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.
Special Section on Optics in Atmospheric Propagation and Adaptive Systems
Guest Editors: Karin Stein, Szymon Gladysz, Christian Eisele, and Vladimir Lukin
Special Section on Advances in Agro-Hydrological Remote Sensing for Water Resources Conservation
Guest Editors: Antonino Maltese and Christopher M. U. Neale
Special Section on Advances in Remote Sensing for Air Quality Management
Guest Editors: Barry Gross, Klaus Schäfer, Philippe Keckhut
November 2018
TOP DOWNLOADS
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)
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)
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)
Plankton Aerosol, Cloud, ocean Ecosystem mission: atmosphere measurements for air quality applications
Ali H. Omar, Maria Tzortziou, Odele Coddington, Lorraine A. Remer (2018)
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)
Segmentation model based on convolutional neural networks for extracting vegetation from Gaofen-2 images
Chengming Zhang, Jiping Liu, Fan Yu, Shujing Wan, Yingjuan Han, Jing Wang, Gang Wang (2018)
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)
Advances in multiangle satellite remote sensing of speciated airborne particulate matter and association with adverse health effects: from MISR to MAIA
David J. Diner et al. (2018)
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)
Spatio-temporal evaluation of plant height in corn via unmanned aerial systems
Sebastian Varela et al. (2017)
Video introduction to the journal
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- Rigorous, prompt peer review (median time from submission to first decision: 37 days)
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