing of lettuce health

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

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  • Rigorous, prompt peer review (median time from submission to first decision: 37 days)
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