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

Special Section on Optics in Atmospheric Propagation and Adaptive Systems

Guest Editors: Karin Stein, Szymon Gladysz, Christian Eisele, and Vladimir Lukin

Spaceborne synthetic aperture radar signal processing using field-programmable gate arrays

Yohei Sugimoto, Satoru Ozawa, and Noriyasu Inaba

Special Section on Advances in Remote Sensing for Air Quality Management

Guest Editors: Barry Gross, Klaus Schäfer, Philippe Keckhut

July 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

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

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

Ramanuja Manavalan (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

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

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

Assessing seasonal land cover dynamics in the tropical Kilombero floodplain of East Africa

Fridah Kirimi, Kuria Thiong’o, Geofrey Gabiri, Bernd Diekkrüger, Frank Thonfeld (2018) Open Access

Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment

Carly Stanton, Michael J. Starek, Norman Elliott, Michael Brewer, Murilo M. Maeda, Tianxing Chu (2017) Open Access

Spatio-temporal evaluation of plant height in corn via unmanned aerial systems

Sebastian Varela et al. (2017) Open Access

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